Quadrado Latino (Box Hunter)
Caso 1
Para os dados aprensentados, temos que o experimento tenta medir a eficiência com diferentes tipos de rpm, no qual é conduzido por 4 velocidades, e para controlar o efeito da materia prima, utilizamos 4 blocos, assim temos que o modelo é dado por
\[y_{ij}=\mu+\tau_i+\beta_j+e_{ij}\] Sendo \(\tau_i\) os tratamentos que queremos comparar e \(\beta_j\), os efeitos de bloco para contornar a variabilidade não controlada.
valores = c(8,4,5,6,
14,5,6,9,
14,6,9,2,
17,9,3,6)
trat = factor(rep(1:4,each=4))
bloc = factor(rep(1:4,4))
data.frame(valores,trat,bloc)## valores trat bloc
## 1 8 1 1
## 2 4 1 2
## 3 5 1 3
## 4 6 1 4
## 5 14 2 1
## 6 5 2 2
## 7 6 2 3
## 8 9 2 4
## 9 14 3 1
## 10 6 3 2
## 11 9 3 3
## 12 2 3 4
## 13 17 4 1
## 14 9 4 2
## 15 3 4 3
## 16 6 4 4mod = aov(valores~bloc+trat)
summary(mod)## Df Sum Sq Mean Sq F value Pr(>F)
## bloc 3 165.19 55.06 6.348 0.0133 *
## trat 3 22.19 7.40 0.853 0.4995
## Residuals 9 78.06 8.67
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Assim, pelo teste anova, não rejeitamos a hipotese de igualdade entre as médias do tratamento.
Agora avaliando as suposições do modelo
#teste de normalidade
shapiro.test(mod$residuals)##
## Shapiro-Wilk normality test
##
## data: mod$residuals
## W = 0.9301, p-value = 0.2447#teste de hogeneidade de variancias
bartlett.test(valores,trat)##
## Bartlett test of homogeneity of variances
##
## data: valores and trat
## Bartlett's K-squared = 3.5316, df = 3, p-value = 0.3167# levene.test(mod$residuals,trat,location="median")Caso 2
library(agricolae)## Warning: pacote 'agricolae' foi compilado no R versão 4.4.2a=4;b=5;n=4*5
tau= c(10,15,-20, -5)
beta= c(20,10,5, -7, 28)
sig=4;mu=100
trat = factor(rep(1:4, 5))
bloc = factor(rep(1:5,each=4))
taus = rep(tau,5)
betas = rep(beta, each=4)
lambda <- 0.01
pvalor1=c()
pvalor2=c()
for (simu in 1:1000) {
e = rnorm(12,0,sig)
y = mu+ taus + betas+lambda*taus*betas + e
modelo = aov(y~bloc+trat)
# Podemos calcular a aditividade assim
nad = nonadditivity(y,bloc,trat,
df = summary(modelo)[[1]][3,1],
MSerror=summary(modelo)[[1]][3,3])
pvalor1[simu] = nad$ANOVA[1,5]
# Ou assim
q = modelo$fitted.values^2 # =y_hat^2
mod_q = aov(q~bloc+trat)
P = sum((q-mod_q$fitted.values)*(y-modelo$fitted.values))
Q = sum((q-mod_q$fitted.values)^2)
SQAB = P^2/Q
SQRES.estrela = summary(modelo)[[1]][3,2]-SQAB
pvalor2[simu] = 1-pf( (SQAB/1)/
SQRES.estrela/( (a-1)*(b-1)-1 ),
1, (a-1)*(b-1)-1)
}## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20115.59
## Q : 3382080
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 119.64 119.641 7.7282 0.01791 *
## Residuals 11 170.29 15.481
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19997.19
## Q : 4284804
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 93.327 93.327 6.7554 0.02473 *
## Residuals 11 151.968 13.815
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8117.293
## Q : 2700823
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.396 24.396 1.3086 0.2769
## Residuals 11 205.082 18.644## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10749.28
## Q : 2542268
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.45 45.450 3.8532 0.07543 .
## Residuals 11 129.75 11.795
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15616.83
## Q : 2659995
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 91.686 91.686 4.9304 0.04833 *
## Residuals 11 204.558 18.596
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8591.211
## Q : 2412415
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.595 30.5954 3.794 0.0774 .
## Residuals 11 88.705 8.0641
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6590.331
## Q : 2602818
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 16.687 16.687 1.3745 0.2658
## Residuals 11 133.538 12.140## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11255.38
## Q : 1687068
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 75.09 75.091 2.4324 0.1471
## Residuals 11 339.59 30.872## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : -1936.389
## Q : 4169265
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.899 0.8993 0.0404 0.8444
## Residuals 11 244.976 22.2705## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16667.43
## Q : 4363326
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 63.668 63.668 11.827 0.005535 **
## Residuals 11 59.218 5.383
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13967.58
## Q : 1778063
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 109.72 109.722 3.2251 0.1
## Residuals 11 374.24 34.021## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16853.92
## Q : 3024879
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 93.906 93.906 3.6161 0.08372 .
## Residuals 11 285.658 25.969
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13937.92
## Q : 2723804
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 71.321 71.321 3.6663 0.08188 .
## Residuals 11 213.986 19.453
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14481.98
## Q : 2218267
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 94.546 94.546 8.2153 0.01534 *
## Residuals 11 126.594 11.509
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3291.401
## Q : 2021033
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5.36 5.3603 0.2728 0.6118
## Residuals 11 216.13 19.6478## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14909.37
## Q : 3097494
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 71.764 71.764 7.9461 0.0167 *
## Residuals 11 99.345 9.031
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12629.78
## Q : 3017989
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 52.854 52.854 5.1242 0.0448 *
## Residuals 11 113.459 10.314
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19506.67
## Q : 2733506
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 139.202 139.202 16.773 0.001773 **
## Residuals 11 91.289 8.299
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14187.95
## Q : 3115043
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 64.621 64.621 5.928 0.03313 *
## Residuals 11 119.911 10.901
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10611.68
## Q : 3345765
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 33.657 33.657 4.291 0.06261 .
## Residuals 11 86.280 7.844
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7133.191
## Q : 3200908
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.896 15.896 0.9563 0.3491
## Residuals 11 182.855 16.623## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12356.68
## Q : 2922446
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 52.246 52.246 5.2794 0.0422 *
## Residuals 11 108.860 9.896
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17852.89
## Q : 2965671
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 107.47 107.472 5.9267 0.03314 *
## Residuals 11 199.47 18.133
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7472.403
## Q : 3245153
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 17.206 17.206 1.3163 0.2756
## Residuals 11 143.790 13.072## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16217.33
## Q : 2107595
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 124.79 124.788 7.3008 0.02058 *
## Residuals 11 188.02 17.092
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15361.23
## Q : 3514689
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 67.138 67.138 9.5726 0.01021 *
## Residuals 11 77.149 7.014
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10767.24
## Q : 4279946
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 27.088 27.088 1.6535 0.2249
## Residuals 11 180.201 16.382## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 2581.984
## Q : 2662669
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2.504 2.5037 0.157 0.6995
## Residuals 11 175.442 15.9493## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10108.82
## Q : 3990164
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 25.61 25.610 1.9855 0.1864
## Residuals 11 141.88 12.899## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9534.654
## Q : 1980653
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.899 45.899 7.1903 0.02135 *
## Residuals 11 70.218 6.383
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10331.43
## Q : 3049823
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 34.998 34.998 4.1773 0.06567 .
## Residuals 11 92.160 8.378
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11240.37
## Q : 2341468
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.960 53.960 8.1397 0.01571 *
## Residuals 11 72.922 6.629
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18869.32
## Q : 3002824
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 118.57 118.572 13.7 0.003493 **
## Residuals 11 95.20 8.655
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9078.751
## Q : 2738699
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.096 30.096 2.883 0.1176
## Residuals 11 114.831 10.439## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16189.85
## Q : 2998883
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 87.403 87.403 7.5916 0.01871 *
## Residuals 11 126.644 11.513
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19383.29
## Q : 2373533
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 158.29 158.292 11.846 0.005508 **
## Residuals 11 146.99 13.363
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15041.99
## Q : 3353911
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 67.462 67.462 11.454 0.006095 **
## Residuals 11 64.789 5.890
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17190.47
## Q : 3376483
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 87.521 87.521 11.873 0.005469 **
## Residuals 11 81.083 7.371
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16636.33
## Q : 3305068
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 83.74 83.740 77.929 2.531e-06 ***
## Residuals 11 11.82 1.075
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 23460.28
## Q : 3842606
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 143.23 143.232 6.2445 0.02956 *
## Residuals 11 252.31 22.937
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15000.39
## Q : 2679270
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 83.98 83.982 2.1336 0.1721
## Residuals 11 432.99 39.363## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 2584.697
## Q : 1932553
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3.457 3.4569 0.2099 0.6557
## Residuals 11 181.133 16.4666## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16880.13
## Q : 2524211
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 112.88 112.882 3.3267 0.09542 .
## Residuals 11 373.25 33.932
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4100.075
## Q : 3172351
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5.299 5.2991 0.2443 0.6308
## Residuals 11 238.612 21.6920## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10629.62
## Q : 2502641
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.148 45.148 11.503 0.006018 **
## Residuals 11 43.174 3.925
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 23748.34
## Q : 4021693
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 140.24 140.235 10.954 0.006958 **
## Residuals 11 140.83 12.802
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14192
## Q : 2584572
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 77.929 77.929 13.329 0.003815 **
## Residuals 11 64.313 5.847
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15789.27
## Q : 2535692
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 98.317 98.317 3.5053 0.08798 .
## Residuals 11 308.527 28.048
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7156.461
## Q : 1687169
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.356 30.355 3.6241 0.08342 .
## Residuals 11 92.136 8.376
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11025.4
## Q : 2667342
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.573 45.573 5.5302 0.03838 *
## Residuals 11 90.648 8.241
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13191.09
## Q : 2854334
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 60.962 60.962 7.5876 0.01874 *
## Residuals 11 88.378 8.034
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8021.55
## Q : 2344571
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 27.444 27.444 2.6278 0.1333
## Residuals 11 114.883 10.444## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6024.265
## Q : 3184791
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11.395 11.3953 1.3041 0.2777
## Residuals 11 96.117 8.7379## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 22443.56
## Q : 2958183
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 170.28 170.278 6.0405 0.03181 *
## Residuals 11 310.08 28.189
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6953.226
## Q : 2690767
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 17.968 17.968 1.7423 0.2137
## Residuals 11 113.438 10.312## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14701.12
## Q : 2492396
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 86.713 86.713 5.3419 0.04121 *
## Residuals 11 178.558 16.233
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8629.919
## Q : 2400984
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 31.019 31.0187 11.939 0.005378 **
## Residuals 11 28.579 2.5981
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13482.96
## Q : 3089218
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 58.847 58.847 7.5455 0.019 *
## Residuals 11 85.788 7.799
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17396.75
## Q : 2988904
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 101.257 101.257 12.707 0.004436 **
## Residuals 11 87.651 7.968
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16596.52
## Q : 2326960
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 118.37 118.37 5.898 0.03349 *
## Residuals 11 220.77 20.07
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17480.16
## Q : 3002451
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 101.77 101.77 4.729 0.05235 .
## Residuals 11 236.72 21.52
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9920.195
## Q : 1978018
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.752 49.752 12.457 0.00472 **
## Residuals 11 43.934 3.994
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8947.999
## Q : 2402403
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 33.328 33.328 2.6413 0.1324
## Residuals 11 138.797 12.618## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16409.34
## Q : 2191865
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 122.85 122.85 10.682 0.007486 **
## Residuals 11 126.50 11.50
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15754.58
## Q : 3756967
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 66.066 66.066 12.247 0.004975 **
## Residuals 11 59.341 5.395
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13072.09
## Q : 3081643
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 55.451 55.451 5.1336 0.04464 *
## Residuals 11 118.817 10.802
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10255.44
## Q : 3579084
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 29.386 29.386 1.839 0.2022
## Residuals 11 175.768 15.979## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8433.961
## Q : 2913064
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.42 24.418 0.6122 0.4505
## Residuals 11 438.73 39.884## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18681.36
## Q : 4038797
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 86.41 86.410 4.9678 0.04762 *
## Residuals 11 191.34 17.394
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13794.58
## Q : 2483825
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.612 76.612 4.085 0.06828 .
## Residuals 11 206.299 18.754
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10856.06
## Q : 2275704
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.788 51.788 8.0561 0.01613 *
## Residuals 11 70.713 6.428
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12710.23
## Q : 2814811
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 57.393 57.393 16.838 0.001749 **
## Residuals 11 37.494 3.409
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 22249.58
## Q : 3529238
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 140.269 140.269 15.489 0.002329 **
## Residuals 11 99.615 9.056
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10847.09
## Q : 2559965
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.961 45.961 9.5312 0.01034 *
## Residuals 11 53.044 4.822
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15885.32
## Q : 2053583
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 122.88 122.88 9.9982 0.009047 **
## Residuals 11 135.19 12.29
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12561.8
## Q : 2658379
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 59.359 59.359 7.3912 0.01998 *
## Residuals 11 88.341 8.031
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 22166.34
## Q : 2652794
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 185.22 185.219 5.9625 0.03272 *
## Residuals 11 341.71 31.064
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13007.06
## Q : 2053042
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 82.406 82.406 6.8479 0.02396 *
## Residuals 11 132.372 12.034
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5291.055
## Q : 1883974
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14.86 14.860 1.1914 0.2984
## Residuals 11 137.20 12.473## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14218.23
## Q : 2520563
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 80.204 80.204 8.2825 0.01503 *
## Residuals 11 106.519 9.684
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : -2295.907
## Q : 2993461
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1.761 1.7609 0.082 0.7799
## Residuals 11 236.236 21.4760## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8942.857
## Q : 2969184
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 26.935 26.935 1.6717 0.2225
## Residuals 11 177.233 16.112## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9955.515
## Q : 2995346
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 33.089 33.089 5.681 0.03628 *
## Residuals 11 64.069 5.824
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11229.12
## Q : 2889889
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 43.632 43.632 20.314 0.0008907 ***
## Residuals 11 23.627 2.148
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19187.4
## Q : 3101397
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 118.71 118.71 5.4829 0.03906 *
## Residuals 11 238.15 21.65
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13081.03
## Q : 4343004
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 39.400 39.400 8.2992 0.01495 *
## Residuals 11 52.222 4.747
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8404.662
## Q : 2829872
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.962 24.962 2.1671 0.169
## Residuals 11 126.703 11.518## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13161.16
## Q : 2728992
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 63.473 63.473 5.5428 0.0382 *
## Residuals 11 125.966 11.451
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8002.359
## Q : 2760014
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 23.202 23.202 1.5196 0.2434
## Residuals 11 167.954 15.269## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11739.78
## Q : 3190595
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 43.196 43.196 4.529 0.05676 .
## Residuals 11 104.915 9.538
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18194.67
## Q : 2418828
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 136.86 136.862 9.2187 0.01132 *
## Residuals 11 163.31 14.846
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12893.47
## Q : 2520380
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 65.959 65.959 4.0715 0.06867 .
## Residuals 11 178.200 16.200
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9214.274
## Q : 2434025
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 34.882 34.882 1.4456 0.2545
## Residuals 11 265.418 24.129## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8651.43
## Q : 2664088
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 28.095 28.0949 4.4913 0.05764 .
## Residuals 11 68.810 6.2554
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14583.01
## Q : 2972308
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 71.548 71.548 6.6123 0.02598 *
## Residuals 11 119.025 10.820
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11583.45
## Q : 2754727
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.708 48.708 2.2169 0.1646
## Residuals 11 241.684 21.971## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7370.921
## Q : 2968969
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 18.299 18.299 1.6172 0.2297
## Residuals 11 124.473 11.316## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 24037.03
## Q : 4403220
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 131.217 131.217 16.121 0.002033 **
## Residuals 11 89.533 8.139
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9194.085
## Q : 1757771
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.09 48.090 5.1686 0.04404 *
## Residuals 11 102.35 9.304
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19337.44
## Q : 2422652
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 154.35 154.350 13.444 0.003712 **
## Residuals 11 126.29 11.481
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15089.64
## Q : 2234988
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 101.879 101.879 28.851 0.0002263 ***
## Residuals 11 38.843 3.531
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11525.38
## Q : 2468391
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.814 53.814 26.419 0.0003233 ***
## Residuals 11 22.406 2.037
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9070.837
## Q : 2511529
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 32.761 32.761 3.4237 0.09129 .
## Residuals 11 105.257 9.569
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17304.09
## Q : 2705823
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 110.66 110.662 8.2604 0.01513 *
## Residuals 11 147.36 13.397
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17929.5
## Q : 3328647
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 96.576 96.576 12.864 0.004269 **
## Residuals 11 82.583 7.508
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5087.994
## Q : 1783254
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14.517 14.517 1.4391 0.2555
## Residuals 11 110.963 10.088## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7887.885
## Q : 2347447
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 26.505 26.5049 3.7187 0.08001 .
## Residuals 11 78.403 7.1275
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12203.02
## Q : 3301306
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.107 45.107 8.1683 0.01557 *
## Residuals 11 60.745 5.522
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15418.86
## Q : 3375322
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.435 70.435 22.412 0.0006152 ***
## Residuals 11 34.570 3.143
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13842.96
## Q : 2774850
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 69.059 69.059 4.5013 0.05741 .
## Residuals 11 168.762 15.342
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11716.64
## Q : 2844122
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.268 48.268 5.3543 0.04101 *
## Residuals 11 99.163 9.015
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10613.5
## Q : 3030411
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.172 37.172 2.9912 0.1116
## Residuals 11 136.697 12.427## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10791.35
## Q : 2607695
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 44.658 44.658 3.4013 0.09222 .
## Residuals 11 144.426 13.130
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13979.29
## Q : 3112177
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.792 62.792 6.5152 0.02688 *
## Residuals 11 106.017 9.638
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14876.1
## Q : 2838504
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 77.963 77.963 15.752 0.002201 **
## Residuals 11 54.445 4.950
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4331.688
## Q : 1265805
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14.823 14.823 0.8666 0.3719
## Residuals 11 188.159 17.105## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14607.65
## Q : 1682434
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 126.83 126.830 3.5904 0.08469 .
## Residuals 11 388.58 35.325
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8831.792
## Q : 2581617
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.214 30.2138 10.512 0.007843 **
## Residuals 11 31.617 2.8743
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19920.7
## Q : 2850913
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 139.20 139.196 4.8782 0.04933 *
## Residuals 11 313.87 28.534
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9228.401
## Q : 2533236
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 33.618 33.618 5.3222 0.04152 *
## Residuals 11 69.483 6.317
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8972.051
## Q : 2464094
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 32.668 32.668 3.8142 0.07673 .
## Residuals 11 94.215 8.565
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4475.897
## Q : 4185165
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.79 4.787 0.1415 0.714
## Residuals 11 372.15 33.832## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7671.66
## Q : 2710150
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.716 21.716 1.3015 0.2782
## Residuals 11 183.545 16.686## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9861.027
## Q : 3109442
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 31.272 31.2724 4.1223 0.06721 .
## Residuals 11 83.448 7.5862
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10440.51
## Q : 2666593
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.878 40.878 7.5395 0.01903 *
## Residuals 11 59.640 5.422
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 2190.87
## Q : 3733809
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1.286 1.2855 0.0465 0.8332
## Residuals 11 304.018 27.6380## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4729.572
## Q : 3196196
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6.999 6.9986 0.4435 0.5191
## Residuals 11 173.570 15.7791## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6155.296
## Q : 2479374
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.281 15.281 0.8523 0.3757
## Residuals 11 197.224 17.929## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10674.79
## Q : 2136669
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.331 53.331 2.5945 0.1355
## Residuals 11 226.113 20.556## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14352.09
## Q : 2919624
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.551 70.551 4.5656 0.05592 .
## Residuals 11 169.982 15.453
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : -903.424
## Q : 2348287
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.348 0.3476 0.0215 0.886
## Residuals 11 177.685 16.1532## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13209.8
## Q : 1803864
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 96.736 96.736 11.21 0.006498 **
## Residuals 11 94.920 8.629
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8598.158
## Q : 3384861
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.841 21.8409 2.6678 0.1307
## Residuals 11 90.055 8.1868## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11549.86
## Q : 2940956
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.359 45.359 3.7057 0.08046 .
## Residuals 11 134.643 12.240
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13204.76
## Q : 2777325
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.782 62.782 6.219 0.02983 *
## Residuals 11 111.047 10.095
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 2172.772
## Q : 3309677
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1.426 1.4264 0.0574 0.8151
## Residuals 11 273.447 24.8588## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11587.7
## Q : 3225652
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 41.627 41.627 4.0847 0.06829 .
## Residuals 11 112.100 10.191
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11618.75
## Q : 2121543
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 63.631 63.631 4.0738 0.06861 .
## Residuals 11 171.814 15.619
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13357.66
## Q : 2863295
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.315 62.315 6.2476 0.02953 *
## Residuals 11 109.718 9.974
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10886.31
## Q : 2290634
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.738 51.738 4.0524 0.06924 .
## Residuals 11 140.439 12.767
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17194.72
## Q : 3077618
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 96.067 96.067 16.401 0.001916 **
## Residuals 11 64.431 5.857
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11094.29
## Q : 3007421
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.93 40.927 1.092 0.3184
## Residuals 11 412.26 37.478## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10451.99
## Q : 2866395
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 38.112 38.112 2.6878 0.1294
## Residuals 11 155.976 14.180## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13601.59
## Q : 2634636
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.22 70.220 5.8988 0.03348 *
## Residuals 11 130.94 11.904
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4894.962
## Q : 3191999
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7.506 7.5065 0.5342 0.4801
## Residuals 11 154.575 14.0523## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11708.21
## Q : 3268939
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 41.935 41.935 5.2781 0.04222 *
## Residuals 11 87.396 7.945
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16406.64
## Q : 3164298
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 85.067 85.067 7.1893 0.02136 *
## Residuals 11 130.157 11.832
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7753.548
## Q : 2242214
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 26.812 26.812 2.5361 0.1396
## Residuals 11 116.292 10.572## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14328.79
## Q : 2511693
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 81.743 81.743 14.574 0.002855 **
## Residuals 11 61.696 5.609
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 2459.115
## Q : 2500020
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2.419 2.4189 0.1336 0.7217
## Residuals 11 199.191 18.1083## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14230.23
## Q : 2748075
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 73.688 73.688 18.235 0.00132 **
## Residuals 11 44.450 4.041
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18423.65
## Q : 3692135
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 91.934 91.934 18.303 0.001303 **
## Residuals 11 55.252 5.023
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14296.12
## Q : 3221196
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 63.448 63.448 3.4401 0.09061 .
## Residuals 11 202.884 18.444
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10385.36
## Q : 3009363
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 35.840 35.840 5.918 0.03325 *
## Residuals 11 66.617 6.056
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15958.44
## Q : 3142121
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 81.051 81.051 29.047 0.0002201 ***
## Residuals 11 30.694 2.790
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20420.76
## Q : 2491653
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 167.36 167.362 7.6879 0.01814 *
## Residuals 11 239.46 21.769
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9823.966
## Q : 1899454
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.81 50.81 3.7007 0.08064 .
## Residuals 11 151.03 13.73
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 21475.56
## Q : 2645584
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 174.33 174.328 12.169 0.005072 **
## Residuals 11 157.58 14.325
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8172.409
## Q : 2573845
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 25.949 25.9488 5.1999 0.04351 *
## Residuals 11 54.893 4.9903
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18332.62
## Q : 2490832
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 134.93 134.929 4.0431 0.06951 .
## Residuals 11 367.10 33.372
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11104.3
## Q : 2186943
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 56.383 56.383 6.2669 0.02933 *
## Residuals 11 98.966 8.997
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15070.21
## Q : 2966266
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.565 76.565 5.9715 0.03261 *
## Residuals 11 141.039 12.822
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15861.8
## Q : 3296860
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.314 76.314 4.4919 0.05763 .
## Residuals 11 186.880 16.989
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11592.3
## Q : 3353069
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.077 40.077 2.6703 0.1305
## Residuals 11 165.090 15.008## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6311.244
## Q : 1635632
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.353 24.352 1.1549 0.3055
## Residuals 11 231.957 21.087## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8469.367
## Q : 2604439
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 27.542 27.541 1.7809 0.209
## Residuals 11 170.116 15.465## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13952.36
## Q : 2772329
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.218 70.218 2.7432 0.1259
## Residuals 11 281.567 25.597## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11451.35
## Q : 2038614
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 64.325 64.325 3.4024 0.09218 .
## Residuals 11 207.962 18.906
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9590.583
## Q : 1995251
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 46.099 46.099 5.7597 0.03524 *
## Residuals 11 88.041 8.004
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11403.68
## Q : 1923453
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 67.61 67.610 7.3848 0.02002 *
## Residuals 11 100.71 9.155
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6584.25
## Q : 3392691
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12.778 12.778 0.9722 0.3453
## Residuals 11 144.581 13.144## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3161.849
## Q : 2462389
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.06 4.060 0.3314 0.5764
## Residuals 11 134.77 12.252## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11124.02
## Q : 2834652
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 43.654 43.654 2.0849 0.1766
## Residuals 11 230.320 20.938## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15245.64
## Q : 2501622
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 92.912 92.912 4.4962 0.05753 .
## Residuals 11 227.310 20.665
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14051.42
## Q : 3184321
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.005 62.005 9.0555 0.01188 *
## Residuals 11 75.319 6.847
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 23520.28
## Q : 3289403
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 168.18 168.177 8.2205 0.01532 *
## Residuals 11 225.04 20.458
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10329.11
## Q : 1979030
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.91 53.910 3.5781 0.08515 .
## Residuals 11 165.73 15.067
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 25628.92
## Q : 3989101
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 164.66 164.659 11.569 0.005915 **
## Residuals 11 156.56 14.233
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10282.24
## Q : 2368744
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 44.633 44.633 23.703 0.0004959 ***
## Residuals 11 20.714 1.883
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16585.53
## Q : 2734977
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 100.58 100.578 7.8481 0.01723 *
## Residuals 11 140.97 12.816
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 1308.502
## Q : 2436692
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.703 0.7027 0.0299 0.8659
## Residuals 11 258.615 23.5104## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15739.57
## Q : 2812586
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 88.081 88.081 6.7488 0.02479 *
## Residuals 11 143.565 13.051
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11568.28
## Q : 3198093
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 41.845 41.845 16.353 0.001936 **
## Residuals 11 28.148 2.559
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7353.017
## Q : 2346513
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 23.041 23.041 0.9685 0.3462
## Residuals 11 261.701 23.791## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12737.96
## Q : 2188432
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 74.142 74.142 6.4172 0.02781 *
## Residuals 11 127.091 11.554
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15647.18
## Q : 2269062
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 107.90 107.901 11.153 0.006597 **
## Residuals 11 106.42 9.674
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3035.541
## Q : 2043381
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.509 4.5094 0.2802 0.6071
## Residuals 11 177.044 16.0949## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 1364.51
## Q : 2967871
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.627 0.6273 0.0306 0.8644
## Residuals 11 225.769 20.5245## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9449.126
## Q : 2767021
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 32.268 32.268 3.391 0.09266 .
## Residuals 11 104.675 9.516
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13973.4
## Q : 2294545
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 85.096 85.096 5.8869 0.03363 *
## Residuals 11 159.005 14.455
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19092.46
## Q : 3384841
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 107.69 107.693 10.948 0.006968 **
## Residuals 11 108.20 9.836
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6038.547
## Q : 1971771
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 18.493 18.4930 1.8666 0.1991
## Residuals 11 108.979 9.9072## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 26149.84
## Q : 2943814
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 232.29 232.288 21.004 0.0007865 ***
## Residuals 11 121.65 11.059
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12066.26
## Q : 3014518
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.298 48.298 4.9345 0.04825 *
## Residuals 11 107.665 9.788
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11645.14
## Q : 2590225
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 52.354 52.354 24.247 0.0004539 ***
## Residuals 11 23.751 2.159
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 1327.095
## Q : 3350014
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.526 0.5257 0.0202 0.8894
## Residuals 11 285.741 25.9765## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9797.438
## Q : 2346579
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.906 40.906 3.4811 0.08895 .
## Residuals 11 129.262 11.751
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9978.713
## Q : 2162535
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 46.045 46.045 4.5332 0.05667 .
## Residuals 11 111.731 10.157
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11245.97
## Q : 2570532
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.201 49.201 5.9875 0.03242 *
## Residuals 11 90.390 8.217
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11731.52
## Q : 2692038
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.124 51.124 2.277 0.1595
## Residuals 11 246.978 22.453## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19652.21
## Q : 2832922
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 136.33 136.329 10.02 0.008991 **
## Residuals 11 149.66 13.606
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15440.25
## Q : 2812810
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 84.756 84.756 13.275 0.003864 **
## Residuals 11 70.230 6.385
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14857.98
## Q : 3142651
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.246 70.246 10.074 0.008857 **
## Residuals 11 76.705 6.973
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9787.48
## Q : 1662533
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 57.62 57.620 9.7932 0.009588 **
## Residuals 11 64.72 5.884
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10340.73
## Q : 2599093
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 41.142 41.142 6.9608 0.02306 *
## Residuals 11 65.015 5.910
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6373.019
## Q : 3091030
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13.140 13.1398 2.1254 0.1728
## Residuals 11 68.004 6.1822## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13530.13
## Q : 3495405
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 52.373 52.373 6.6031 0.02607 *
## Residuals 11 87.247 7.932
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6600.567
## Q : 2392699
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 18.209 18.209 1.8056 0.2061
## Residuals 11 110.931 10.085## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8905.152
## Q : 1801312
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 44.024 44.024 4.2419 0.06391 .
## Residuals 11 114.163 10.378
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17720.5
## Q : 2866500
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 109.55 109.547 4.6146 0.05482 .
## Residuals 11 261.13 23.739
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15304.85
## Q : 3234552
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 72.418 72.418 4.952 0.04792 *
## Residuals 11 160.864 14.624
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16214.49
## Q : 4369483
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 60.170 60.170 16.823 0.001755 **
## Residuals 11 39.342 3.577
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15138.21
## Q : 3306567
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 69.306 69.306 3.0766 0.1072
## Residuals 11 247.797 22.527## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13200.12
## Q : 2677248
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 65.083 65.083 4.0066 0.0706 .
## Residuals 11 178.684 16.244
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11303.91
## Q : 2656292
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.104 48.104 12.016 0.005273 **
## Residuals 11 44.035 4.003
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6416.828
## Q : 2783913
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14.79 14.791 0.4434 0.5192
## Residuals 11 366.90 33.355## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6913.282
## Q : 2214702
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.58 21.580 2.0241 0.1826
## Residuals 11 117.28 10.661## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19792.73
## Q : 2657225
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 147.43 147.429 6.7468 0.02481 *
## Residuals 11 240.37 21.852
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 30745.63
## Q : 4130422
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 228.86 228.861 13.993 0.003262 **
## Residuals 11 179.90 16.355
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7695.663
## Q : 3728777
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.883 15.8827 1.9815 0.1869
## Residuals 11 88.171 8.0155## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8638.329
## Q : 2434495
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.651 30.651 1.3343 0.2725
## Residuals 11 252.690 22.972## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17218.77
## Q : 2987802
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 99.232 99.232 6.9697 0.02299 *
## Residuals 11 156.613 14.238
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13666.82
## Q : 2932000
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 63.705 63.705 5.1906 0.04367 *
## Residuals 11 135.005 12.273
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7212.548
## Q : 2525191
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 20.601 20.601 1.7013 0.2188
## Residuals 11 133.201 12.109## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : -3317.719
## Q : 2779374
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3.96 3.9603 0.188 0.673
## Residuals 11 231.71 21.0643## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11278.3
## Q : 2276641
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 55.872 55.872 4.9359 0.04822 *
## Residuals 11 124.514 11.319
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10063.36
## Q : 2850294
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 35.530 35.530 4.1319 0.06694 .
## Residuals 11 94.589 8.599
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14397.93
## Q : 2573682
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 80.546 80.546 12.689 0.004456 **
## Residuals 11 69.827 6.348
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20370.45
## Q : 2270208
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 182.78 182.783 5.9883 0.03241 *
## Residuals 11 335.76 30.523
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11243.8
## Q : 3110183
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.648 40.648 3.693 0.08092 .
## Residuals 11 121.074 11.007
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7303.762
## Q : 2236287
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 23.854 23.854 2.1388 0.1716
## Residuals 11 122.687 11.153## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12118.54
## Q : 2605978
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 56.355 56.355 8.5651 0.01377 *
## Residuals 11 72.375 6.580
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9975.83
## Q : 2361716
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 42.138 42.138 1.8999 0.1955
## Residuals 11 243.973 22.179## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13082.78
## Q : 3305151
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.786 51.786 3.583 0.08497 .
## Residuals 11 158.984 14.453
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 2397.509
## Q : 2864706
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2.007 2.0065 0.0785 0.7846
## Residuals 11 281.296 25.5724## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11966.45
## Q : 2567903
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 55.764 55.764 3.0838 0.1068
## Residuals 11 198.913 18.083## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7753.072
## Q : 2052478
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 29.287 29.287 2.3823 0.151
## Residuals 11 135.229 12.293## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17092.18
## Q : 2630214
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 111.07 111.072 10.281 0.00836 **
## Residuals 11 118.84 10.804
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12266.64
## Q : 3060060
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.172 49.172 2.2128 0.165
## Residuals 11 244.445 22.222## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15122.33
## Q : 2958223
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 77.305 77.305 20.161 0.0009161 ***
## Residuals 11 42.179 3.834
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11289.34
## Q : 2385771
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.421 53.421 3.5937 0.08456 .
## Residuals 11 163.515 14.865
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4196.327
## Q : 2578856
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6.83 6.828 0.1854 0.6751
## Residuals 11 405.04 36.822## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11701.68
## Q : 2118491
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 64.635 64.635 4.5138 0.05712 .
## Residuals 11 157.516 14.320
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5210.139
## Q : 2142323
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12.671 12.6711 2.1736 0.1684
## Residuals 11 64.124 5.8295## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19704.43
## Q : 3255426
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 119.267 119.267 16.834 0.001751 **
## Residuals 11 77.936 7.085
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11126.63
## Q : 3032638
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.823 40.823 3.5283 0.08708 .
## Residuals 11 127.274 11.570
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9071.231
## Q : 2392111
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 34.399 34.399 5.2908 0.04202 *
## Residuals 11 71.520 6.502
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14842.98
## Q : 2215155
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 99.458 99.458 8.7516 0.01301 *
## Residuals 11 125.010 11.365
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19071.74
## Q : 3583751
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 101.50 101.495 9.546 0.01029 *
## Residuals 11 116.95 10.632
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14876.38
## Q : 2877802
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.901 76.901 13.747 0.003455 **
## Residuals 11 61.536 5.594
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8322.571
## Q : 2800352
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.734 24.735 1.4374 0.2558
## Residuals 11 189.287 17.208## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5140.927
## Q : 2597925
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10.173 10.173 0.7438 0.4069
## Residuals 11 150.449 13.677## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9878.462
## Q : 2225212
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 43.854 43.854 1.8225 0.2041
## Residuals 11 264.682 24.062## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9957.876
## Q : 3754374
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 26.412 26.412 1.0712 0.3229
## Residuals 11 271.216 24.656## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14933.88
## Q : 3840798
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 58.066 58.066 4.0611 0.06898 .
## Residuals 11 157.279 14.298
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7424.538
## Q : 2286071
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.113 24.113 1.5006 0.2462
## Residuals 11 176.753 16.068## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20610.86
## Q : 2766407
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 153.56 153.559 9.2433 0.01124 *
## Residuals 11 182.74 16.613
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 419.7229
## Q : 3234096
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.054 0.0545 0.004 0.9508
## Residuals 11 150.528 13.6844## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7111.738
## Q : 2754903
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 18.359 18.359 1.3929 0.2628
## Residuals 11 144.982 13.180## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14182.26
## Q : 2974738
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 67.615 67.615 8.9327 0.01232 *
## Residuals 11 83.263 7.569
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 24446.71
## Q : 2702304
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 221.16 221.160 10.943 0.006979 **
## Residuals 11 222.32 20.211
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14214.15
## Q : 2652772
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.163 76.163 10.021 0.00899 **
## Residuals 11 83.607 7.601
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12587.2
## Q : 2478299
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 63.93 63.930 3.4647 0.08961 .
## Residuals 11 202.97 18.452
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11486.32
## Q : 3251263
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.580 40.580 23.473 0.0005149 ***
## Residuals 11 19.016 1.729
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19130.13
## Q : 2708948
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 135.09 135.094 5.2386 0.04287 *
## Residuals 11 283.67 25.788
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8251.336
## Q : 2874893
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 23.682 23.683 2.3498 0.1535
## Residuals 11 110.865 10.079## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17230.84
## Q : 2347862
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 126.46 126.46 6.542 0.02663 *
## Residuals 11 212.63 19.33
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10076.79
## Q : 2176573
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 46.652 46.652 2.6382 0.1326
## Residuals 11 194.517 17.683## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7537.085
## Q : 3515982
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 16.16 16.157 0.5474 0.4749
## Residuals 11 324.66 29.515## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11628.41
## Q : 2259123
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 59.855 59.855 11.596 0.005873 **
## Residuals 11 56.777 5.162
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12148.49
## Q : 3474218
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 42.480 42.480 7.7309 0.01789 *
## Residuals 11 60.444 5.495
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16096.72
## Q : 2519561
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 102.84 102.837 8.2407 0.01522 *
## Residuals 11 137.27 12.479
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10497.09
## Q : 1922370
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 57.319 57.319 12.973 0.004156 **
## Residuals 11 48.601 4.418
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13353.05
## Q : 3532479
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.476 50.476 3.1759 0.1023
## Residuals 11 174.827 15.893## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15988.59
## Q : 2939907
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 86.953 86.953 17.289 0.001595 **
## Residuals 11 55.324 5.029
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12001
## Q : 3172734
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.394 45.394 5.7088 0.0359 *
## Residuals 11 87.467 7.952
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11292.44
## Q : 3242947
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 39.322 39.322 2.5439 0.139
## Residuals 11 170.030 15.457## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18019.38
## Q : 3163219
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 102.648 102.65 17.427 0.001551 **
## Residuals 11 64.794 5.89
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17677.56
## Q : 3764480
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 83.012 83.012 12.194 0.005041 **
## Residuals 11 74.883 6.808
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12535.93
## Q : 1835066
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 85.637 85.637 8.4846 0.01412 *
## Residuals 11 111.025 10.093
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20000.87
## Q : 3732240
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 107.184 107.184 13.734 0.003465 **
## Residuals 11 85.844 7.804
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5797.465
## Q : 2499229
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13.448 13.448 0.8351 0.3804
## Residuals 11 177.140 16.104## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12261.65
## Q : 3158302
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 47.604 47.604 3.7578 0.07864 .
## Residuals 11 139.348 12.668
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10982.43
## Q : 2399982
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.256 50.256 5.4883 0.03899 *
## Residuals 11 100.726 9.157
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12113.3
## Q : 2755709
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.247 53.247 40.447 5.372e-05 ***
## Residuals 11 14.481 1.316
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10180.42
## Q : 2141307
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.401 48.401 3.975 0.07157 .
## Residuals 11 133.939 12.176
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5813.027
## Q : 2202539
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.342 15.3420 2.1772 0.1681
## Residuals 11 77.511 7.0465## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 32487.26
## Q : 3099417
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 340.52 340.52 8.5571 0.01381 *
## Residuals 11 437.73 39.79
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16604.26
## Q : 3129011
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 88.111 88.111 12.997 0.004132 **
## Residuals 11 74.572 6.779
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9950.92
## Q : 3198214
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.961 30.9613 4.381 0.06032 .
## Residuals 11 77.739 7.0672
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7217.135
## Q : 2297830
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 22.668 22.6679 3.3831 0.09299 .
## Residuals 11 73.705 6.7004
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15878.26
## Q : 2715700
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 92.838 92.838 6.6258 0.02586 *
## Residuals 11 154.127 14.012
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6999.999
## Q : 3601425
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13.606 13.606 0.5295 0.482
## Residuals 11 282.666 25.697## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19725.52
## Q : 2307203
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 168.64 168.644 13.91 0.003326 **
## Residuals 11 133.37 12.124
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6297.308
## Q : 2689915
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14.743 14.742 1.0154 0.3353
## Residuals 11 159.709 14.519## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3913.385
## Q : 2719517
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5.631 5.6314 0.2575 0.6219
## Residuals 11 240.558 21.8690## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11620.61
## Q : 4032892
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 33.484 33.484 1.799 0.2069
## Residuals 11 204.740 18.613## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16575.6
## Q : 2307767
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 119.06 119.055 8.5718 0.01375 *
## Residuals 11 152.78 13.889
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10026.53
## Q : 2880581
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 34.90 34.900 2.3947 0.15
## Residuals 11 160.31 14.574## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6510.939
## Q : 2670256
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.876 15.876 1.6727 0.2224
## Residuals 11 104.401 9.491## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18971.39
## Q : 3384304
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 106.348 106.35 14.123 0.003165 **
## Residuals 11 82.833 7.53
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12910.33
## Q : 2947936
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 56.540 56.540 24.519 0.0004345 ***
## Residuals 11 25.366 2.306
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10411.72
## Q : 2015154
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.794 53.794 3.946 0.07246 .
## Residuals 11 149.958 13.633
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3532.915
## Q : 2097186
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5.952 5.9515 0.268 0.6149
## Residuals 11 244.298 22.2089## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4828.37
## Q : 2594359
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8.986 8.9861 0.6286 0.4446
## Residuals 11 157.241 14.2946## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10336.11
## Q : 3662267
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 29.172 29.172 2.3077 0.1569
## Residuals 11 139.051 12.641## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13909.73
## Q : 2837107
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 68.196 68.196 6.3793 0.02819 *
## Residuals 11 117.593 10.690
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8991.631
## Q : 1722344
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 46.942 46.942 1.78 0.2091
## Residuals 11 290.091 26.372## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11126.7
## Q : 2799459
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 44.224 44.224 7.3402 0.02032 *
## Residuals 11 66.274 6.025
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20505.89
## Q : 3448668
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 121.93 121.929 12.364 0.00483 **
## Residuals 11 108.48 9.862
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13465.27
## Q : 2766467
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 65.54 65.540 6.7518 0.02476 *
## Residuals 11 106.78 9.707
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12225.25
## Q : 2335640
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 63.990 63.990 9.6138 0.01009 *
## Residuals 11 73.216 6.656
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15605.01
## Q : 3471026
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.157 70.157 13.209 0.003927 **
## Residuals 11 58.426 5.311
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20532.03
## Q : 2773676
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 151.99 151.988 6.6447 0.02569 *
## Residuals 11 251.61 22.873
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12667.36
## Q : 2525484
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 63.537 63.537 18.994 0.00114 **
## Residuals 11 36.796 3.345
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11171.4
## Q : 3566559
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 34.992 34.992 5.9275 0.03314 *
## Residuals 11 64.937 5.903
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17227.81
## Q : 2588651
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 114.653 114.653 14.392 0.002976 **
## Residuals 11 87.631 7.966
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11955.16
## Q : 2294680
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.286 62.286 6.0437 0.03177 *
## Residuals 11 113.365 10.306
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17134.46
## Q : 2991164
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 98.152 98.152 11.85 0.005502 **
## Residuals 11 91.114 8.283
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6263.918
## Q : 2948558
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13.307 13.307 0.6221 0.4469
## Residuals 11 235.285 21.390## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13547.49
## Q : 3231194
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 56.801 56.801 18.458 0.001264 **
## Residuals 11 33.850 3.077
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17547.04
## Q : 3459983
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 88.989 88.989 14.149 0.003146 **
## Residuals 11 69.183 6.289
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3404.059
## Q : 2412259
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.80 4.804 0.1181 0.7376
## Residuals 11 447.54 40.686## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18651.48
## Q : 2802154
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 124.146 124.15 28.74 0.0002299 ***
## Residuals 11 47.516 4.32
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11548.06
## Q : 3404403
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 39.172 39.172 1.5275 0.2422
## Residuals 11 282.094 25.645## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7953.116
## Q : 3290406
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 19.223 19.2232 2.0482 0.1802
## Residuals 11 103.240 9.3855## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16963.33
## Q : 3764992
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.429 76.429 7.3865 0.02001 *
## Residuals 11 113.819 10.347
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8746.612
## Q : 3964911
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 19.295 19.295 1.7749 0.2097
## Residuals 11 119.583 10.871## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14031.6
## Q : 2187804
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 89.992 89.992 8.185 0.01549 *
## Residuals 11 120.942 10.995
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6790.492
## Q : 2124737
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.702 21.702 1.4559 0.2529
## Residuals 11 163.962 14.906## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9937.754
## Q : 2362542
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 41.802 41.802 3.6655 0.0819 .
## Residuals 11 125.444 11.404
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12058.19
## Q : 2111126
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 68.873 68.873 7.8247 0.01736 *
## Residuals 11 96.822 8.802
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 2819.824
## Q : 3489150
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2.279 2.2789 0.121 0.7345
## Residuals 11 207.089 18.8263## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14146.41
## Q : 1828370
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 109.45 109.453 4.4473 0.05869 .
## Residuals 11 270.73 24.611
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8103.192
## Q : 2940648
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 22.329 22.329 1.4991 0.2464
## Residuals 11 163.841 14.895## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10508.41
## Q : 2880107
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 38.341 38.341 1.8464 0.2014
## Residuals 11 228.414 20.765## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4978.608
## Q : 3015560
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8.22 8.2195 0.3262 0.5794
## Residuals 11 277.20 25.1999## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14840.08
## Q : 2596808
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 84.807 84.807 9.3408 0.01092 *
## Residuals 11 99.872 9.079
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11228.44
## Q : 2702500
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 46.652 46.652 2.8684 0.1184
## Residuals 11 178.905 16.264## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8450.572
## Q : 2061886
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 34.634 34.634 7.2693 0.0208 *
## Residuals 11 52.409 4.764
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20651.58
## Q : 2856116
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 149.32 149.324 4.5702 0.05582 .
## Residuals 11 359.41 32.673
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13132.6
## Q : 2164738
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 79.67 79.670 1.68 0.2215
## Residuals 11 521.66 47.424## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 24526.64
## Q : 3174455
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 189.50 189.499 10.68 0.007491 **
## Residuals 11 195.17 17.743
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17883.2
## Q : 2439165
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 131.11 131.114 12.025 0.005261 **
## Residuals 11 119.94 10.904
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6513.653
## Q : 3371191
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12.585 12.5854 1.6885 0.2204
## Residuals 11 81.989 7.4536## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20157.04
## Q : 2732407
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 148.70 148.699 14.609 0.002832 **
## Residuals 11 111.96 10.178
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16769.88
## Q : 3250953
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 86.507 86.507 7.0095 0.02269 *
## Residuals 11 135.754 12.341
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 21246.95
## Q : 2679986
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 168.45 168.446 7.07 0.02223 *
## Residuals 11 262.08 23.825
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12825.81
## Q : 2594588
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 63.402 63.402 9.1276 0.01163 *
## Residuals 11 76.408 6.946
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9805.236
## Q : 2657005
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 36.185 36.185 2.927 0.1151
## Residuals 11 135.985 12.362## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8734.752
## Q : 2671523
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 28.559 28.559 1.8178 0.2047
## Residuals 11 172.814 15.710## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9135.432
## Q : 2992030
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 27.893 27.893 2.303 0.1573
## Residuals 11 133.228 12.112## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6537.876
## Q : 2226111
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 19.201 19.2011 2.5858 0.1361
## Residuals 11 81.681 7.4256## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7817.264
## Q : 2363767
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 25.853 25.853 2.8288 0.1207
## Residuals 11 100.529 9.139## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12255.81
## Q : 2939552
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.098 51.098 2.1661 0.1691
## Residuals 11 259.487 23.590## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8254.683
## Q : 1557218
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 43.757 43.757 6.9149 0.02342 *
## Residuals 11 69.608 6.328
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16959.57
## Q : 2651041
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 108.50 108.496 8.432 0.01435 *
## Residuals 11 141.54 12.867
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13797.8
## Q : 2502351
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.08 76.080 6.498 0.02704 *
## Residuals 11 128.79 11.708
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4489.064
## Q : 2515300
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8.012 8.0116 0.3656 0.5577
## Residuals 11 241.025 21.9114## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8184.739
## Q : 1846520
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 36.279 36.279 6.8338 0.02408 *
## Residuals 11 58.396 5.309
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11401.28
## Q : 3015833
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 43.102 43.102 3.048 0.1087
## Residuals 11 155.554 14.141## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9064.111
## Q : 2070048
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 39.689 39.689 2.0968 0.1755
## Residuals 11 208.213 18.928## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6620.621
## Q : 1954350
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 22.428 22.428 1.5549 0.2383
## Residuals 11 158.664 14.424## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16079.36
## Q : 3167507
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 81.624 81.624 6.0215 0.03202 *
## Residuals 11 149.109 13.555
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10836.74
## Q : 2193167
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.546 53.546 4.1932 0.06523 .
## Residuals 11 140.465 12.770
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 22920.91
## Q : 3221277
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 163.09 163.093 10.367 0.008162 **
## Residuals 11 173.05 15.732
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6367.056
## Q : 2759438
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14.691 14.691 0.8957 0.3643
## Residuals 11 180.416 16.401## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9050.901
## Q : 3443632
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 23.788 23.7885 2.8087 0.1219
## Residuals 11 93.165 8.4695## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7859.499
## Q : 2385173
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 25.898 25.8982 6.667 0.0255 *
## Residuals 11 42.730 3.8845
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17755.94
## Q : 2593807
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 121.548 121.548 15.613 0.002267 **
## Residuals 11 85.634 7.785
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7409.793
## Q : 2424771
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 22.643 22.6434 2.8488 0.1196
## Residuals 11 87.433 7.9484## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15999.79
## Q : 2902545
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 88.196 88.196 3.3667 0.09369 .
## Residuals 11 288.165 26.197
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16582.24
## Q : 3703736
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 74.241 74.241 10.396 0.008097 **
## Residuals 11 78.553 7.141
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7068.036
## Q : 2486028
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 20.095 20.095 0.8836 0.3674
## Residuals 11 250.178 22.744## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14677.94
## Q : 2797568
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 77.01 77.010 6.8284 0.02412 *
## Residuals 11 124.06 11.278
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10698.81
## Q : 2307231
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.611 49.611 12.767 0.004371 **
## Residuals 11 42.744 3.886
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11598.62
## Q : 3093013
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 43.494 43.494 6.1591 0.03048 *
## Residuals 11 77.680 7.062
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12355.26
## Q : 2515046
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 60.696 60.696 3.7811 0.07784 .
## Residuals 11 176.578 16.053
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17013.97
## Q : 3731022
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 77.586 77.586 31.793 0.0001514 ***
## Residuals 11 26.844 2.440
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16620.98
## Q : 3346245
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 82.557 82.557 5.8996 0.03347 *
## Residuals 11 153.931 13.994
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13256.4
## Q : 2332738
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 75.333 75.333 3.6256 0.08337 .
## Residuals 11 228.557 20.778
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14853.87
## Q : 2395704
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 92.097 92.097 5.4955 0.03888 *
## Residuals 11 184.346 16.759
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11920.2
## Q : 2577929
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 55.118 55.118 2.4765 0.1439
## Residuals 11 244.826 22.257## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19797.18
## Q : 3573707
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 109.670 109.670 13.535 0.003632 **
## Residuals 11 89.127 8.102
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7499.794
## Q : 2350771
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 23.93 23.927 0.7502 0.4049
## Residuals 11 350.82 31.893## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11295.61
## Q : 2221450
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 57.436 57.436 13.898 0.003335 **
## Residuals 11 45.459 4.133
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15395.05
## Q : 2838956
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 83.484 83.484 8.6061 0.0136 *
## Residuals 11 106.706 9.701
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4077.885
## Q : 2409025
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6.903 6.9029 0.3621 0.5595
## Residuals 11 209.680 19.0619## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12238.2
## Q : 2811028
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.281 53.281 6.9954 0.02279 *
## Residuals 11 83.781 7.616
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17222.85
## Q : 2754322
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 107.69 107.695 11.536 0.005966 **
## Residuals 11 102.69 9.336
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14817.44
## Q : 2510895
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 87.442 87.442 10.005 0.00903 **
## Residuals 11 96.142 8.740
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8761.171
## Q : 2908384
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 26.392 26.392 2.1261 0.1728
## Residuals 11 136.546 12.413## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12217.6
## Q : 2096177
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 71.211 71.211 13.511 0.003653 **
## Residuals 11 57.977 5.271
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10674.57
## Q : 2256103
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.506 50.506 2.5932 0.1356
## Residuals 11 214.237 19.476## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10747.79
## Q : 2605420
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 44.336 44.336 4.0277 0.06997 .
## Residuals 11 121.087 11.008
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12348.28
## Q : 3133158
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.667 48.667 18.152 0.001342 **
## Residuals 11 29.492 2.681
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15732.17
## Q : 2689106
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 92.038 92.038 8.5713 0.01375 *
## Residuals 11 118.118 10.738
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 22871.13
## Q : 2790292
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 187.47 187.467 9.5336 0.01033 *
## Residuals 11 216.30 19.664
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7687.815
## Q : 2451666
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.107 24.107 0.8472 0.3771
## Residuals 11 312.990 28.454## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14611.35
## Q : 3330691
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 64.098 64.098 4.9522 0.04791 *
## Residuals 11 142.377 12.943
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20926.73
## Q : 3925015
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 111.57 111.574 10.957 0.006952 **
## Residuals 11 112.01 10.183
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15083.83
## Q : 2956192
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.965 76.965 20.156 0.0009169 ***
## Residuals 11 42.003 3.818
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12969.26
## Q : 3445972
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.811 48.811 7.4463 0.01962 *
## Residuals 11 72.106 6.555
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15441.62
## Q : 3119913
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.426 76.426 6.9225 0.02336 *
## Residuals 11 121.442 11.040
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10325.01
## Q : 2010214
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.03 53.032 1.2275 0.2915
## Residuals 11 475.26 43.205## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13377.93
## Q : 2250613
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 79.52 79.520 16.32 0.001949 **
## Residuals 11 53.60 4.873
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12087.59
## Q : 2389865
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 61.137 61.137 4.3292 0.06163 .
## Residuals 11 155.344 14.122
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9031.03
## Q : 2819074
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 28.931 28.9313 4.3748 0.06047 .
## Residuals 11 72.744 6.6131
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18523.51
## Q : 2716339
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 126.32 126.32 9.5118 0.01039 *
## Residuals 11 146.08 13.28
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14134.17
## Q : 2579549
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 77.446 77.446 7.1882 0.02137 *
## Residuals 11 118.514 10.774
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16251.75
## Q : 2968747
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 88.967 88.967 8.9692 0.01219 *
## Residuals 11 109.110 9.919
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7680.258
## Q : 2838871
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 20.78 20.778 0.7029 0.4197
## Residuals 11 325.18 29.562## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5715.632
## Q : 3618165
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9.029 9.029 1.2336 0.2904
## Residuals 11 80.509 7.319## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12528.81
## Q : 3051614
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.439 51.439 4.1602 0.06614 .
## Residuals 11 136.010 12.365
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 1125.66
## Q : 2571466
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.493 0.4928 0.0306 0.8642
## Residuals 11 176.851 16.0773## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5004.083
## Q : 2339632
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10.703 10.703 2.0888 0.1763
## Residuals 11 56.364 5.124## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10459
## Q : 2153016
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.808 50.808 5.5635 0.0379 *
## Residuals 11 100.457 9.132
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14498.36
## Q : 2606938
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 80.632 80.632 4.2622 0.06337 .
## Residuals 11 208.095 18.918
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12596.71
## Q : 2234099
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 71.025 71.025 20.439 0.0008706 ***
## Residuals 11 38.224 3.475
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14883.42
## Q : 2832022
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 78.218 78.218 4.7329 0.05227 .
## Residuals 11 181.793 16.527
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13438.25
## Q : 2674383
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 67.525 67.525 8.363 0.01466 *
## Residuals 11 88.816 8.074
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12603.47
## Q : 2820754
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 56.314 56.314 3.179 0.1022
## Residuals 11 194.857 17.714## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11642.92
## Q : 2734205
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.578 49.578 22.236 0.0006341 ***
## Residuals 11 24.526 2.230
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10650.12
## Q : 2275823
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.839 49.839 6.4106 0.02788 *
## Residuals 11 85.519 7.774
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10102.67
## Q : 2691457
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.92 37.921 1.2515 0.2871
## Residuals 11 333.30 30.300## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17928.04
## Q : 2423813
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 132.61 132.607 16.293 0.00196 **
## Residuals 11 89.53 8.139
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17028.37
## Q : 2857185
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 101.49 101.486 7.5672 0.01886 *
## Residuals 11 147.53 13.411
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17369.01
## Q : 2572165
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 117.29 117.287 5.8875 0.03362 *
## Residuals 11 219.14 19.922
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12040.57
## Q : 2818878
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.43 51.430 4.7135 0.05268 .
## Residuals 11 120.02 10.911
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6947.674
## Q : 2235920
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.589 21.5885 2.4211 0.148
## Residuals 11 98.086 8.9169## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 1294.349
## Q : 2740991
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.611 0.6112 0.0256 0.8757
## Residuals 11 262.310 23.8464## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7904.613
## Q : 2217220
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 28.181 28.1807 3.4028 0.09216 .
## Residuals 11 91.097 8.2816
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10248.16
## Q : 2171366
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.368 48.368 7.0988 0.02201 *
## Residuals 11 74.949 6.814
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13935.21
## Q : 1803647
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 107.665 107.665 12.498 0.004672 **
## Residuals 11 94.762 8.615
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 22195.22
## Q : 3494200
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 140.98 140.984 14.666 0.002796 **
## Residuals 11 105.74 9.613
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14751.99
## Q : 2586293
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 84.144 84.144 4.567 0.05589 .
## Residuals 11 202.669 18.424
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17486.78
## Q : 3072710
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 99.517 99.517 9.153 0.01154 *
## Residuals 11 119.599 10.873
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14163.29
## Q : 2751552
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 72.904 72.904 12.127 0.005127 **
## Residuals 11 66.129 6.012
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12093.63
## Q : 2912708
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.213 50.213 21.529 0.0007167 ***
## Residuals 11 25.656 2.332
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11547.83
## Q : 2759616
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.323 48.323 3.2174 0.1004
## Residuals 11 165.210 15.019## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15538.63
## Q : 2333700
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 103.462 103.462 17.235 0.001612 **
## Residuals 11 66.033 6.003
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12102.31
## Q : 2627282
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 55.748 55.748 3.5449 0.08643 .
## Residuals 11 172.988 15.726
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11160.9
## Q : 2745292
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.374 45.374 2.577 0.1367
## Residuals 11 193.683 17.608## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9370.12
## Q : 3128125
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 28.068 28.068 1.906 0.1948
## Residuals 11 161.989 14.726## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11631.51
## Q : 3533254
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 38.291 38.291 3.2333 0.09963 .
## Residuals 11 130.271 11.843
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : -899.4608
## Q : 2487365
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.325 0.3253 0.0125 0.9131
## Residuals 11 287.175 26.1069## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9046.68
## Q : 3036352
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 26.954 26.9542 4.1736 0.06577 .
## Residuals 11 71.040 6.4582
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9335.952
## Q : 2838975
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.701 30.7012 3.6365 0.08297 .
## Residuals 11 92.867 8.4424
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : -55.51111
## Q : 2517627
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.00 0.0012 0 0.995
## Residuals 11 333.75 30.3412## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10885.42
## Q : 3016505
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 39.281 39.281 3.418 0.09152 .
## Residuals 11 126.418 11.493
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6316.862
## Q : 2448147
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 16.30 16.299 0.5179 0.4867
## Residuals 11 346.17 31.470## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12178.11
## Q : 2656442
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 55.829 55.829 6.0469 0.03173 *
## Residuals 11 101.559 9.233
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4408.291
## Q : 2366728
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8.211 8.2109 0.4386 0.5214
## Residuals 11 205.931 18.7210## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10919.25
## Q : 2190622
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 54.427 54.427 7.4676 0.01948 *
## Residuals 11 80.174 7.289
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6484.699
## Q : 2728964
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.409 15.4093 1.7273 0.2155
## Residuals 11 98.129 8.9208## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8752.989
## Q : 2794591
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 27.415 27.4154 6.0185 0.03206 *
## Residuals 11 50.107 4.5552
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8763.174
## Q : 3069881
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 25.015 25.0151 3.661 0.08207 .
## Residuals 11 75.160 6.8328
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3301.71
## Q : 3423259
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3.184 3.1845 0.1381 0.7172
## Residuals 11 253.585 23.0531## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7570.917
## Q : 2540845
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 22.559 22.559 1.2206 0.2928
## Residuals 11 203.303 18.482## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12510.44
## Q : 3036734
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.539 51.539 4.5019 0.05739 .
## Residuals 11 125.932 11.448
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12866.24
## Q : 2335277
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.887 70.887 8.248 0.01519 *
## Residuals 11 94.538 8.594
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13476.98
## Q : 1726738
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 105.19 105.186 2.9166 0.1157
## Residuals 11 396.71 36.064## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7205.624
## Q : 2042929
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 25.415 25.415 1.4672 0.2512
## Residuals 11 190.547 17.322## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20091.25
## Q : 3548535
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 113.75 113.754 6.7881 0.02446 *
## Residuals 11 184.34 16.758
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19201.35
## Q : 4126884
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 89.339 89.339 5.2082 0.04337 *
## Residuals 11 188.689 17.154
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3274.388
## Q : 2924870
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3.666 3.6657 0.3402 0.5715
## Residuals 11 118.523 10.7748## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14465.61
## Q : 3158906
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 66.243 66.243 4.2532 0.06361 .
## Residuals 11 171.322 15.575
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7259.554
## Q : 3477341
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.156 15.156 0.542 0.477
## Residuals 11 307.574 27.961## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15057.11
## Q : 2305248
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 98.348 98.348 10.553 0.007755 **
## Residuals 11 102.511 9.319
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12062.76
## Q : 2568265
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 56.657 56.657 4.3598 0.06085 .
## Residuals 11 142.949 12.995
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8151.846
## Q : 2833293
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 23.454 23.4542 9.1852 0.01143 *
## Residuals 11 28.088 2.5535
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14116.45
## Q : 2600929
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.617 76.617 4.9133 0.04865 *
## Residuals 11 171.530 15.594
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20485.2
## Q : 2853851
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 147.04 147.045 5.7503 0.03536 *
## Residuals 11 281.29 25.572
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7754.68
## Q : 2503695
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.019 24.0185 3.1551 0.1033
## Residuals 11 83.740 7.6127## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15350.41
## Q : 2720539
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 86.613 86.613 11.897 0.005436 **
## Residuals 11 80.086 7.281
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3121.206
## Q : 2991156
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3.257 3.2569 0.1352 0.7201
## Residuals 11 264.986 24.0897## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11049.82
## Q : 2424295
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.365 50.365 2.225 0.1639
## Residuals 11 248.992 22.636## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12895.35
## Q : 2351544
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.72 70.715 2.2034 0.1658
## Residuals 11 353.03 32.094## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8095.665
## Q : 3218684
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 20.362 20.3623 2.115 0.1738
## Residuals 11 105.904 9.6276## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9063.239
## Q : 2779558
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 29.552 29.5523 3.0932 0.1064
## Residuals 11 105.093 9.5539## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 24170.23
## Q : 3180519
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 183.68 183.681 15.524 0.002312 **
## Residuals 11 130.15 11.832
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10816.82
## Q : 3253698
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 35.960 35.960 6.4748 0.02726 *
## Residuals 11 61.093 5.554
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13226.13
## Q : 2414333
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 72.455 72.455 12.419 0.004764 **
## Residuals 11 64.175 5.834
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12728.6
## Q : 2619099
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 61.86 61.860 3.7816 0.07783 .
## Residuals 11 179.94 16.358
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18467.33
## Q : 2602499
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 131.044 131.044 25.283 0.000385 ***
## Residuals 11 57.014 5.183
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11801.5
## Q : 3621371
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 38.459 38.459 4.3381 0.0614 .
## Residuals 11 97.520 8.865
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16815.05
## Q : 3071947
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 92.041 92.041 6.1046 0.03108 *
## Residuals 11 165.851 15.077
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7967.481
## Q : 2424069
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 26.188 26.188 1.4907 0.2476
## Residuals 11 193.235 17.567## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6611.32
## Q : 3577551
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12.218 12.2177 1.4782 0.2495
## Residuals 11 90.920 8.2654## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11846.02
## Q : 2661883
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 52.718 52.718 8.5896 0.01367 *
## Residuals 11 67.511 6.137
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10127.96
## Q : 2782633
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 36.863 36.863 1.9355 0.1917
## Residuals 11 209.502 19.046## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15475.59
## Q : 2708688
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 88.417 88.417 11.151 0.006601 **
## Residuals 11 87.217 7.929
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12437.4
## Q : 2512284
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 61.573 61.573 3.3075 0.09627 .
## Residuals 11 204.776 18.616
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10340.78
## Q : 3101305
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 34.480 34.480 4.8469 0.04995 *
## Residuals 11 78.251 7.114
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13436.6
## Q : 3036437
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 59.459 59.459 21.866 0.0006758 ***
## Residuals 11 29.912 2.719
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18555.2
## Q : 2334344
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 147.49 147.491 10.284 0.008352 **
## Residuals 11 157.76 14.342
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9966.161
## Q : 2458900
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.394 40.394 5.42 0.04 *
## Residuals 11 81.979 7.453
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10304.38
## Q : 3281587
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 32.356 32.356 2.8632 0.1187
## Residuals 11 124.309 11.301## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9908.732
## Q : 2628644
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.351 37.351 3.457 0.08992 .
## Residuals 11 118.848 10.804
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12956.37
## Q : 2244857
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 74.779 74.779 13.128 0.004004 **
## Residuals 11 62.657 5.696
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12190.46
## Q : 2757959
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.883 53.883 2.0968 0.1755
## Residuals 11 282.675 25.698## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20001.2
## Q : 3263897
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 122.57 122.568 12.482 0.00469 **
## Residuals 11 108.01 9.819
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16125.51
## Q : 3569263
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 72.853 72.853 12.938 0.004192 **
## Residuals 11 61.938 5.631
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10376.52
## Q : 2883729
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.338 37.338 4.1572 0.06623 .
## Residuals 11 98.797 8.982
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20687.95
## Q : 2847855
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 150.28 150.285 13.811 0.003404 **
## Residuals 11 119.70 10.882
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13694.91
## Q : 2972865
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 63.088 63.088 2.7553 0.1251
## Residuals 11 251.864 22.897## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 21899.85
## Q : 3694771
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 129.81 129.806 4.7238 0.05246 .
## Residuals 11 302.27 27.479
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11297.59
## Q : 2360178
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 54.079 54.079 6.8318 0.0241 *
## Residuals 11 87.074 7.916
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8948.424
## Q : 3184738
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 25.143 25.143 1.26 0.2856
## Residuals 11 219.510 19.956## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15184.98
## Q : 2517181
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 91.604 91.604 18.42 0.001273 **
## Residuals 11 54.704 4.973
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16121.95
## Q : 2265353
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 114.74 114.736 4.2112 0.06474 .
## Residuals 11 299.70 27.245
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14581.68
## Q : 3072815
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 69.196 69.196 16.784 0.001769 **
## Residuals 11 45.350 4.123
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13596.8
## Q : 4181639
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 44.211 44.211 2.2477 0.162
## Residuals 11 216.365 19.670## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18082.94
## Q : 3325806
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 98.320 98.320 12.002 0.005293 **
## Residuals 11 90.114 8.192
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9357.626
## Q : 3072083
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 28.504 28.503 2.5166 0.141
## Residuals 11 124.590 11.326## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15243.66
## Q : 3020247
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.937 76.937 3.0105 0.1106
## Residuals 11 281.116 25.556## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15167.93
## Q : 2303187
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 99.89 99.89 5.1122 0.04501 *
## Residuals 11 214.94 19.54
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9940.573
## Q : 2452046
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.299 40.299 6.385 0.02813 *
## Residuals 11 69.426 6.311
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 25175.37
## Q : 2989697
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 211.99 211.994 9.799 0.009572 **
## Residuals 11 237.98 21.634
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13047.46
## Q : 2559186
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 66.52 66.520 4.1801 0.06559 .
## Residuals 11 175.05 15.913
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9736.85
## Q : 3453026
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 27.456 27.4560 3.4777 0.08908 .
## Residuals 11 86.844 7.8949
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10989.45
## Q : 2734061
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 44.172 44.172 2.6148 0.1342
## Residuals 11 185.824 16.893## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7034.602
## Q : 2546380
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 19.434 19.4337 5.8262 0.03439 *
## Residuals 11 36.691 3.3356
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4903.877
## Q : 2467341
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9.747 9.7465 0.5584 0.4706
## Residuals 11 192.007 17.4552## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8415.246
## Q : 3354537
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.111 21.1106 4.9554 0.04785 *
## Residuals 11 46.861 4.2601
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10767.96
## Q : 3099973
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.403 37.403 3.5003 0.08818 .
## Residuals 11 117.542 10.686
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12400.48
## Q : 1971171
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 78.01 78.01 6.8014 0.02435 *
## Residuals 11 126.17 11.47
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12684.5
## Q : 3017916
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.31 53.314 1.5948 0.2328
## Residuals 11 367.73 33.430## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15806.7
## Q : 3728920
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 67.004 67.004 4.6245 0.0546 .
## Residuals 11 159.376 14.489
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13803.52
## Q : 2722330
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 69.99 69.990 7.1081 0.02195 *
## Residuals 11 108.31 9.847
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18225
## Q : 3110649
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 106.779 106.779 21.78 0.0006859 ***
## Residuals 11 53.928 4.903
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11337.82
## Q : 2640378
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.685 48.685 2.9476 0.114
## Residuals 11 181.682 16.517## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 24638.61
## Q : 3050705
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 198.99 198.990 12.17 0.005071 **
## Residuals 11 179.86 16.351
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20700.38
## Q : 2412785
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 177.60 177.598 8.8383 0.01268 *
## Residuals 11 221.04 20.094
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13512.26
## Q : 3547790
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.463 51.463 6.9664 0.02302 *
## Residuals 11 81.261 7.387
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16099.05
## Q : 2808775
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 92.275 92.275 16.826 0.001753 **
## Residuals 11 60.323 5.484
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11750.52
## Q : 3240071
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 42.615 42.615 5.6979 0.03605 *
## Residuals 11 82.270 7.479
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14268.29
## Q : 2886951
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.519 70.519 3.0575 0.1082
## Residuals 11 253.707 23.064## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13000.78
## Q : 3872491
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 43.646 43.646 3.7034 0.08055 .
## Residuals 11 129.641 11.786
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14768.73
## Q : 2734464
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 79.765 79.765 7.6348 0.01845 *
## Residuals 11 114.923 10.448
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7761.298
## Q : 2148988
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 28.031 28.0308 4.2422 0.0639 .
## Residuals 11 72.684 6.6076
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10217.19
## Q : 3095229
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 33.726 33.726 4.56 0.05605 .
## Residuals 11 81.357 7.396
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5899.634
## Q : 2480109
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14.034 14.034 0.9342 0.3546
## Residuals 11 165.255 15.023## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8522.144
## Q : 2202794
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 32.97 32.970 5.9425 0.03296 *
## Residuals 11 61.03 5.548
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16874.68
## Q : 2358850
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 120.72 120.718 3.9876 0.07118 .
## Residuals 11 333.01 30.274
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12418.37
## Q : 3045265
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.641 50.641 25.483 0.0003732 ***
## Residuals 11 21.860 1.987
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17597.15
## Q : 2108224
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 146.88 146.882 6.9206 0.02338 *
## Residuals 11 233.46 21.224
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12131.06
## Q : 2884684
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.015 51.015 4.7633 0.05164 .
## Residuals 11 117.810 10.710
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 22656.38
## Q : 2874812
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 178.56 178.555 6.9041 0.02351 *
## Residuals 11 284.49 25.862
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 22360.55
## Q : 3070915
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 162.82 162.816 13.024 0.004106 **
## Residuals 11 137.52 12.502
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12912.01
## Q : 2447616
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 68.115 68.115 11.312 0.006327 **
## Residuals 11 66.240 6.022
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10208.38
## Q : 2743507
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.985 37.985 2.8553 0.1192
## Residuals 11 146.334 13.303## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15274.47
## Q : 2600691
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 89.711 89.711 4.3793 0.06036 .
## Residuals 11 225.338 20.485
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5614.853
## Q : 2323441
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13.569 13.569 0.5708 0.4658
## Residuals 11 261.486 23.771## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12749.14
## Q : 2563595
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 63.403 63.403 7.746 0.0178 *
## Residuals 11 90.038 8.185
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18700.95
## Q : 3502155
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 99.86 99.86 3.9008 0.07389 .
## Residuals 11 281.60 25.60
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3096.588
## Q : 2994761
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3.202 3.2019 0.2804 0.607
## Residuals 11 125.619 11.4199## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 24488.28
## Q : 3555496
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 168.66 168.662 5.615 0.03718 *
## Residuals 11 330.42 30.038
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12598.99
## Q : 2770817
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 57.288 57.288 19.27 0.001081 **
## Residuals 11 32.702 2.973
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13199.97
## Q : 3002386
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 58.034 58.034 3.3842 0.09294 .
## Residuals 11 188.631 17.148
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10635.08
## Q : 3032648
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.296 37.296 4.9764 0.04746 *
## Residuals 11 82.440 7.495
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10614.88
## Q : 2786802
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.432 40.432 9.7122 0.009812 **
## Residuals 11 45.793 4.163
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8908.132
## Q : 3279632
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.196 24.196 1.9215 0.1931
## Residuals 11 138.514 12.592## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12404.08
## Q : 1883977
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 81.668 81.668 6.6212 0.0259 *
## Residuals 11 135.679 12.334
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9567.112
## Q : 2603770
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 35.153 35.153 12.75 0.004389 **
## Residuals 11 30.328 2.757
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8703.898
## Q : 2362550
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 32.07 32.066 0.845 0.3777
## Residuals 11 417.43 37.948## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14226.18
## Q : 3129389
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 64.672 64.672 7.1599 0.02157 *
## Residuals 11 99.359 9.033
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15475.21
## Q : 2907177
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 82.376 82.376 10.059 0.008895 **
## Residuals 11 90.087 8.190
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11017.15
## Q : 2558869
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 47.434 47.434 4.9637 0.0477 *
## Residuals 11 105.119 9.556
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14959.4
## Q : 2650861
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 84.419 84.419 15.026 0.00258 **
## Residuals 11 61.802 5.618
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 2496.013
## Q : 3215256
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1.938 1.9377 0.1451 0.7105
## Residuals 11 146.898 13.3544## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9279.862
## Q : 2596445
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 33.167 33.167 3.0901 0.1065
## Residuals 11 118.066 10.733## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10402.74
## Q : 2152790
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.268 50.268 11.214 0.006492 **
## Residuals 11 49.308 4.483
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14237.18
## Q : 2608818
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 77.697 77.697 12.738 0.004403 **
## Residuals 11 67.098 6.100
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10217.68
## Q : 2153561
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.478 48.478 6.1683 0.03038 *
## Residuals 11 86.452 7.859
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9817.18
## Q : 3266349
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 29.506 29.506 2.7477 0.1256
## Residuals 11 118.123 10.739## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10164.2
## Q : 2623947
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 39.372 39.372 5.5412 0.03822 *
## Residuals 11 78.159 7.105
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13175.3
## Q : 2157731
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 80.45 80.450 3.7277 0.07969 .
## Residuals 11 237.40 21.582
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19267.57
## Q : 3073649
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 120.78 120.781 7.101 0.022 *
## Residuals 11 187.10 17.009
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11165.02
## Q : 3005027
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 41.483 41.483 3.0083 0.1107
## Residuals 11 151.687 13.790## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14101.13
## Q : 3248788
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 61.205 61.205 12.956 0.004174 **
## Residuals 11 51.965 4.724
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15265.41
## Q : 2189908
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 106.41 106.41 6.144 0.03064 *
## Residuals 11 190.52 17.32
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : -4320.669
## Q : 2960648
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6.305 6.3054 0.38 0.5502
## Residuals 11 182.537 16.5943## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11959.07
## Q : 3087738
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 46.319 46.319 3.3176 0.09582 .
## Residuals 11 153.576 13.961
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13259.15
## Q : 2777618
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 63.293 63.293 4.947 0.04801 *
## Residuals 11 140.739 12.794
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10370.26
## Q : 1918672
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 56.05 56.05 3.8549 0.07538 .
## Residuals 11 159.94 14.54
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9359.193
## Q : 2531469
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 34.602 34.602 10.4 0.008088 **
## Residuals 11 36.599 3.327
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19458.88
## Q : 3198897
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 118.368 118.368 18.742 0.001196 **
## Residuals 11 69.472 6.316
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10226.73
## Q : 2099229
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.82 49.821 1.5854 0.2341
## Residuals 11 345.68 31.426## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6182.391
## Q : 2430472
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.726 15.7261 3.3219 0.09564 .
## Residuals 11 52.076 4.7342
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20166.82
## Q : 3637096
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 111.82 111.820 3.8115 0.07681 .
## Residuals 11 322.71 29.337
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13495.35
## Q : 2528244
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 72.036 72.036 13.773 0.003434 **
## Residuals 11 57.533 5.230
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17489.36
## Q : 2647733
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 115.52 115.524 8.1118 0.01585 *
## Residuals 11 156.66 14.242
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4793.675
## Q : 2447484
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9.389 9.389 0.5191 0.4863
## Residuals 11 198.956 18.087## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15432.18
## Q : 3582175
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 66.483 66.483 4.3698 0.0606 .
## Residuals 11 167.355 15.214
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18854.54
## Q : 3009119
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 118.139 118.139 14.399 0.002971 **
## Residuals 11 90.248 8.204
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12719.64
## Q : 2935419
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 55.116 55.116 9.1922 0.01141 *
## Residuals 11 65.956 5.996
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3582.915
## Q : 2472003
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5.193 5.1931 0.371 0.5548
## Residuals 11 153.987 13.9988## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8106.773
## Q : 2313231
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 28.41 28.4104 3.0376 0.1092
## Residuals 11 102.88 9.3529## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8125.153
## Q : 2811831
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 23.479 23.4787 6.1352 0.03074 *
## Residuals 11 42.096 3.8269
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11603.66
## Q : 3682139
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 36.567 36.567 3.6122 0.08387 .
## Residuals 11 111.355 10.123
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15965.61
## Q : 2539235
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 100.385 100.39 22.31 0.000626 ***
## Residuals 11 49.495 4.50
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5220.403
## Q : 3806984
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7.16 7.1586 0.2431 0.6317
## Residuals 11 323.95 29.4496## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12011.92
## Q : 2056744
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.153 70.153 10.968 0.006932 **
## Residuals 11 70.359 6.396
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8037.485
## Q : 2987088
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.627 21.6268 2.8234 0.121
## Residuals 11 84.259 7.6599## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12815.85
## Q : 3605961
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.548 45.548 2.492 0.1427
## Residuals 11 201.055 18.278## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3620.892
## Q : 2657095
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.934 4.9343 0.2045 0.6599
## Residuals 11 265.376 24.1251## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10450.42
## Q : 3040050
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 35.924 35.924 2.4938 0.1426
## Residuals 11 158.456 14.405## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10516
## Q : 2577756
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 42.900 42.900 11.959 0.005351 **
## Residuals 11 39.462 3.587
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7485.214
## Q : 2623025
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.36 21.360 1.1703 0.3025
## Residuals 11 200.77 18.252## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13862.94
## Q : 3162425
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 60.77 60.770 34.617 0.0001056 ***
## Residuals 11 19.31 1.755
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3628.515
## Q : 3801036
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3.464 3.4638 0.2548 0.6237
## Residuals 11 149.548 13.5953## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9088.742
## Q : 2993133
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 27.598 27.5982 6.5279 0.02676 *
## Residuals 11 46.505 4.2277
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9663.16
## Q : 1751901
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.30 53.300 5.5326 0.03834 *
## Residuals 11 105.97 9.634
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12314.35
## Q : 2522849
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 60.108 60.108 7.5357 0.01906 *
## Residuals 11 87.741 7.976
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6691.19
## Q : 3523740
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12.706 12.706 1.1851 0.2996
## Residuals 11 117.933 10.721## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6985.206
## Q : 4587279
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10.637 10.637 0.589 0.459
## Residuals 11 198.659 18.060## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5282.446
## Q : 3123645
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8.933 8.9332 0.6013 0.4544
## Residuals 11 163.415 14.8559## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5076.244
## Q : 3548502
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7.262 7.2617 0.4471 0.5175
## Residuals 11 178.648 16.2407## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4088.752
## Q : 3549458
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.71 4.710 0.1007 0.7569
## Residuals 11 514.27 46.751## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8698.532
## Q : 2521092
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.013 30.0126 6.2101 0.02993 *
## Residuals 11 53.161 4.8328
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12683.34
## Q : 2270343
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.856 70.856 9.6267 0.01006 *
## Residuals 11 80.963 7.360
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5304.347
## Q : 2715238
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10.362 10.362 0.5556 0.4717
## Residuals 11 205.170 18.652## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15830.25
## Q : 3571386
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.168 70.168 15.541 0.002303 **
## Residuals 11 49.666 4.515
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9834.459
## Q : 2187810
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 44.207 44.207 1.9015 0.1953
## Residuals 11 255.740 23.249## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8435.604
## Q : 2264196
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 31.428 31.4281 4.0151 0.07035 .
## Residuals 11 86.101 7.8274
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10399.66
## Q : 2644182
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.902 40.902 1.44 0.2553
## Residuals 11 312.440 28.404## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10932.12
## Q : 3338559
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 35.797 35.797 1.6837 0.221
## Residuals 11 233.872 21.261## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9336.054
## Q : 2147701
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.584 40.584 4.8584 0.04972 *
## Residuals 11 91.886 8.353
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7208.958
## Q : 2112767
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.598 24.598 1.1038 0.316
## Residuals 11 245.126 22.284## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3495.575
## Q : 2608514
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.684 4.6843 0.2119 0.6543
## Residuals 11 243.209 22.1099## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15018.58
## Q : 2786642
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 80.943 80.943 15.174 0.002496 **
## Residuals 11 58.677 5.334
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19686.84
## Q : 2562096
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 151.27 151.271 5.6418 0.03681 *
## Residuals 11 294.94 26.813
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9182.605
## Q : 2392030
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 35.25 35.250 3.7121 0.08024 .
## Residuals 11 104.46 9.496
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18963.2
## Q : 2328905
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 154.41 154.409 7.3477 0.02027 *
## Residuals 11 231.16 21.014
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14751.4
## Q : 2532632
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 85.92 85.920 2.5913 0.1357
## Residuals 11 364.72 33.157## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17013.46
## Q : 3216112
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 90.002 90.002 11.212 0.006496 **
## Residuals 11 88.300 8.027
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12935.36
## Q : 2519825
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 66.403 66.403 3.1262 0.1047
## Residuals 11 233.651 21.241## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16314.39
## Q : 2908303
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 91.517 91.517 17.292 0.001594 **
## Residuals 11 58.218 5.293
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12537.21
## Q : 3274144
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.007 48.007 3.33 0.09528 .
## Residuals 11 158.581 14.416
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9645.598
## Q : 2452735
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.932 37.932 4.9296 0.04834 *
## Residuals 11 84.642 7.695
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9475.815
## Q : 2310106
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 38.869 38.869 5.4146 0.04009 *
## Residuals 11 78.964 7.179
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8670.22
## Q : 3308277
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 22.723 22.7226 3.0243 0.1099
## Residuals 11 82.646 7.5132## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11672.44
## Q : 2622681
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.949 51.949 6.1979 0.03006 *
## Residuals 11 92.200 8.382
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11447.89
## Q : 2872102
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.63 45.63 93.131 1.054e-06 ***
## Residuals 11 5.39 0.49
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11166.98
## Q : 2533378
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.223 49.223 1.8054 0.2061
## Residuals 11 299.904 27.264## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5256.137
## Q : 1903870
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14.511 14.511 1.4099 0.2601
## Residuals 11 113.216 10.292## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9513.378
## Q : 2204447
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 41.055 41.055 2.8429 0.1199
## Residuals 11 158.857 14.442## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 2604.043
## Q : 2361070
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2.872 2.872 0.1947 0.6676
## Residuals 11 162.282 14.753## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10274.86
## Q : 3022512
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 34.929 34.929 1.9159 0.1937
## Residuals 11 200.543 18.231## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14625.54
## Q : 3002066
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 71.253 71.253 5.4315 0.03983 *
## Residuals 11 144.304 13.119
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17090.88
## Q : 3109926
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 93.924 93.924 6.0748 0.03141 *
## Residuals 11 170.075 15.461
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12522.24
## Q : 2570021
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 61.014 61.014 14.499 0.002904 **
## Residuals 11 46.289 4.208
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15372.55
## Q : 3832064
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 61.668 61.668 5.221 0.04316 *
## Residuals 11 129.928 11.812
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11791.31
## Q : 2056879
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 67.595 67.595 2.4413 0.1465
## Residuals 11 304.564 27.688## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8227.046
## Q : 2277029
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 29.725 29.725 2.2274 0.1637
## Residuals 11 146.798 13.345## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10028.08
## Q : 2393149
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 42.021 42.021 10.35 0.0082 **
## Residuals 11 44.659 4.060
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10807.66
## Q : 2421865
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.23 48.230 9.9368 0.009205 **
## Residuals 11 53.39 4.854
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17995.06
## Q : 2597376
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 124.67 124.673 4.9421 0.0481 *
## Residuals 11 277.49 25.227
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15192.54
## Q : 4466612
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.675 51.675 4.1919 0.06526 .
## Residuals 11 135.600 12.327
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9498.58
## Q : 3105454
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 29.053 29.053 2.441 0.1465
## Residuals 11 130.923 11.902## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11141.95
## Q : 3517060
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 35.297 35.297 9.826 0.009499 **
## Residuals 11 39.515 3.592
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11815.81
## Q : 1997586
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 69.891 69.891 6.973 0.02297 *
## Residuals 11 110.254 10.023
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10217.8
## Q : 2743110
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 38.06 38.060 3.4545 0.09002 .
## Residuals 11 121.19 11.018
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17404.97
## Q : 3319576
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 91.257 91.257 14.445 0.00294 **
## Residuals 11 69.491 6.317
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6089.247
## Q : 2317825
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.997 15.997 1.1471 0.3071
## Residuals 11 153.402 13.946## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7624.062
## Q : 2414475
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.074 24.074 2.2111 0.1651
## Residuals 11 119.767 10.888## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11271.25
## Q : 3204308
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 39.647 39.647 5.057 0.04599 *
## Residuals 11 86.240 7.840
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 22144.49
## Q : 3171415
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 154.62 154.624 7.0513 0.02237 *
## Residuals 11 241.21 21.928
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15106.12
## Q : 2331882
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 97.859 97.859 23.116 0.0005463 ***
## Residuals 11 46.566 4.233
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15745.87
## Q : 3245551
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.391 76.391 7.4758 0.01943 *
## Residuals 11 112.403 10.218
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13753.24
## Q : 1991491
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 94.980 94.980 12.417 0.004766 **
## Residuals 11 84.139 7.649
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 103.8731
## Q : 3677718
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.00 0.003 1e-04 0.9927
## Residuals 11 369.49 33.590## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16476.66
## Q : 3123753
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 86.908 86.908 7.2605 0.02086 *
## Residuals 11 131.670 11.970
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13588.34
## Q : 2329903
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 79.249 79.249 3.9981 0.07086 .
## Residuals 11 218.040 19.822
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13562.57
## Q : 2735942
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 67.232 67.232 4.2968 0.06246 .
## Residuals 11 172.117 15.647
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11673.93
## Q : 2727128
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.972 49.972 18.516 0.00125 **
## Residuals 11 29.688 2.699
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13661.2
## Q : 2418024
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 77.182 77.182 15.176 0.002495 **
## Residuals 11 55.943 5.086
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16239.98
## Q : 2761879
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 95.492 95.492 9.6489 0.009992 **
## Residuals 11 108.863 9.897
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5809.229
## Q : 2776142
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12.156 12.156 0.9106 0.3605
## Residuals 11 146.853 13.350## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10907.63
## Q : 2709161
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 43.916 43.916 6.1064 0.03106 *
## Residuals 11 79.110 7.192
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 28434.35
## Q : 3208328
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 252.00 252.00 23.205 0.0005384 ***
## Residuals 11 119.46 10.86
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10905.63
## Q : 3161350
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.621 37.621 6.2884 0.02911 *
## Residuals 11 65.809 5.983
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9638.859
## Q : 2306753
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.276 40.276 5.0723 0.04572 *
## Residuals 11 87.346 7.941
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12042.8
## Q : 2321510
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.472 62.472 6.1642 0.03042 *
## Residuals 11 111.482 10.135
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6387.606
## Q : 2132016
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 19.138 19.137 1.7893 0.208
## Residuals 11 117.651 10.696## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15719.6
## Q : 3010727
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 82.075 82.075 4.5974 0.05521 .
## Residuals 11 196.379 17.853
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15016.71
## Q : 3065953
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 73.550 73.550 8.7313 0.01309 *
## Residuals 11 92.661 8.424
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13027.37
## Q : 1774982
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 95.614 95.614 3.9746 0.07158 .
## Residuals 11 264.617 24.056
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 22489.96
## Q : 2838684
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 178.18 178.18 15.294 0.002431 **
## Residuals 11 128.15 11.65
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11686.51
## Q : 2600175
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 52.525 52.525 4.1124 0.06749 .
## Residuals 11 140.497 12.772
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5178.758
## Q : 2087982
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12.845 12.845 1.0214 0.3339
## Residuals 11 138.333 12.576## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7273.865
## Q : 4093951
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12.924 12.924 1.1604 0.3044
## Residuals 11 122.514 11.138## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12313.48
## Q : 2927016
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.801 51.801 6.8503 0.02394 *
## Residuals 11 83.180 7.562
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11491.36
## Q : 2353381
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 56.111 56.111 35.455 9.531e-05 ***
## Residuals 11 17.409 1.583
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12304.69
## Q : 2820412
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.682 53.682 23.593 0.0005048 ***
## Residuals 11 25.028 2.275
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6329.72
## Q : 3740271
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10.712 10.7119 2.4607 0.145
## Residuals 11 47.886 4.3533## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11481.07
## Q : 2129408
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 61.902 61.902 6.2572 0.02943 *
## Residuals 11 108.822 9.893
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10936.91
## Q : 2295681
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 52.105 52.105 4.5698 0.05583 .
## Residuals 11 125.421 11.402
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15668.57
## Q : 2697959
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 90.996 90.996 11.94 0.005376 **
## Residuals 11 83.831 7.621
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11134.46
## Q : 3513860
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 35.282 35.282 2.856 0.1191
## Residuals 11 135.890 12.354## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14797.68
## Q : 2988175
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 73.279 73.279 15.21 0.002477 **
## Residuals 11 52.996 4.818
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16959.34
## Q : 4160534
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 69.130 69.130 8.7552 0.013 *
## Residuals 11 86.855 7.896
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14254.01
## Q : 2967890
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 68.46 68.458 1.7054 0.2182
## Residuals 11 441.57 40.142## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4890.425
## Q : 1846160
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12.95 12.955 0.3639 0.5586
## Residuals 11 391.64 35.603## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 23885.09
## Q : 3965926
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 143.850 143.850 19.08 0.001121 **
## Residuals 11 82.934 7.539
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20813.98
## Q : 2407347
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 179.96 179.958 16.162 0.002015 **
## Residuals 11 122.48 11.135
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9690.787
## Q : 2586253
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 36.312 36.312 10.464 0.007946 **
## Residuals 11 38.170 3.470
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7235.935
## Q : 2063851
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 25.369 25.3694 9.0826 0.01179 *
## Residuals 11 30.725 2.7932
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9616.783
## Q : 1996722
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 46.317 46.317 9.1134 0.01168 *
## Residuals 11 55.906 5.082
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4970.566
## Q : 2524958
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9.785 9.7849 0.6246 0.4461
## Residuals 11 172.331 15.6665## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17219.6
## Q : 3447269
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 86.014 86.014 9.1481 0.01156 *
## Residuals 11 103.427 9.402
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14937.04
## Q : 2941320
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 75.855 75.855 4.6084 0.05496 .
## Residuals 11 181.061 16.460
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14851.51
## Q : 3059090
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 72.102 72.102 5.5154 0.03859 *
## Residuals 11 143.801 13.073
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15657.33
## Q : 3128797
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 78.353 78.353 6.9041 0.02351 *
## Residuals 11 124.837 11.349
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10302.69
## Q : 2499598
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 42.465 42.465 1.8954 0.196
## Residuals 11 246.452 22.405## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14837.58
## Q : 3284748
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 67.023 67.023 5.4837 0.03905 *
## Residuals 11 134.445 12.222
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17375.77
## Q : 3156360
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 95.654 95.654 6.4754 0.02725 *
## Residuals 11 162.490 14.772
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5092.208
## Q : 3805201
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6.815 6.8145 0.6544 0.4357
## Residuals 11 114.555 10.4141## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11015.09
## Q : 2614006
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 46.416 46.416 5.609 0.03726 *
## Residuals 11 91.028 8.275
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12886.93
## Q : 2357091
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.46 70.457 2.3422 0.1541
## Residuals 11 330.90 30.082## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12065.82
## Q : 3416021
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 42.618 42.618 3.4114 0.0918 .
## Residuals 11 137.419 12.493
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12080.42
## Q : 2947574
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.511 49.511 9.9948 0.009055 **
## Residuals 11 54.490 4.954
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14238.36
## Q : 2606898
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 77.767 77.767 3.787 0.07764 .
## Residuals 11 225.887 20.535
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9880.368
## Q : 3072019
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 31.78 31.778 1.0702 0.3231
## Residuals 11 326.62 29.692## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7912.994
## Q : 2018235
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 31.025 31.025 2.0061 0.1844
## Residuals 11 170.118 15.465## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8463.864
## Q : 2047665
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 34.985 34.985 6.3001 0.02899 *
## Residuals 11 61.083 5.553
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9008.671
## Q : 2665937
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.442 30.442 2.6169 0.134
## Residuals 11 127.962 11.633## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6614.757
## Q : 2861312
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.292 15.292 1.4888 0.2479
## Residuals 11 112.981 10.271## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15182.81
## Q : 2400056
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 96.047 96.047 4.986 0.04728 *
## Residuals 11 211.896 19.263
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 21735.02
## Q : 3222428
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 146.601 146.601 24.208 0.0004568 ***
## Residuals 11 66.615 6.056
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17913.64
## Q : 2628439
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 122.09 122.09 5.3925 0.04042 *
## Residuals 11 249.04 22.64
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8084.343
## Q : 2665648
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.52 24.518 0.8487 0.3767
## Residuals 11 317.78 28.889## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5397.602
## Q : 2438979
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11.945 11.945 1.1108 0.3145
## Residuals 11 118.295 10.754## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20843.14
## Q : 3483160
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 124.72 124.725 7.3313 0.02038 *
## Residuals 11 187.14 17.013
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3562.136
## Q : 2662913
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.765 4.7650 0.6171 0.4487
## Residuals 11 84.934 7.7213## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11163.68
## Q : 3275673
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 38.046 38.046 6.2522 0.02948 *
## Residuals 11 66.938 6.085
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8784.517
## Q : 2765356
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 27.905 27.905 1.3229 0.2745
## Residuals 11 232.029 21.093## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10084
## Q : 2828921
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 35.946 35.946 5.0896 0.04541 *
## Residuals 11 77.688 7.063
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17139.92
## Q : 3591571
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 81.796 81.796 8.439 0.01432 *
## Residuals 11 106.619 9.693
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14837.6
## Q : 3381266
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 65.11 65.110 5.4904 0.03895 *
## Residuals 11 130.45 11.859
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7258.785
## Q : 2496785
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.103 21.103 1.9868 0.1863
## Residuals 11 116.839 10.622## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9090.999
## Q : 3015487
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 27.407 27.407 1.4507 0.2537
## Residuals 11 207.815 18.892## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8633.493
## Q : 2848874
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 26.164 26.1637 5.2407 0.04283 *
## Residuals 11 54.917 4.9924
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9482.493
## Q : 2787418
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 32.258 32.258 7.9086 0.0169 *
## Residuals 11 44.868 4.079
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11161.16
## Q : 2060691
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 60.451 60.451 5.8183 0.03448 *
## Residuals 11 114.288 10.390
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12330.09
## Q : 2196803
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 69.206 69.206 9.8294 0.009489 **
## Residuals 11 77.447 7.041
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7430.453
## Q : 1764005
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 31.299 31.299 2.3468 0.1538
## Residuals 11 146.707 13.337## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15621.72
## Q : 2275684
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 107.24 107.237 4.0395 0.06962 .
## Residuals 11 292.02 26.547
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13144.82
## Q : 3246722
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.219 53.219 22.474 0.0006088 ***
## Residuals 11 26.048 2.368
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19876.53
## Q : 2912149
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 135.665 135.665 21.328 0.0007424 ***
## Residuals 11 69.968 6.361
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12019.93
## Q : 2403114
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 60.121 60.121 22.907 0.0005658 ***
## Residuals 11 28.870 2.625
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11893.72
## Q : 2491468
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 56.778 56.778 6.0419 0.03179 *
## Residuals 11 103.371 9.397
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15251.32
## Q : 3231506
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 71.98 71.980 5.3962 0.04037 *
## Residuals 11 146.73 13.339
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5308.647
## Q : 2145921
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13.133 13.133 1.0449 0.3286
## Residuals 11 138.252 12.568## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14641.56
## Q : 3034695
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.641 70.641 8.1397 0.01571 *
## Residuals 11 95.465 8.679
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11138.64
## Q : 2485911
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.909 49.909 9.6527 0.009981 **
## Residuals 11 56.875 5.170
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10112.67
## Q : 2749441
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.195 37.195 2.3864 0.1507
## Residuals 11 171.453 15.587## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15743.02
## Q : 2739157
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 90.481 90.481 9.3368 0.01094 *
## Residuals 11 106.599 9.691
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8292.507
## Q : 3186324
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.582 21.581 1.3596 0.2683
## Residuals 11 174.609 15.873## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10944.79
## Q : 2144677
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 55.854 55.854 9.9456 0.009182 **
## Residuals 11 61.775 5.616
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4990.133
## Q : 2887098
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8.625 8.6251 0.539 0.4782
## Residuals 11 176.035 16.0031## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12340.98
## Q : 2940011
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.802 51.802 4.6074 0.05498 .
## Residuals 11 123.676 11.243
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8633.948
## Q : 3022850
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.661 24.660 1.0874 0.3194
## Residuals 11 249.468 22.679## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13021.92
## Q : 2728027
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.159 62.159 8.0339 0.01624 *
## Residuals 11 85.108 7.737
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17467.63
## Q : 2753199
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 110.82 110.823 10.737 0.007376 **
## Residuals 11 113.53 10.321
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14591.97
## Q : 3413911
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.37 62.370 6.6298 0.02583 *
## Residuals 11 103.48 9.408
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15336.69
## Q : 2367772
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 99.34 99.340 6.088 0.03127 *
## Residuals 11 179.49 16.317
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9175.124
## Q : 2645853
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 31.817 31.817 2.3917 0.1503
## Residuals 11 146.336 13.303## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13445.2
## Q : 3528013
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.239 51.239 7.9534 0.01666 *
## Residuals 11 70.867 6.442
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9352.108
## Q : 2533505
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 34.522 34.522 1.7734 0.2099
## Residuals 11 214.135 19.467## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7074.309
## Q : 2512558
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 19.918 19.9183 2.1902 0.167
## Residuals 11 100.037 9.0943## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17157.26
## Q : 3963026
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 74.280 74.28 28.568 0.0002356 ***
## Residuals 11 28.601 2.60
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14741.83
## Q : 3090309
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.324 70.324 9.4394 0.01062 *
## Residuals 11 81.950 7.450
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15851.61
## Q : 3077442
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 81.650 81.650 14.173 0.003129 **
## Residuals 11 63.369 5.761
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 23664.99
## Q : 3417163
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 163.888 163.888 19.221 0.001091 **
## Residuals 11 93.791 8.526
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14095.12
## Q : 3538449
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 56.147 56.147 6.4704 0.0273 *
## Residuals 11 95.452 8.677
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13746.57
## Q : 3332785
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 56.700 56.700 17.569 0.001507 **
## Residuals 11 35.499 3.227
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19236.99
## Q : 3242020
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 114.14 114.145 7.1334 0.02176 *
## Residuals 11 176.02 16.001
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10218.56
## Q : 3460550
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.174 30.174 2.5821 0.1364
## Residuals 11 128.546 11.686## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20396.9
## Q : 3110516
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 133.75 133.751 9.5347 0.01033 *
## Residuals 11 154.31 14.028
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14280.86
## Q : 3065229
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 66.534 66.534 30.978 0.0001687 ***
## Residuals 11 23.625 2.148
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16455.02
## Q : 2376082
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 113.96 113.96 5.5239 0.03847 *
## Residuals 11 226.93 20.63
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8400.085
## Q : 2237591
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 31.535 31.535 2.4185 0.1482
## Residuals 11 143.426 13.039## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20746.15
## Q : 3216650
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 133.81 133.805 13.293 0.003848 **
## Residuals 11 110.72 10.066
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6873.94
## Q : 1664392
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 28.39 28.389 0.9227 0.3574
## Residuals 11 338.45 30.769## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9479.087
## Q : 2865122
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 31.361 31.3610 5.1289 0.04472 *
## Residuals 11 67.260 6.1145
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8785.822
## Q : 3020661
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 25.554 25.554 1.4469 0.2543
## Residuals 11 194.274 17.661## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18655.32
## Q : 3091430
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 112.576 112.576 17.834 0.001429 **
## Residuals 11 69.438 6.313
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3640.879
## Q : 2382113
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5.565 5.5648 0.557 0.4711
## Residuals 11 109.902 9.9911## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 23723.82
## Q : 2755676
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 204.24 204.240 8.9732 0.01218 *
## Residuals 11 250.37 22.761
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7023.376
## Q : 2035813
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.23 24.230 2.3786 0.1513
## Residuals 11 112.05 10.187## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16781.06
## Q : 3487001
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 80.758 80.758 20.514 0.000859 ***
## Residuals 11 43.305 3.937
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16552.22
## Q : 2918676
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 93.87 93.870 4.6101 0.05492 .
## Residuals 11 223.98 20.362
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19273.99
## Q : 2879296
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 129.02 129.020 13.509 0.003655 **
## Residuals 11 105.06 9.551
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9710.388
## Q : 3617993
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 26.062 26.062 2.301 0.1575
## Residuals 11 124.591 11.326## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12707.39
## Q : 1947335
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 82.922 82.922 5.326 0.04146 *
## Residuals 11 171.264 15.569
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6785.039
## Q : 4172967
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11.032 11.032 0.6059 0.4528
## Residuals 11 200.293 18.209## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15792.01
## Q : 2653334
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 93.99 93.990 7.0898 0.02208 *
## Residuals 11 145.83 13.257
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11536.35
## Q : 3177154
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 41.889 41.889 5.7394 0.0355 *
## Residuals 11 80.283 7.298
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12312.77
## Q : 3686460
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 41.125 41.125 2.6694 0.1306
## Residuals 11 169.466 15.406## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5603.416
## Q : 2707013
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11.599 11.5989 1.2183 0.2933
## Residuals 11 104.728 9.5207## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 25109.99
## Q : 2999313
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 210.22 210.219 9.0438 0.01192 *
## Residuals 11 255.69 23.245
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7335.896
## Q : 2603232
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 20.673 20.672 1.8252 0.2038
## Residuals 11 124.588 11.326## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19448.38
## Q : 2640381
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 143.25 143.252 10.989 0.006893 **
## Residuals 11 143.40 13.037
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8284.683
## Q : 2691136
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 25.504 25.505 1.3859 0.2639
## Residuals 11 202.432 18.403## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10830.31
## Q : 3081693
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 38.062 38.062 7.2193 0.02115 *
## Residuals 11 57.995 5.272
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 23363.5
## Q : 3835580
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 142.31 142.313 11.326 0.006303 **
## Residuals 11 138.22 12.565
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7520.751
## Q : 2409924
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 23.47 23.4703 2.4471 0.146
## Residuals 11 105.50 9.5912## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10946.72
## Q : 2628435
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.59 45.590 2.2495 0.1618
## Residuals 11 222.94 20.267## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11505.98
## Q : 2531873
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 52.288 52.288 4.1051 0.0677 .
## Residuals 11 140.110 12.737
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5322.504
## Q : 2518363
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11.249 11.249 0.7691 0.3992
## Residuals 11 160.891 14.627## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12226.66
## Q : 2800443
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.38 53.381 1.7115 0.2175
## Residuals 11 343.09 31.190## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7214.536
## Q : 2661947
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 19.553 19.553 1.3045 0.2776
## Residuals 11 164.877 14.989## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16807.37
## Q : 3131185
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 90.218 90.218 5.2794 0.0422 *
## Residuals 11 187.974 17.089
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8066.216
## Q : 1724505
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.729 37.729 36.822 8.097e-05 ***
## Residuals 11 11.271 1.025
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19771.07
## Q : 4590675
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 85.15 85.150 8.9877 0.01212 *
## Residuals 11 104.21 9.474
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7038.762
## Q : 2760942
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 17.945 17.945 0.8227 0.3838
## Residuals 11 239.940 21.813## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15964.03
## Q : 2912294
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 87.508 87.508 4.9413 0.04812 *
## Residuals 11 194.806 17.710
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9146.386
## Q : 2825510
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 29.608 29.6075 4.681 0.05337 .
## Residuals 11 69.576 6.3251
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14807.37
## Q : 2603967
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 84.202 84.202 9.382 0.01079 *
## Residuals 11 98.723 8.975
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8764.042
## Q : 2893974
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 26.541 26.5408 4.4611 0.05836 .
## Residuals 11 65.444 5.9494
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15631.85
## Q : 2674340
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 91.37 91.370 7.3613 0.02018 *
## Residuals 11 136.53 12.412
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5898.677
## Q : 2601075
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13.38 13.377 0.4079 0.5361
## Residuals 11 360.77 32.798## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13928.41
## Q : 2460559
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 78.844 78.844 11.742 0.005656 **
## Residuals 11 73.859 6.714
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11987.81
## Q : 3376775
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 42.558 42.558 5.6603 0.03656 *
## Residuals 11 82.704 7.519
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9462.063
## Q : 2074890
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 43.150 43.150 5.0214 0.04663 *
## Residuals 11 94.524 8.593
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11506.19
## Q : 2383946
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 55.535 55.535 5.6596 0.03657 *
## Residuals 11 107.937 9.812
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17033.45
## Q : 2500653
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 116.03 116.025 8.9882 0.01212 *
## Residuals 11 141.99 12.909
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15444.42
## Q : 3434777
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 69.446 69.446 6.0329 0.03189 *
## Residuals 11 126.622 11.511
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7180.675
## Q : 3838152
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13.434 13.434 0.8059 0.3886
## Residuals 11 183.360 16.669## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13258.03
## Q : 2595315
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 67.728 67.728 38.267 6.85e-05 ***
## Residuals 11 19.469 1.770
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18335.81
## Q : 2798540
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 120.14 120.135 11.044 0.006792 **
## Residuals 11 119.66 10.878
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11355.73
## Q : 2253030
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 57.24 57.235 1.6419 0.2264
## Residuals 11 383.46 34.860## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4400.915
## Q : 2578550
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7.511 7.5112 0.4754 0.5048
## Residuals 11 173.805 15.8005## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11028.95
## Q : 2915245
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 41.725 41.725 4.8905 0.04909 *
## Residuals 11 93.850 8.532
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13858.17
## Q : 3222379
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 59.598 59.598 33.955 0.0001147 ***
## Residuals 11 19.308 1.755
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20014.59
## Q : 3279312
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 122.16 122.155 8.0194 0.01632 *
## Residuals 11 167.56 15.232
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14368.58
## Q : 3143089
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 65.686 65.686 19.204 0.001095 **
## Residuals 11 37.624 3.420
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16531.56
## Q : 3548779
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 77.01 77.010 3.1843 0.1019
## Residuals 11 266.03 24.184## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4143.446
## Q : 2817048
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6.094 6.0944 0.3494 0.5664
## Residuals 11 191.862 17.4420## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12400.89
## Q : 3041390
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.563 50.563 5.3896 0.04047 *
## Residuals 11 103.198 9.382
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3142.253
## Q : 2405894
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.104 4.1040 0.4622 0.5107
## Residuals 11 97.674 8.8795## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12561.45
## Q : 2855030
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 55.267 55.267 2.2313 0.1634
## Residuals 11 272.466 24.770## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12118.47
## Q : 3046433
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.206 48.206 3.0695 0.1076
## Residuals 11 172.756 15.705## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8189.248
## Q : 2395705
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 27.993 27.9933 3.8167 0.07664 .
## Residuals 11 80.678 7.3344
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14355.67
## Q : 2906848
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.896 70.896 6.3128 0.02886 *
## Residuals 11 123.537 11.231
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19207.33
## Q : 3870840
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 95.308 95.308 29.527 0.0002058 ***
## Residuals 11 35.506 3.228
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16236.27
## Q : 3259343
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 80.88 80.880 5.7387 0.03551 *
## Residuals 11 155.03 14.094
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10251.04
## Q : 3284331
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 31.996 31.996 5.0887 0.04542 *
## Residuals 11 69.164 6.288
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12200.86
## Q : 2729735
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 54.533 54.533 7.7357 0.01786 *
## Residuals 11 77.545 7.050
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18595.25
## Q : 2884334
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 119.883 119.883 15.437 0.002356 **
## Residuals 11 85.423 7.766
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8225.722
## Q : 2145233
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 31.541 31.541 2.981 0.1122
## Residuals 11 116.387 10.581## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9289.423
## Q : 3024955
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 28.53 28.527 0.8764 0.3693
## Residuals 11 358.06 32.551## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 24976.04
## Q : 2801991
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 222.63 222.628 17.069 0.001668 **
## Residuals 11 143.47 13.043
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6689.128
## Q : 3125884
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14.314 14.314 0.8412 0.3787
## Residuals 11 187.181 17.016## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 2353.854
## Q : 2220305
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2.495 2.4954 0.1543 0.7019
## Residuals 11 177.856 16.1687## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7065.756
## Q : 2636153
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 18.939 18.9386 3.2063 0.1009
## Residuals 11 64.974 5.9067## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12948.83
## Q : 2667593
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.855 62.855 7.4302 0.01972 *
## Residuals 11 93.053 8.459
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9378.778
## Q : 2405938
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 36.56 36.560 2.1019 0.175
## Residuals 11 191.33 17.394## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9269.263
## Q : 3552762
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.184 24.1838 3.3372 0.09496 .
## Residuals 11 79.713 7.2466
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10461.24
## Q : 2214900
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.410 49.41 7.3202 0.02045 *
## Residuals 11 74.248 6.75
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7640.647
## Q : 2132795
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 27.372 27.372 1.5859 0.234
## Residuals 11 189.861 17.260## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6356.782
## Q : 2305658
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 17.526 17.526 1.0724 0.3226
## Residuals 11 179.773 16.343## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10297.61
## Q : 2581643
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 41.075 41.075 4.6774 0.05345 .
## Residuals 11 96.597 8.782
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5527.685
## Q : 2972157
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10.281 10.280 0.6654 0.432
## Residuals 11 169.942 15.449## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12361.07
## Q : 2885483
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 52.953 52.953 1.9567 0.1894
## Residuals 11 297.692 27.063## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7565.787
## Q : 2328215
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.586 24.586 2.3652 0.1523
## Residuals 11 114.344 10.395## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13040.76
## Q : 3337540
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.954 50.954 3.5366 0.08675 .
## Residuals 11 158.484 14.408
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8591.826
## Q : 2275344
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 32.443 32.443 5.8602 0.03396 *
## Residuals 11 60.898 5.536
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14133.83
## Q : 4100434
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.718 48.718 9.2592 0.01119 *
## Residuals 11 57.878 5.262
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6185.819
## Q : 2398208
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.955 15.955 1.5385 0.2406
## Residuals 11 114.080 10.371## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4754.259
## Q : 2818686
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8.019 8.019 0.3082 0.5899
## Residuals 11 286.190 26.017## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11963.76
## Q : 2418866
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 59.173 59.173 2.4629 0.1449
## Residuals 11 264.286 24.026## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7193.77
## Q : 3199550
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 16.174 16.174 1.0084 0.3369
## Residuals 11 176.441 16.040## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8419.026
## Q : 3298258
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.49 21.490 1.2095 0.2949
## Residuals 11 195.45 17.768## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9362.604
## Q : 2673549
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 32.787 32.787 1.4929 0.2473
## Residuals 11 241.584 21.962## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4575.142
## Q : 2693447
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7.771 7.7714 0.5367 0.4791
## Residuals 11 159.277 14.4798## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15697.22
## Q : 2592366
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 95.049 95.049 5.2815 0.04217 *
## Residuals 11 197.964 17.997
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11755.5
## Q : 3499499
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 39.489 39.489 3.0552 0.1083
## Residuals 11 142.177 12.925## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13380.81
## Q : 3588588
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.893 49.893 3.5049 0.088 .
## Residuals 11 156.589 14.235
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16908.18
## Q : 2899946
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 98.583 98.583 4.652 0.054 .
## Residuals 11 233.109 21.192
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7144.603
## Q : 3011208
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 16.952 16.9518 2.1874 0.1672
## Residuals 11 85.246 7.7496## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12528.11
## Q : 2744096
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 57.197 57.197 3.3834 0.09298 .
## Residuals 11 185.955 16.905
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15387.52
## Q : 2957019
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 80.072 80.072 11.8 0.005573 **
## Residuals 11 74.644 6.786
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10405.45
## Q : 2262094
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 47.864 47.864 15.893 0.002134 **
## Residuals 11 33.127 3.012
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19157.56
## Q : 3298125
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 111.28 111.279 5.1064 0.04511 *
## Residuals 11 239.71 21.792
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20726.69
## Q : 2765574
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 155.34 155.337 11.389 0.006199 **
## Residuals 11 150.03 13.639
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6180.651
## Q : 2021194
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 18.90 18.900 1.3638 0.2676
## Residuals 11 152.44 13.858## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19647.38
## Q : 3579470
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 107.84 107.843 19.978 0.0009475 ***
## Residuals 11 59.38 5.398
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8163.792
## Q : 2740710
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.318 24.318 1.499 0.2464
## Residuals 11 178.451 16.223## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14872.59
## Q : 2288810
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 96.642 96.642 9.9608 0.009143 **
## Residuals 11 106.724 9.702
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17210.94
## Q : 3159551
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 93.753 93.753 4.3801 0.06034 .
## Residuals 11 235.444 21.404
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 20265.78
## Q : 3878720
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 105.886 105.886 16.555 0.001855 **
## Residuals 11 70.357 6.396
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12485.3
## Q : 2394777
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 65.093 65.093 3.618 0.08365 .
## Residuals 11 197.907 17.992
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18722.69
## Q : 2670500
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 131.26 131.263 4.1787 0.06563 .
## Residuals 11 345.54 31.412
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9954.094
## Q : 2320280
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 42.70 42.703 1.1367 0.3092
## Residuals 11 413.23 37.566## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4924.677
## Q : 2317717
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10.464 10.464 0.6053 0.453
## Residuals 11 190.174 17.288## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6103.977
## Q : 2551715
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14.601 14.601 0.683 0.4261
## Residuals 11 235.147 21.377## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 26792.19
## Q : 4002455
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 179.34 179.345 10.948 0.006969 **
## Residuals 11 180.20 16.382
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12489.72
## Q : 2676003
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 58.293 58.293 12.344 0.004854 **
## Residuals 11 51.945 4.722
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14078.82
## Q : 2999268
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 66.087 66.087 4.3979 0.0599 .
## Residuals 11 165.298 15.027
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14440.01
## Q : 2023829
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 103.03 103.03 6.3599 0.02838 *
## Residuals 11 178.20 16.20
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14850.94
## Q : 2266405
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 97.313 97.313 6.5371 0.02667 *
## Residuals 11 163.749 14.886
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 22267.02
## Q : 3298905
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 150.30 150.298 6.028 0.03195 *
## Residuals 11 274.27 24.934
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7057.402
## Q : 2024128
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.607 24.6066 4.679 0.05341 .
## Residuals 11 57.848 5.2589
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11755.74
## Q : 2836395
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.723 48.723 5.3974 0.04035 *
## Residuals 11 99.298 9.027
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12117.21
## Q : 2868184
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.192 51.192 3.8239 0.0764 .
## Residuals 11 147.260 13.387
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8944.322
## Q : 2724898
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 29.359 29.3592 2.9953 0.1114
## Residuals 11 107.821 9.8019## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11925.59
## Q : 3131090
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.422 45.422 4.3938 0.06 .
## Residuals 11 113.716 10.338
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9122.166
## Q : 2733513
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.442 30.442 1.523 0.2429
## Residuals 11 219.872 19.988## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14322.15
## Q : 3536378
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 58.004 58.004 5.9154 0.03328 *
## Residuals 11 107.861 9.806
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10339.06
## Q : 1467286
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 72.853 72.853 2.5798 0.1365
## Residuals 11 310.638 28.240## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18104.25
## Q : 2921305
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 112.20 112.198 8.9062 0.01242 *
## Residuals 11 138.57 12.598
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7141.697
## Q : 2929778
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 17.409 17.409 3.3601 0.09397 .
## Residuals 11 56.991 5.181
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7888.67
## Q : 2438570
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 25.52 25.520 1.584 0.2342
## Residuals 11 177.22 16.111## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9332.592
## Q : 2337993
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.253 37.253 15.672 0.002239 **
## Residuals 11 26.148 2.377
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10764.89
## Q : 2588709
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 44.765 44.765 12.977 0.004152 **
## Residuals 11 37.943 3.449
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8237.756
## Q : 1663739
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.788 40.788 4.5151 0.05708 .
## Residuals 11 99.370 9.034
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16469.24
## Q : 2692448
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 100.74 100.740 8.3968 0.0145 *
## Residuals 11 131.97 11.997
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10400.65
## Q : 2821435
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 38.34 38.340 2.4818 0.1435
## Residuals 11 169.93 15.448## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6513.029
## Q : 2314294
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 18.329 18.329 1.2271 0.2916
## Residuals 11 164.314 14.938## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6580.067
## Q : 1775298
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.389 24.389 1.8897 0.1966
## Residuals 11 141.968 12.906## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14852.61
## Q : 3213941
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 68.639 68.639 9.2817 0.01112 *
## Residuals 11 81.345 7.395
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11177.87
## Q : 2492400
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.13 50.130 4.5423 0.05646 .
## Residuals 11 121.40 11.036
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18018.76
## Q : 3051322
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 106.41 106.41 9.1021 0.01172 *
## Residuals 11 128.59 11.69
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10856.82
## Q : 2320003
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.806 50.806 5.4406 0.03969 *
## Residuals 11 102.722 9.338
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11971.15
## Q : 2155968
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 66.471 66.471 3.6434 0.08271 .
## Residuals 11 200.687 18.244
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7163.446
## Q : 2193025
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 23.399 23.399 1.8419 0.2019
## Residuals 11 139.741 12.704## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16077.71
## Q : 3523431
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 73.364 73.364 4.6468 0.05411 .
## Residuals 11 173.669 15.788
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10650.27
## Q : 3023856
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.511 37.511 1.8555 0.2004
## Residuals 11 222.374 20.216## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10626.4
## Q : 2604677
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 43.353 43.353 5.4945 0.03889 *
## Residuals 11 86.792 7.890
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15906.06
## Q : 4026123
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.840 62.840 7.4177 0.01981 *
## Residuals 11 93.188 8.472
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 27331.92
## Q : 3344163
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 223.38 223.384 7.5267 0.01911 *
## Residuals 11 326.47 29.679
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6751.928
## Q : 2961904
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.392 15.3916 1.6577 0.2243
## Residuals 11 102.133 9.2848## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13599.95
## Q : 2365339
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 78.195 78.195 3.7837 0.07775 .
## Residuals 11 227.332 20.667
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 3703.856
## Q : 2780167
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.934 4.9344 0.6013 0.4544
## Residuals 11 90.265 8.2059## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : -3264.272
## Q : 2780069
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3.83 3.8328 0.1234 0.732
## Residuals 11 341.73 31.0668## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15937.53
## Q : 3321077
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.483 76.483 7.326 0.02041 *
## Residuals 11 114.839 10.440
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4761.853
## Q : 2544430
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8.912 8.9117 0.7508 0.4047
## Residuals 11 130.567 11.8697## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18184.47
## Q : 3282934
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 100.72 100.725 7.6164 0.01856 *
## Residuals 11 145.47 13.225
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14896.52
## Q : 2450620
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 90.551 90.551 7.3445 0.02029 *
## Residuals 11 135.619 12.329
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 32435.3
## Q : 3165868
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 332.31 332.31 12.97 0.00416 **
## Residuals 11 281.83 25.62
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6210.593
## Q : 3763464
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10.249 10.249 0.6404 0.4405
## Residuals 11 176.036 16.003## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6533.089
## Q : 2695320
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.835 15.8353 1.6018 0.2318
## Residuals 11 108.749 9.8863## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 16773.17
## Q : 3809141
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 73.859 73.859 6.519 0.02684 *
## Residuals 11 124.627 11.330
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12794.72
## Q : 3279183
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.922 49.922 2.4301 0.1473
## Residuals 11 225.981 20.544## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15287.3
## Q : 2741636
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 85.242 85.242 8.5141 0.01399 *
## Residuals 11 110.131 10.012
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15676.27
## Q : 3689484
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 66.607 66.607 2.94 0.1144
## Residuals 11 249.211 22.656## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 23554.55
## Q : 4196745
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 132.20 132.202 14.491 0.002909 **
## Residuals 11 100.35 9.123
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13571.26
## Q : 3065704
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 60.077 60.077 11.986 0.005313 **
## Residuals 11 55.133 5.012
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13666.66
## Q : 3824869
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.832 48.832 5.4908 0.03895 *
## Residuals 11 97.829 8.894
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 4316.676
## Q : 3246145
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5.74 5.7403 0.475 0.505
## Residuals 11 132.93 12.0841## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8252.563
## Q : 2296186
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 29.66 29.660 1.8227 0.2041
## Residuals 11 179.00 16.273## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6561.07
## Q : 3271885
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13.157 13.1568 1.5732 0.2357
## Residuals 11 91.994 8.3631## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8698.118
## Q : 2036484
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.151 37.151 2.3844 0.1508
## Residuals 11 171.389 15.581## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13859.92
## Q : 2712728
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.813 70.813 6.9078 0.02348 *
## Residuals 11 112.764 10.251
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18358.77
## Q : 2560880
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 131.61 131.613 13.583 0.003591 **
## Residuals 11 106.58 9.689
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13065.83
## Q : 2752598
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.02 62.020 4.5993 0.05516 .
## Residuals 11 148.33 13.485
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14571.47
## Q : 2964963
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 71.612 71.612 11.816 0.00555 **
## Residuals 11 66.667 6.061
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8920.847
## Q : 3279820
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.264 24.264 2.0357 0.1814
## Residuals 11 131.114 11.919## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12834.29
## Q : 2507282
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 65.696 65.696 6.2106 0.02992 *
## Residuals 11 116.359 10.578
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14223.52
## Q : 3011080
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 67.188 67.188 5.1424 0.04449 *
## Residuals 11 143.721 13.066
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12445.35
## Q : 2937559
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 52.726 52.726 7.8632 0.01715 *
## Residuals 11 73.760 6.705
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18420.66
## Q : 2930106
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 115.805 115.805 15.896 0.002133 **
## Residuals 11 80.135 7.285
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 6742.784
## Q : 3139605
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14.481 14.481 1.0292 0.3322
## Residuals 11 154.780 14.071## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8968.94
## Q : 2805950
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 28.668 28.668 2.4107 0.1488
## Residuals 11 130.814 11.892## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 18117.96
## Q : 2992939
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 109.68 109.68 8.5023 0.01404 *
## Residuals 11 141.90 12.90
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9514.255
## Q : 2312554
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 39.143 39.143 7.7412 0.01783 *
## Residuals 11 55.622 5.057
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13813.45
## Q : 2167254
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 88.043 88.043 4.637 0.05433 .
## Residuals 11 208.856 18.987
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19306.6
## Q : 2550482
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 146.15 146.147 11.196 0.006523 **
## Residuals 11 143.59 13.053
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11873.4
## Q : 2948772
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 47.809 47.809 7.0007 0.02275 *
## Residuals 11 75.121 6.829
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11857.86
## Q : 2557523
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 54.979 54.979 17.015 0.001687 **
## Residuals 11 35.543 3.231
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15180.82
## Q : 2331855
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 98.830 98.830 15.079 0.002549 **
## Residuals 11 72.095 6.554
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10126.11
## Q : 1964944
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 52.184 52.184 4.001 0.07077 .
## Residuals 11 143.470 13.043
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 17994.15
## Q : 2573423
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 125.82 125.820 11.357 0.006252 **
## Residuals 11 121.87 11.079
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 8928.433
## Q : 2591561
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.76 30.7602 4.3016 0.06234 .
## Residuals 11 78.66 7.1509
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9787.744
## Q : 2412954
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 39.70 39.702 0.9536 0.3498
## Residuals 11 457.99 41.636## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7025.256
## Q : 2247912
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.956 21.956 1.3753 0.2657
## Residuals 11 175.600 15.964## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5794.857
## Q : 2436361
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13.783 13.783 1.0428 0.3291
## Residuals 11 145.389 13.217## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13595.38
## Q : 1936347
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 95.455 95.455 18.079 0.001361 **
## Residuals 11 58.080 5.280
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9323.24
## Q : 2712269
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 32.048 32.048 2.5179 0.1409
## Residuals 11 140.011 12.728## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 14619.24
## Q : 3458088
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 61.804 61.804 2.2043 0.1657
## Residuals 11 308.414 28.038## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10070.27
## Q : 1852163
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 54.752 54.752 5.6939 0.0361 *
## Residuals 11 105.775 9.616
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10105.83
## Q : 2654324
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 38.476 38.476 2.8603 0.1189
## Residuals 11 147.968 13.452## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9771.522
## Q : 2483569
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 38.446 38.446 9.3538 0.01088 *
## Residuals 11 45.212 4.110
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15787.59
## Q : 2399507
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 103.875 103.875 16.534 0.001863 **
## Residuals 11 69.106 6.282
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12936.86
## Q : 2014136
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 83.094 83.094 9.5129 0.01039 *
## Residuals 11 96.084 8.735
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 13068.66
## Q : 2280724
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 74.884 74.884 6.7893 0.02445 *
## Residuals 11 121.327 11.030
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 5759.26
## Q : 2950827
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11.241 11.241 0.6041 0.4534
## Residuals 11 204.689 18.608## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10204.34
## Q : 2525342
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 41.233 41.233 8.6601 0.01338 *
## Residuals 11 52.374 4.761
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 19056.83
## Q : 2808041
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 129.33 129.330 7.9155 0.01686 *
## Residuals 11 179.73 16.339
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 27300.73
## Q : 3729850
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 199.83 199.828 21.918 0.0006698 ***
## Residuals 11 100.29 9.117
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10381.59
## Q : 3733292
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 28.869 28.8693 3.4003 0.09226 .
## Residuals 11 93.391 8.4901
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 9946.075
## Q : 2966878
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 33.343 33.343 3.51 0.0878 .
## Residuals 11 104.495 9.500
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 15362.31
## Q : 3090526
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.363 76.363 37.632 7.367e-05 ***
## Residuals 11 22.321 2.029
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 12455.27
## Q : 2466097
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.907 62.907 4.8626 0.04964 *
## Residuals 11 142.304 12.937
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 10944.99
## Q : 3681220
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 32.542 32.542 1.9421 0.191
## Residuals 11 184.313 16.756## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 7749.213
## Q : 2622255
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 22.900 22.9003 4.7836 0.05122 .
## Residuals 11 52.659 4.7872
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in mu + taus + betas + lambda * taus * betas + e: comprimento do objeto
## maior não é múltiplo do comprimento do objeto menor##
## Tukey's test of nonadditivity
## y
##
## P : 11493.88
## Q : 2123250
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.22 62.220 2.6291 0.1332
## Residuals 11 260.33 23.666mean(pvalor1 < 0.05)## [1] 0.509mean(pvalor2 < 0.05)## [1] 0Caso 3
Para criar um conjunto de dados que não seja aditivos, temos que ter os efeitos do modelo com interação. Por exemplo
\[y_{ij}=\mu+ \tau_i+ \beta_{j}+\lambda\tau_i \beta_{j} +e_{ij}\]
Se tivermos por exemplo
library(agricolae)
taus = c(5,3,-8)
betas = c(-5,-5,10)
sig = 3; mu = 20
trat = factor(rep(1:3,3))
bloc = factor(rep(1:3,each=3))
lambda = seq(-1,1,0.001)
pvalor=c()
e = rnorm(9, 0, sig)
for (simu in 1:length(lambda)) {
y = mu + rep(taus,3) + rep(betas,each=3) + lambda[simu]*rep(taus,3)*rep(betas,each=3) + e
mod = aov(y~ bloc+trat)
# Podemos calcular a aditividade assim
nad = nonadditivity(y,bloc,trat,
df = summary(mod)[[1]][3,1],
MSerror=summary(mod)[[1]][3,3])
pvalor[simu] = nad$ANOVA[1,5]
}##
## Tukey's test of nonadditivity
## y
##
## P : -29450.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13865.1 13865.1 1161.3 5.556e-05 ***
## Residuals 3 35.8 11.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29419.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13836.6 13836.6 1161.8 5.552e-05 ***
## Residuals 3 35.7 11.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29389.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13808.2 13808.2 1162.3 5.548e-05 ***
## Residuals 3 35.6 11.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29359.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13779.8 13779.8 1162.9 5.544e-05 ***
## Residuals 3 35.5 11.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29329.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13751.4 13751.4 1163.4 5.54e-05 ***
## Residuals 3 35.5 11.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29298.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13723.0 13723.0 1163.9 5.537e-05 ***
## Residuals 3 35.4 11.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29268.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13694.7 13694.7 1164.5 5.533e-05 ***
## Residuals 3 35.3 11.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29238.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13666.4 13666.4 1165 5.529e-05 ***
## Residuals 3 35.2 11.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29208.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13638.2 13638.2 1165.5 5.525e-05 ***
## Residuals 3 35.1 11.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29177.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13610 13609.9 1166.1 5.521e-05 ***
## Residuals 3 35 11.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29147.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13581.7 13581.7 1166.6 5.518e-05 ***
## Residuals 3 34.9 11.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29117.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13553.6 13553.6 1167.1 5.514e-05 ***
## Residuals 3 34.8 11.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29087.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13525.4 13525.4 1167.7 5.51e-05 ***
## Residuals 3 34.7 11.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29056.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13497.3 13497.3 1168.2 5.506e-05 ***
## Residuals 3 34.7 11.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -29026.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13469.2 13469.2 1168.7 5.502e-05 ***
## Residuals 3 34.6 11.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28996.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13441.2 13441.2 1169.3 5.499e-05 ***
## Residuals 3 34.5 11.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28966.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13413.1 13413.1 1169.8 5.495e-05 ***
## Residuals 3 34.4 11.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28935.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13385.1 13385.1 1170.3 5.491e-05 ***
## Residuals 3 34.3 11.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28905.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13357.2 13357.2 1170.9 5.487e-05 ***
## Residuals 3 34.2 11.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28875.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13329.2 13329.2 1171.4 5.484e-05 ***
## Residuals 3 34.1 11.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28845.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13301 13301.3 1172 5.48e-05 ***
## Residuals 3 34 11.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28814.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13273 13273.4 1172.5 5.476e-05 ***
## Residuals 3 34 11.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28784.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13245.6 13245.6 1173 5.472e-05 ***
## Residuals 3 33.9 11.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28754.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13217.8 13217.8 1173.6 5.469e-05 ***
## Residuals 3 33.8 11.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28724.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13190.0 13190.0 1174.1 5.465e-05 ***
## Residuals 3 33.7 11.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28693.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13162.2 13162.2 1174.6 5.461e-05 ***
## Residuals 3 33.6 11.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28663.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13134.5 13134.5 1175.2 5.457e-05 ***
## Residuals 3 33.5 11.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28633.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13106.8 13106.8 1175.7 5.454e-05 ***
## Residuals 3 33.4 11.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28603.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13079.1 13079.1 1176.3 5.45e-05 ***
## Residuals 3 33.4 11.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28572.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13051.4 13051.4 1176.8 5.446e-05 ***
## Residuals 3 33.3 11.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28542.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13023.8 13023.8 1177.3 5.442e-05 ***
## Residuals 3 33.2 11.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28512.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12996.2 12996 1177.9 5.439e-05 ***
## Residuals 3 33.1 11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28482.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12969 12969 1178.4 5.435e-05 ***
## Residuals 3 33 11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28451.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12941.1 12941 1178.9 5.431e-05 ***
## Residuals 3 32.9 11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28421.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12913.6 12913.6 1179.5 5.428e-05 ***
## Residuals 3 32.8 10.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28391.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12886.2 12886.2 1180 5.424e-05 ***
## Residuals 3 32.8 10.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28361.23
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12858.7 12858.7 1180.6 5.42e-05 ***
## Residuals 3 32.7 10.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28330.99
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12831.3 12831.3 1181.1 5.416e-05 ***
## Residuals 3 32.6 10.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28300.74
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12803.9 12803.9 1181.6 5.413e-05 ***
## Residuals 3 32.5 10.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28270.49
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12776.6 12776.6 1182.2 5.409e-05 ***
## Residuals 3 32.4 10.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28240.25
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12749.3 12749.3 1182.7 5.405e-05 ***
## Residuals 3 32.3 10.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28210
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12722.0 12722.0 1183.3 5.402e-05 ***
## Residuals 3 32.3 10.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28179.75
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12694.7 12694.7 1183.8 5.398e-05 ***
## Residuals 3 32.2 10.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28149.51
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12667.5 12667.5 1184.3 5.394e-05 ***
## Residuals 3 32.1 10.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28119.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12640 12640.3 1184.9 5.391e-05 ***
## Residuals 3 32 10.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28089.01
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12613.1 12613.1 1185.4 5.387e-05 ***
## Residuals 3 31.9 10.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28058.77
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12585.9 12585.9 1186 5.383e-05 ***
## Residuals 3 31.8 10.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -28028.52
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12558.8 12558.8 1186.5 5.38e-05 ***
## Residuals 3 31.8 10.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27998.27
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12531.7 12531.7 1187 5.376e-05 ***
## Residuals 3 31.7 10.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27968.03
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12504.7 12504.7 1187.6 5.372e-05 ***
## Residuals 3 31.6 10.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27937.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12477.6 12477.6 1188.1 5.369e-05 ***
## Residuals 3 31.5 10.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27907.53
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12450.6 12450.6 1188.6 5.365e-05 ***
## Residuals 3 31.4 10.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27877.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12423.6 12423.6 1189.2 5.361e-05 ***
## Residuals 3 31.3 10.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27847.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12396.7 12396.7 1189.7 5.358e-05 ***
## Residuals 3 31.3 10.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27816.79
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12369.8 12369.8 1190.3 5.354e-05 ***
## Residuals 3 31.2 10.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27786.55
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12342.9 12342.9 1190.8 5.351e-05 ***
## Residuals 3 31.1 10.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27756.3
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12316 12316.0 1191.3 5.347e-05 ***
## Residuals 3 31 10.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27726.05
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12289.2 12289.2 1191.9 5.343e-05 ***
## Residuals 3 30.9 10.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27695.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12262.4 12262.4 1192.4 5.34e-05 ***
## Residuals 3 30.9 10.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27665.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12235.6 12235.6 1193 5.336e-05 ***
## Residuals 3 30.8 10.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27635.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12208.9 12208.9 1193.5 5.333e-05 ***
## Residuals 3 30.7 10.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27605.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12182.2 12182.2 1194 5.329e-05 ***
## Residuals 3 30.6 10.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27574.82
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12155.5 12155.5 1194.6 5.325e-05 ***
## Residuals 3 30.5 10.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27544.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12128.9 12128.9 1195.1 5.322e-05 ***
## Residuals 3 30.4 10.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27514.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12102.2 12102.2 1195.6 5.318e-05 ***
## Residuals 3 30.4 10.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27484.08
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12075.6 12075.6 1196.2 5.315e-05 ***
## Residuals 3 30.3 10.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27453.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12049.1 12049.1 1196.7 5.311e-05 ***
## Residuals 3 30.2 10.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27423.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12022.5 12022 1197.3 5.307e-05 ***
## Residuals 3 30.1 10
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27393.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11996 11996 1197.8 5.304e-05 ***
## Residuals 3 30 10
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27363.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11970 11970 1198.3 5.3e-05 ***
## Residuals 3 30 10
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27332.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11943.1 11943 1198.9 5.297e-05 ***
## Residuals 3 29.9 10
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27302.6
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11916.7 11916.7 1199.4 5.293e-05 ***
## Residuals 3 29.8 9.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27272.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11890.3 11890.3 1199.9 5.29e-05 ***
## Residuals 3 29.7 9.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27242.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11863.9 11863.9 1200.5 5.286e-05 ***
## Residuals 3 29.6 9.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27211.86
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11837.6 11837.6 1201 5.283e-05 ***
## Residuals 3 29.6 9.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27181.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11811.3 11811.3 1201.5 5.279e-05 ***
## Residuals 3 29.5 9.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27151.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11785.0 11785.0 1202.1 5.276e-05 ***
## Residuals 3 29.4 9.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27121.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11758.8 11758.8 1202.6 5.272e-05 ***
## Residuals 3 29.3 9.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27090.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11732.6 11732.6 1203.2 5.269e-05 ***
## Residuals 3 29.3 9.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27060.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11706.4 11706.4 1203.7 5.265e-05 ***
## Residuals 3 29.2 9.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27030.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11680.3 11680.3 1204.2 5.262e-05 ***
## Residuals 3 29.1 9.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -27000.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11654 11654.1 1204.8 5.258e-05 ***
## Residuals 3 29 9.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26969.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11628.0 11628.0 1205.3 5.255e-05 ***
## Residuals 3 28.9 9.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26939.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11602.0 11602.0 1205.8 5.251e-05 ***
## Residuals 3 28.9 9.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26909.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11575.9 11575.9 1206.4 5.248e-05 ***
## Residuals 3 28.8 9.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26879.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11549.9 11549.9 1206.9 5.244e-05 ***
## Residuals 3 28.7 9.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26848.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11523.9 11523.9 1207.4 5.241e-05 ***
## Residuals 3 28.6 9.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26818.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11498.0 11498.0 1208 5.237e-05 ***
## Residuals 3 28.6 9.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26788.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11472.1 11472.1 1208.5 5.234e-05 ***
## Residuals 3 28.5 9.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26758.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11446.2 11446.2 1209 5.23e-05 ***
## Residuals 3 28.4 9.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26727.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11420.3 11420.3 1209.5 5.227e-05 ***
## Residuals 3 28.3 9.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26697.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11394.5 11394.5 1210.1 5.223e-05 ***
## Residuals 3 28.2 9.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26667.42
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11368.7 11368.7 1210.6 5.22e-05 ***
## Residuals 3 28.2 9.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26637.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11342.9 11342.9 1211.1 5.217e-05 ***
## Residuals 3 28.1 9.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26606.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11317 11317.2 1211.7 5.213e-05 ***
## Residuals 3 28 9.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26576.68
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11291.4 11291.4 1212.2 5.21e-05 ***
## Residuals 3 27.9 9.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26546.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11265.8 11265.8 1212.7 5.206e-05 ***
## Residuals 3 27.9 9.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26516.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11240.1 11240.1 1213.3 5.203e-05 ***
## Residuals 3 27.8 9.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26485.94
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11214.5 11214.5 1213.8 5.2e-05 ***
## Residuals 3 27.7 9.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26455.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11188.9 11188.9 1214.3 5.196e-05 ***
## Residuals 3 27.6 9.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26425.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11163.3 11163.3 1214.8 5.193e-05 ***
## Residuals 3 27.6 9.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26395.2
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11137.8 11137.8 1215.4 5.19e-05 ***
## Residuals 3 27.5 9.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26364.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11112.2 11112.2 1215.9 5.186e-05 ***
## Residuals 3 27.4 9.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26334.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11086.8 11086.8 1216.4 5.183e-05 ***
## Residuals 3 27.3 9.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26304.46
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11061.3 11061.3 1216.9 5.18e-05 ***
## Residuals 3 27.3 9.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26274.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11035.9 11035.9 1217.5 5.176e-05 ***
## Residuals 3 27.2 9.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26243.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11010.5 11010 1218 5.173e-05 ***
## Residuals 3 27.1 9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26213.72
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10985 10985 1218.5 5.17e-05 ***
## Residuals 3 27 9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26183.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10960 10960 1219 5.166e-05 ***
## Residuals 3 27 9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26153.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10934.5 10934 1219.5 5.163e-05 ***
## Residuals 3 26.9 9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26122.98
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10909.2 10909.2 1220.1 5.16e-05 ***
## Residuals 3 26.8 8.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26092.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10884.0 10884.0 1220.6 5.156e-05 ***
## Residuals 3 26.8 8.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26062.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10858.7 10858.7 1221.1 5.153e-05 ***
## Residuals 3 26.7 8.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26032.24
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10833.6 10833.6 1221.6 5.15e-05 ***
## Residuals 3 26.6 8.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -26001.99
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10808.4 10808.4 1222.1 5.147e-05 ***
## Residuals 3 26.5 8.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25971.74
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10783.3 10783.3 1222.6 5.143e-05 ***
## Residuals 3 26.5 8.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25941.5
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10758.2 10758.2 1223.2 5.14e-05 ***
## Residuals 3 26.4 8.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25911.25
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10733.1 10733.1 1223.7 5.137e-05 ***
## Residuals 3 26.3 8.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25881
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10708.0 10708.0 1224.2 5.134e-05 ***
## Residuals 3 26.2 8.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25850.76
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10683.0 10683.0 1224.7 5.13e-05 ***
## Residuals 3 26.2 8.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25820.51
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10658.0 10658.0 1225.2 5.127e-05 ***
## Residuals 3 26.1 8.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25790.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10633 10633.1 1225.7 5.124e-05 ***
## Residuals 3 26 8.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25760.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10608 10608.2 1226.2 5.121e-05 ***
## Residuals 3 26 8.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25729.77
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10583.3 10583.3 1226.8 5.118e-05 ***
## Residuals 3 25.9 8.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25699.52
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10558.4 10558.4 1227.3 5.114e-05 ***
## Residuals 3 25.8 8.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25669.28
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10533.6 10533.6 1227.8 5.111e-05 ***
## Residuals 3 25.7 8.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25639.03
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10508.8 10508.8 1228.3 5.108e-05 ***
## Residuals 3 25.7 8.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25608.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10484.0 10484.0 1228.8 5.105e-05 ***
## Residuals 3 25.6 8.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25578.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10459.2 10459.2 1229.3 5.102e-05 ***
## Residuals 3 25.5 8.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25548.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10434.5 10434.5 1229.8 5.099e-05 ***
## Residuals 3 25.5 8.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25518.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10409.8 10409.8 1230.3 5.095e-05 ***
## Residuals 3 25.4 8.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25487.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10385.1 10385.1 1230.8 5.092e-05 ***
## Residuals 3 25.3 8.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25457.55
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10360.5 10360.5 1231.3 5.089e-05 ***
## Residuals 3 25.2 8.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25427.3
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10335.9 10335.9 1231.8 5.086e-05 ***
## Residuals 3 25.2 8.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25397.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10311.3 10311.3 1232.3 5.083e-05 ***
## Residuals 3 25.1 8.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25366.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10287 10286.8 1232.8 5.08e-05 ***
## Residuals 3 25 8.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25336.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10262 10262.3 1233.3 5.077e-05 ***
## Residuals 3 25 8.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25306.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10237.8 10237.8 1233.8 5.074e-05 ***
## Residuals 3 24.9 8.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25276.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10213.3 10213.3 1234.3 5.071e-05 ***
## Residuals 3 24.8 8.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25245.82
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10188.9 10188.9 1234.8 5.068e-05 ***
## Residuals 3 24.8 8.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25215.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10164.5 10164.5 1235.3 5.065e-05 ***
## Residuals 3 24.7 8.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25185.33
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10140.1 10140.1 1235.8 5.062e-05 ***
## Residuals 3 24.6 8.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25155.08
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10115.8 10115.8 1236.3 5.059e-05 ***
## Residuals 3 24.5 8.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25124.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10091.5 10091.5 1236.8 5.056e-05 ***
## Residuals 3 24.5 8.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25094.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10067.2 10067.2 1237.2 5.053e-05 ***
## Residuals 3 24.4 8.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25064.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10042.9 10042.9 1237.7 5.05e-05 ***
## Residuals 3 24.3 8.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25034.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10018.7 10018.7 1238.2 5.047e-05 ***
## Residuals 3 24.3 8.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -25003.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9994.5 9994.5 1238.7 5.044e-05 ***
## Residuals 3 24.2 8.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24973.6
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9970.3 9970.3 1239.2 5.041e-05 ***
## Residuals 3 24.1 8.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24943.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9946.2 9946.2 1239.7 5.038e-05 ***
## Residuals 3 24.1 8.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24913.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9922.1 9922.1 1240.1 5.035e-05 ***
## Residuals 3 24.0 8.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24882.86
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9898.0 9898 1240.6 5.032e-05 ***
## Residuals 3 23.9 8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24852.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9874.0 9874 1241.1 5.029e-05 ***
## Residuals 3 23.9 8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24822.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9850.0 9850.0 1241.6 5.026e-05 ***
## Residuals 3 23.8 7.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24792.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9826.0 9826.0 1242 5.023e-05 ***
## Residuals 3 23.7 7.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24761.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9802.0 9802.0 1242.5 5.021e-05 ***
## Residuals 3 23.7 7.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24731.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9778.1 9778.1 1243 5.018e-05 ***
## Residuals 3 23.6 7.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24701.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9754.2 9754.2 1243.5 5.015e-05 ***
## Residuals 3 23.5 7.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24671.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9730.3 9730.3 1243.9 5.012e-05 ***
## Residuals 3 23.5 7.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24640.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9706.5 9706.5 1244.4 5.009e-05 ***
## Residuals 3 23.4 7.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24610.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9682.6 9682.6 1244.9 5.006e-05 ***
## Residuals 3 23.3 7.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24580.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9658.9 9658.9 1245.3 5.004e-05 ***
## Residuals 3 23.3 7.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24550.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9635.1 9635.1 1245.8 5.001e-05 ***
## Residuals 3 23.2 7.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24519.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9611.4 9611.4 1246.3 4.998e-05 ***
## Residuals 3 23.1 7.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24489.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9587.7 9587.7 1246.7 4.995e-05 ***
## Residuals 3 23.1 7.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24459.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9564 9564.0 1247.2 4.993e-05 ***
## Residuals 3 23 7.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24429.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9540.4 9540.4 1247.6 4.99e-05 ***
## Residuals 3 22.9 7.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24398.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9516.8 9516.8 1248.1 4.987e-05 ***
## Residuals 3 22.9 7.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24368.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9493.2 9493.2 1248.5 4.984e-05 ***
## Residuals 3 22.8 7.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24338.42
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9469.6 9469.6 1249 4.982e-05 ***
## Residuals 3 22.7 7.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24308.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9446.1 9446.1 1249.4 4.979e-05 ***
## Residuals 3 22.7 7.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24277.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9422.6 9422.6 1249.9 4.976e-05 ***
## Residuals 3 22.6 7.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24247.68
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9399.1 9399.1 1250.3 4.974e-05 ***
## Residuals 3 22.6 7.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24217.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9375.7 9375.7 1250.8 4.971e-05 ***
## Residuals 3 22.5 7.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24187.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9352.3 9352.3 1251.2 4.968e-05 ***
## Residuals 3 22.4 7.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24156.94
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9328.9 9328.9 1251.7 4.966e-05 ***
## Residuals 3 22.4 7.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24126.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9305.6 9305.6 1252.1 4.963e-05 ***
## Residuals 3 22.3 7.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24096.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9282.3 9282.3 1252.5 4.961e-05 ***
## Residuals 3 22.2 7.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24066.2
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9259.0 9259.0 1253 4.958e-05 ***
## Residuals 3 22.2 7.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24035.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9235.7 9235.7 1253.4 4.956e-05 ***
## Residuals 3 22.1 7.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -24005.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9212.5 9212.5 1253.8 4.953e-05 ***
## Residuals 3 22.0 7.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23975.46
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9189.3 9189.3 1254.3 4.95e-05 ***
## Residuals 3 22.0 7.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23945.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9166.1 9166.1 1254.7 4.948e-05 ***
## Residuals 3 21.9 7.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23914.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9143.0 9143.0 1255.1 4.945e-05 ***
## Residuals 3 21.9 7.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23884.72
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9119.9 9119.9 1255.5 4.943e-05 ***
## Residuals 3 21.8 7.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23854.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9096.8 9096.8 1255.9 4.941e-05 ***
## Residuals 3 21.7 7.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23824.23
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9073.7 9073.7 1256.4 4.938e-05 ***
## Residuals 3 21.7 7.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23793.98
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9050.7 9050.7 1256.8 4.936e-05 ***
## Residuals 3 21.6 7.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23763.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9027.7 9027.7 1257.2 4.933e-05 ***
## Residuals 3 21.5 7.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23733.49
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9004.7 9004.7 1257.6 4.931e-05 ***
## Residuals 3 21.5 7.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23703.24
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8981.8 8981.8 1258 4.928e-05 ***
## Residuals 3 21.4 7.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23672.99
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8958.9 8958.9 1258.4 4.926e-05 ***
## Residuals 3 21.4 7.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23642.75
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8936.0 8936.0 1258.8 4.924e-05 ***
## Residuals 3 21.3 7.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23612.5
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8913.2 8913.2 1259.2 4.921e-05 ***
## Residuals 3 21.2 7.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23582.25
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8890.3 8890.3 1259.6 4.919e-05 ***
## Residuals 3 21.2 7.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23552.01
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8867.6 8867.6 1260 4.917e-05 ***
## Residuals 3 21.1 7.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23521.76
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8844.8 8844.8 1260.4 4.914e-05 ***
## Residuals 3 21.1 7.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23491.51
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8822.1 8822.1 1260.8 4.912e-05 ***
## Residuals 3 21.0 7.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23461.27
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8799.4 8799.4 1261.2 4.91e-05 ***
## Residuals 3 20.9 7.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23431.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8776.7 8776.7 1261.6 4.908e-05 ***
## Residuals 3 20.9 7.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23400.77
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8754.0 8754.0 1262 4.905e-05 ***
## Residuals 3 20.8 6.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23370.53
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8731.4 8731.4 1262.3 4.903e-05 ***
## Residuals 3 20.8 6.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23340.28
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8708.8 8708.8 1262.7 4.901e-05 ***
## Residuals 3 20.7 6.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23310.03
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8686.3 8686.3 1263.1 4.899e-05 ***
## Residuals 3 20.6 6.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23279.79
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8663.7 8663.7 1263.5 4.897e-05 ***
## Residuals 3 20.6 6.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23249.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8641.3 8641.3 1263.8 4.894e-05 ***
## Residuals 3 20.5 6.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23219.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8618.8 8618.8 1264.2 4.892e-05 ***
## Residuals 3 20.5 6.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23189.05
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8596.3 8596.3 1264.6 4.89e-05 ***
## Residuals 3 20.4 6.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23158.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8573.9 8573.9 1264.9 4.888e-05 ***
## Residuals 3 20.3 6.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23128.55
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8551.5 8551.5 1265.3 4.886e-05 ***
## Residuals 3 20.3 6.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23098.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8529.2 8529.2 1265.6 4.884e-05 ***
## Residuals 3 20.2 6.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23068.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8506.9 8506.9 1266 4.882e-05 ***
## Residuals 3 20.2 6.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23037.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8484.6 8484.6 1266.3 4.88e-05 ***
## Residuals 3 20.1 6.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -23007.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8462.3 8462.3 1266.7 4.878e-05 ***
## Residuals 3 20.0 6.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22977.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8440.1 8440.1 1267 4.876e-05 ***
## Residuals 3 20.0 6.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22947.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8417.9 8417.9 1267.4 4.874e-05 ***
## Residuals 3 19.9 6.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22916.82
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8395.7 8395.7 1267.7 4.872e-05 ***
## Residuals 3 19.9 6.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22886.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8373.6 8373.6 1268 4.87e-05 ***
## Residuals 3 19.8 6.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22856.33
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8351.4 8351.4 1268.4 4.868e-05 ***
## Residuals 3 19.8 6.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22826.08
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8329.3 8329.3 1268.7 4.866e-05 ***
## Residuals 3 19.7 6.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22795.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8307.3 8307.3 1269 4.864e-05 ***
## Residuals 3 19.6 6.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22765.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8285.3 8285.3 1269.3 4.863e-05 ***
## Residuals 3 19.6 6.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22735.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8263.3 8263.3 1269.7 4.861e-05 ***
## Residuals 3 19.5 6.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22705.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8241.3 8241.3 1270 4.859e-05 ***
## Residuals 3 19.5 6.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22674.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8219.3 8219.3 1270.3 4.857e-05 ***
## Residuals 3 19.4 6.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22644.6
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8197.4 8197.4 1270.6 4.855e-05 ***
## Residuals 3 19.4 6.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22614.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8175.5 8175.5 1270.9 4.854e-05 ***
## Residuals 3 19.3 6.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22584.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8153.7 8153.7 1271.2 4.852e-05 ***
## Residuals 3 19.2 6.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22553.86
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8131.9 8131.9 1271.5 4.85e-05 ***
## Residuals 3 19.2 6.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22523.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8110.1 8110.1 1271.8 4.849e-05 ***
## Residuals 3 19.1 6.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22493.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8088.3 8088.3 1272.1 4.847e-05 ***
## Residuals 3 19.1 6.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22463.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8066.6 8066.6 1272.4 4.845e-05 ***
## Residuals 3 19.0 6.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22432.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8044.8 8044.8 1272.6 4.844e-05 ***
## Residuals 3 19.0 6.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22402.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8023.2 8023.2 1272.9 4.842e-05 ***
## Residuals 3 18.9 6.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22372.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8001.5 8001.5 1273.2 4.841e-05 ***
## Residuals 3 18.9 6.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22342.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7979.9 7979.9 1273.5 4.839e-05 ***
## Residuals 3 18.8 6.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22311.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7958.3 7958.3 1273.7 4.838e-05 ***
## Residuals 3 18.7 6.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22281.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7936.7 7936.7 1274 4.836e-05 ***
## Residuals 3 18.7 6.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22251.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7915.2 7915.2 1274.3 4.835e-05 ***
## Residuals 3 18.6 6.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22221.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7893.7 7893.7 1274.5 4.833e-05 ***
## Residuals 3 18.6 6.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22190.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7872.2 7872.2 1274.8 4.832e-05 ***
## Residuals 3 18.5 6.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22160.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7850.8 7850.8 1275 4.83e-05 ***
## Residuals 3 18.5 6.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22130.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7829.4 7829.4 1275.2 4.829e-05 ***
## Residuals 3 18.4 6.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22100.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7808.0 7808.0 1275.5 4.828e-05 ***
## Residuals 3 18.4 6.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22069.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7786.6 7786.6 1275.7 4.826e-05 ***
## Residuals 3 18.3 6.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22039.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7765.3 7765.3 1275.9 4.825e-05 ***
## Residuals 3 18.3 6.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -22009.42
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7744.0 7744.0 1276.2 4.824e-05 ***
## Residuals 3 18.2 6.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21979.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7722.7 7722.7 1276.4 4.822e-05 ***
## Residuals 3 18.2 6.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21948.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7701.5 7701.5 1276.6 4.821e-05 ***
## Residuals 3 18.1 6.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21918.68
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7680.3 7680.3 1276.8 4.82e-05 ***
## Residuals 3 18.0 6.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21888.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7659.1 7659.1 1277 4.819e-05 ***
## Residuals 3 18.0 6.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21858.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7637.9 7637.9 1277.2 4.818e-05 ***
## Residuals 3 17.9 6.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21827.94
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7616.8 7616.8 1277.4 4.817e-05 ***
## Residuals 3 17.9 6.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21797.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7595.7 7595.7 1277.6 4.815e-05 ***
## Residuals 3 17.8 5.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21767.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7574.7 7574.7 1277.8 4.814e-05 ***
## Residuals 3 17.8 5.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21737.2
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7553.6 7553.6 1278 4.813e-05 ***
## Residuals 3 17.7 5.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21706.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7532.6 7532.6 1278.2 4.812e-05 ***
## Residuals 3 17.7 5.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21676.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7511.6 7511.6 1278.4 4.811e-05 ***
## Residuals 3 17.6 5.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21646.46
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7490.7 7490.7 1278.5 4.81e-05 ***
## Residuals 3 17.6 5.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21616.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7469.8 7469.8 1278.7 4.809e-05 ***
## Residuals 3 17.5 5.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21585.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7448.9 7448.9 1278.9 4.809e-05 ***
## Residuals 3 17.5 5.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21555.72
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7428.0 7428.0 1279 4.808e-05 ***
## Residuals 3 17.4 5.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21525.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7407.2 7407.2 1279.2 4.807e-05 ***
## Residuals 3 17.4 5.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21495.23
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7386.4 7386.4 1279.3 4.806e-05 ***
## Residuals 3 17.3 5.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21464.98
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7365.6 7365.6 1279.4 4.805e-05 ***
## Residuals 3 17.3 5.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21434.74
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7344.9 7344.9 1279.6 4.804e-05 ***
## Residuals 3 17.2 5.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21404.49
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7324.2 7324.2 1279.7 4.804e-05 ***
## Residuals 3 17.2 5.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21374.24
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7303.5 7303.5 1279.8 4.803e-05 ***
## Residuals 3 17.1 5.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21344
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7282.8 7282.8 1280 4.802e-05 ***
## Residuals 3 17.1 5.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21313.75
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7262.2 7262.2 1280.1 4.802e-05 ***
## Residuals 3 17.0 5.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21283.5
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7241.6 7241.6 1280.2 4.801e-05 ***
## Residuals 3 17.0 5.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21253.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7221.0 7221.0 1280.3 4.801e-05 ***
## Residuals 3 16.9 5.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21223.01
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7200.5 7200.5 1280.4 4.8e-05 ***
## Residuals 3 16.9 5.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21192.76
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7180.0 7180.0 1280.5 4.799e-05 ***
## Residuals 3 16.8 5.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21162.52
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7159.5 7159.5 1280.6 4.799e-05 ***
## Residuals 3 16.8 5.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21132.27
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7139.0 7139.0 1280.6 4.799e-05 ***
## Residuals 3 16.7 5.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21102.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7118.6 7118.6 1280.7 4.798e-05 ***
## Residuals 3 16.7 5.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21071.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7098.2 7098.2 1280.8 4.798e-05 ***
## Residuals 3 16.6 5.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21041.53
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7077.9 7077.9 1280.8 4.797e-05 ***
## Residuals 3 16.6 5.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -21011.28
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7057.5 7057.5 1280.9 4.797e-05 ***
## Residuals 3 16.5 5.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20981.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7037.2 7037.2 1281 4.797e-05 ***
## Residuals 3 16.5 5.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20950.79
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7017.0 7017.0 1281 4.797e-05 ***
## Residuals 3 16.4 5.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20920.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6996.7 6996.7 1281 4.796e-05 ***
## Residuals 3 16.4 5.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20890.3
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6976.5 6976.5 1281.1 4.796e-05 ***
## Residuals 3 16.3 5.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20860.05
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6956.3 6956.3 1281.1 4.796e-05 ***
## Residuals 3 16.3 5.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20829.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6936.1 6936.1 1281.1 4.796e-05 ***
## Residuals 3 16.2 5.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20799.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6916.0 6916.0 1281.1 4.796e-05 ***
## Residuals 3 16.2 5.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20769.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6895.9 6895.9 1281.1 4.796e-05 ***
## Residuals 3 16.1 5.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20739.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6875.8 6875.8 1281.1 4.796e-05 ***
## Residuals 3 16.1 5.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20708.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6855.8 6855.8 1281.1 4.796e-05 ***
## Residuals 3 16.1 5.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20678.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6835.8 6835.8 1281.1 4.796e-05 ***
## Residuals 3 16.0 5.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20648.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6815.8 6815.8 1281.1 4.796e-05 ***
## Residuals 3 16.0 5.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20618.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6795.9 6795.9 1281.1 4.796e-05 ***
## Residuals 3 15.9 5.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20587.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6775.9 6775.9 1281.1 4.796e-05 ***
## Residuals 3 15.9 5.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20557.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6756.0 6756.0 1281 4.796e-05 ***
## Residuals 3 15.8 5.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20527.33
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6736.2 6736.2 1281 4.797e-05 ***
## Residuals 3 15.8 5.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20497.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6716.3 6716.3 1280.9 4.797e-05 ***
## Residuals 3 15.7 5.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20466.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6696.5 6696.5 1280.9 4.797e-05 ***
## Residuals 3 15.7 5.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20436.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6676.7 6676.7 1280.8 4.798e-05 ***
## Residuals 3 15.6 5.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20406.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6657.0 6657.0 1280.7 4.798e-05 ***
## Residuals 3 15.6 5.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20376.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6637.3 6637.3 1280.6 4.799e-05 ***
## Residuals 3 15.5 5.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20345.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6617.6 6617.6 1280.6 4.799e-05 ***
## Residuals 3 15.5 5.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20315.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6597.9 6597.9 1280.5 4.8e-05 ***
## Residuals 3 15.5 5.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20285.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6578.3 6578.3 1280.4 4.8e-05 ***
## Residuals 3 15.4 5.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20255.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6558.7 6558.7 1280.3 4.801e-05 ***
## Residuals 3 15.4 5.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20224.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6539.1 6539.1 1280.1 4.801e-05 ***
## Residuals 3 15.3 5.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20194.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6519.6 6519.6 1280 4.802e-05 ***
## Residuals 3 15.3 5.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20164.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6500.1 6500.1 1279.9 4.803e-05 ***
## Residuals 3 15.2 5.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20134.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6480.6 6480.6 1279.8 4.804e-05 ***
## Residuals 3 15.2 5.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20103.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6461.1 6461.1 1279.6 4.804e-05 ***
## Residuals 3 15.1 5.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20073.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6441.7 6441.7 1279.5 4.805e-05 ***
## Residuals 3 15.1 5.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20043.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6422.3 6422.3 1279.3 4.806e-05 ***
## Residuals 3 15.1 5.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -20013.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6402.9 6402.9 1279.1 4.807e-05 ***
## Residuals 3 15.0 5.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19982.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6383.6 6383.6 1278.9 4.808e-05 ***
## Residuals 3 15.0 5.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19952.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6364.3 6364.3 1278.8 4.809e-05 ***
## Residuals 3 14.9 5.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19922.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6345.0 6345 1278.6 4.81e-05 ***
## Residuals 3 14.9 5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19892.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6325.7 6325.7 1278.4 4.811e-05 ***
## Residuals 3 14.8 4.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19861.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6306.5 6306.5 1278.2 4.813e-05 ***
## Residuals 3 14.8 4.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19831.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6287.3 6287.3 1277.9 4.814e-05 ***
## Residuals 3 14.8 4.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19801.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6268.2 6268.2 1277.7 4.815e-05 ***
## Residuals 3 14.7 4.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19771.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6249.0 6249.0 1277.5 4.816e-05 ***
## Residuals 3 14.7 4.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19740.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6229.9 6229.9 1277.2 4.818e-05 ***
## Residuals 3 14.6 4.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19710.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6210.8 6210.8 1277 4.819e-05 ***
## Residuals 3 14.6 4.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19680.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6191.8 6191.8 1276.7 4.821e-05 ***
## Residuals 3 14.5 4.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19650.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6172.8 6172.8 1276.5 4.822e-05 ***
## Residuals 3 14.5 4.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19619.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6153.8 6153.8 1276.2 4.824e-05 ***
## Residuals 3 14.5 4.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19589.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6134.8 6134.8 1275.9 4.825e-05 ***
## Residuals 3 14.4 4.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19559.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6115.9 6115.9 1275.6 4.827e-05 ***
## Residuals 3 14.4 4.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19529.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6097.0 6097.0 1275.3 4.829e-05 ***
## Residuals 3 14.3 4.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19498.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6078.1 6078.1 1275 4.83e-05 ***
## Residuals 3 14.3 4.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19468.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6059.3 6059.3 1274.7 4.832e-05 ***
## Residuals 3 14.3 4.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19438.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6040.5 6040.5 1274.3 4.834e-05 ***
## Residuals 3 14.2 4.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19408.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6021.7 6021.7 1274 4.836e-05 ***
## Residuals 3 14.2 4.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19377.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6002.9 6002.9 1273.6 4.838e-05 ***
## Residuals 3 14.1 4.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19347.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5984.2 5984.2 1273.3 4.84e-05 ***
## Residuals 3 14.1 4.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19317.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5965.5 5965.5 1272.9 4.842e-05 ***
## Residuals 3 14.1 4.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19287.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5946.9 5946.9 1272.5 4.844e-05 ***
## Residuals 3 14.0 4.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19256.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5928.2 5928.2 1272.2 4.847e-05 ***
## Residuals 3 14.0 4.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19226.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5909.6 5909.6 1271.8 4.849e-05 ***
## Residuals 3 13.9 4.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19196.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5891.0 5891.0 1271.4 4.851e-05 ***
## Residuals 3 13.9 4.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19166.23
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5872.5 5872.5 1270.9 4.853e-05 ***
## Residuals 3 13.9 4.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19135.99
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5854.0 5854.0 1270.5 4.856e-05 ***
## Residuals 3 13.8 4.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19105.74
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5835.5 5835.5 1270.1 4.858e-05 ***
## Residuals 3 13.8 4.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19075.49
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5817.0 5817.0 1269.6 4.861e-05 ***
## Residuals 3 13.7 4.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19045.25
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5798.6 5798.6 1269.2 4.864e-05 ***
## Residuals 3 13.7 4.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -19015
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5780.2 5780.2 1268.7 4.866e-05 ***
## Residuals 3 13.7 4.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18984.75
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5761.8 5761.8 1268.3 4.869e-05 ***
## Residuals 3 13.6 4.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18954.51
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5743.5 5743.5 1267.8 4.872e-05 ***
## Residuals 3 13.6 4.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18924.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5725.1 5725.1 1267.3 4.875e-05 ***
## Residuals 3 13.6 4.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18894.01
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5706.8 5706.8 1266.8 4.877e-05 ***
## Residuals 3 13.5 4.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18863.77
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5688.6 5688.6 1266.3 4.88e-05 ***
## Residuals 3 13.5 4.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18833.52
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5670.4 5670.4 1265.7 4.883e-05 ***
## Residuals 3 13.4 4.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18803.27
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5652.2 5652.2 1265.2 4.887e-05 ***
## Residuals 3 13.4 4.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18773.03
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5634.0 5634.0 1264.6 4.89e-05 ***
## Residuals 3 13.4 4.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18742.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5615.9 5615.9 1264.1 4.893e-05 ***
## Residuals 3 13.3 4.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18712.53
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5597.7 5597.7 1263.5 4.896e-05 ***
## Residuals 3 13.3 4.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18682.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5579.7 5579.7 1262.9 4.9e-05 ***
## Residuals 3 13.3 4.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18652.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5561.6 5561.6 1262.4 4.903e-05 ***
## Residuals 3 13.2 4.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18621.79
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5543.6 5543.6 1261.7 4.907e-05 ***
## Residuals 3 13.2 4.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18591.55
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5525.6 5525.6 1261.1 4.91e-05 ***
## Residuals 3 13.1 4.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18561.3
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5507.6 5507.6 1260.5 4.914e-05 ***
## Residuals 3 13.1 4.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18531.05
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5489.7 5489.7 1259.9 4.917e-05 ***
## Residuals 3 13.1 4.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18500.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5471.8 5471.8 1259.2 4.921e-05 ***
## Residuals 3 13.0 4.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18470.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5453.9 5453.9 1258.6 4.925e-05 ***
## Residuals 3 13.0 4.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18440.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5436.1 5436.1 1257.9 4.929e-05 ***
## Residuals 3 13.0 4.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18410.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5418.2 5418.2 1257.2 4.933e-05 ***
## Residuals 3 12.9 4.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18379.82
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5400.5 5400.5 1256.5 4.937e-05 ***
## Residuals 3 12.9 4.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18349.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5382.7 5382.7 1255.8 4.941e-05 ***
## Residuals 3 12.9 4.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18319.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5365.0 5365.0 1255.1 4.945e-05 ***
## Residuals 3 12.8 4.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18289.08
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5347.3 5347.3 1254.4 4.95e-05 ***
## Residuals 3 12.8 4.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18258.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5329.6 5329.6 1253.7 4.954e-05 ***
## Residuals 3 12.8 4.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18228.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5311.9 5311.9 1252.9 4.958e-05 ***
## Residuals 3 12.7 4.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18198.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5294.3 5294.3 1252.2 4.963e-05 ***
## Residuals 3 12.7 4.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18168.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5276.8 5276.8 1251.4 4.968e-05 ***
## Residuals 3 12.7 4.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18137.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5259.2 5259.2 1250.6 4.972e-05 ***
## Residuals 3 12.6 4.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18107.6
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5241.7 5241.7 1249.8 4.977e-05 ***
## Residuals 3 12.6 4.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18077.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5224.2 5224.2 1249 4.982e-05 ***
## Residuals 3 12.5 4.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18047.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5206.7 5206.7 1248.2 4.987e-05 ***
## Residuals 3 12.5 4.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -18016.86
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5189.3 5189.3 1247.3 4.992e-05 ***
## Residuals 3 12.5 4.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17986.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5171.9 5171.9 1246.5 4.997e-05 ***
## Residuals 3 12.4 4.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17956.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5154.5 5154.5 1245.6 5.002e-05 ***
## Residuals 3 12.4 4.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17926.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5137.1 5137.1 1244.8 5.007e-05 ***
## Residuals 3 12.4 4.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17895.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5119.8 5119.8 1243.9 5.012e-05 ***
## Residuals 3 12.3 4.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17865.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5102.5 5102.5 1243 5.018e-05 ***
## Residuals 3 12.3 4.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17835.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5085.3 5085.3 1242.1 5.023e-05 ***
## Residuals 3 12.3 4.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17805.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5068.0 5068.0 1241.1 5.029e-05 ***
## Residuals 3 12.3 4.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17774.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5050.8 5050.8 1240.2 5.035e-05 ***
## Residuals 3 12.2 4.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17744.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5033.6 5033.6 1239.3 5.04e-05 ***
## Residuals 3 12.2 4.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17714.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5016.5 5016.5 1238.3 5.046e-05 ***
## Residuals 3 12.2 4.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17684.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4999.4 4999.4 1237.3 5.052e-05 ***
## Residuals 3 12.1 4.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17653.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4982.3 4982.3 1236.3 5.058e-05 ***
## Residuals 3 12.1 4.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17623.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4965.2 4965.2 1235.3 5.064e-05 ***
## Residuals 3 12.1 4.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17593.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4948.2 4948.2 1234.3 5.071e-05 ***
## Residuals 3 12.0 4.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17563.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4931.2 4931.2 1233.3 5.077e-05 ***
## Residuals 3 12.0 4.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17532.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4914.2 4914.2 1232.2 5.083e-05 ***
## Residuals 3 12.0 4.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17502.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4897.3 4897.3 1231.2 5.09e-05 ***
## Residuals 3 11.9 4.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17472.42
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4880.4 4880.4 1230.1 5.097e-05 ***
## Residuals 3 11.9 4.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17442.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4863.5 4863.5 1229 5.103e-05 ***
## Residuals 3 11.9 4.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17411.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4846.6 4846.6 1228 5.11e-05 ***
## Residuals 3 11.8 3.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17381.68
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4829.8 4829.8 1226.8 5.117e-05 ***
## Residuals 3 11.8 3.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17351.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4813.0 4813.0 1225.7 5.124e-05 ***
## Residuals 3 11.8 3.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17321.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4796.3 4796.3 1224.6 5.131e-05 ***
## Residuals 3 11.7 3.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17290.94
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4779.5 4779.5 1223.4 5.138e-05 ***
## Residuals 3 11.7 3.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17260.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4762.8 4762.8 1222.3 5.146e-05 ***
## Residuals 3 11.7 3.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17230.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4746.1 4746.1 1221.1 5.153e-05 ***
## Residuals 3 11.7 3.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17200.2
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4729.5 4729.5 1219.9 5.161e-05 ***
## Residuals 3 11.6 3.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17169.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4712.9 4712.9 1218.7 5.168e-05 ***
## Residuals 3 11.6 3.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17139.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4696.3 4696.3 1217.5 5.176e-05 ***
## Residuals 3 11.6 3.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17109.46
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4679.7 4679.7 1216.2 5.184e-05 ***
## Residuals 3 11.5 3.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17079.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4663.2 4663.2 1215 5.192e-05 ***
## Residuals 3 11.5 3.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17048.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4646.7 4646.7 1213.7 5.2e-05 ***
## Residuals 3 11.5 3.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -17018.72
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4630.2 4630.2 1212.4 5.208e-05 ***
## Residuals 3 11.5 3.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16988.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4613.8 4613.8 1211.1 5.217e-05 ***
## Residuals 3 11.4 3.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16958.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4597.4 4597.4 1209.8 5.225e-05 ***
## Residuals 3 11.4 3.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16927.98
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4581.0 4581.0 1208.5 5.234e-05 ***
## Residuals 3 11.4 3.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16897.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4564.6 4564.6 1207.2 5.242e-05 ***
## Residuals 3 11.3 3.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16867.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4548.3 4548.3 1205.8 5.251e-05 ***
## Residuals 3 11.3 3.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16837.24
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4532.0 4532.0 1204.4 5.26e-05 ***
## Residuals 3 11.3 3.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16806.99
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4515.7 4515.7 1203.1 5.269e-05 ***
## Residuals 3 11.3 3.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16776.74
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4499.5 4499.5 1201.7 5.278e-05 ***
## Residuals 3 11.2 3.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16746.5
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4483.3 4483.3 1200.3 5.288e-05 ***
## Residuals 3 11.2 3.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16716.25
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4467.1 4467.1 1198.8 5.297e-05 ***
## Residuals 3 11.2 3.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16686
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4450.9 4450.9 1197.4 5.307e-05 ***
## Residuals 3 11.2 3.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16655.76
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4434.8 4434.8 1195.9 5.316e-05 ***
## Residuals 3 11.1 3.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16625.51
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4418.7 4418.7 1194.5 5.326e-05 ***
## Residuals 3 11.1 3.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16595.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4402.7 4402.7 1193 5.336e-05 ***
## Residuals 3 11.1 3.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16565.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4386.6 4386.6 1191.5 5.346e-05 ***
## Residuals 3 11.0 3.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16534.77
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4370.6 4370.6 1189.9 5.356e-05 ***
## Residuals 3 11.0 3.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16504.52
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4354.7 4354.7 1188.4 5.367e-05 ***
## Residuals 3 11.0 3.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16474.28
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4338.7 4338.7 1186.9 5.377e-05 ***
## Residuals 3 11.0 3.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16444.03
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4322.8 4322.8 1185.3 5.388e-05 ***
## Residuals 3 10.9 3.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16413.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4306.9 4306.9 1183.7 5.399e-05 ***
## Residuals 3 10.9 3.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16383.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4291.0 4291.0 1182.1 5.41e-05 ***
## Residuals 3 10.9 3.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16353.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4275.2 4275.2 1180.5 5.421e-05 ***
## Residuals 3 10.9 3.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16323.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4259.4 4259.4 1178.9 5.432e-05 ***
## Residuals 3 10.8 3.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16292.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4243.6 4243.6 1177.2 5.443e-05 ***
## Residuals 3 10.8 3.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16262.55
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4227.9 4227.9 1175.6 5.455e-05 ***
## Residuals 3 10.8 3.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16232.3
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4212.2 4212.2 1173.9 5.466e-05 ***
## Residuals 3 10.8 3.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16202.05
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4196.5 4196.5 1172.2 5.478e-05 ***
## Residuals 3 10.7 3.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16171.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4180.9 4180.9 1170.5 5.49e-05 ***
## Residuals 3 10.7 3.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16141.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4165.2 4165.2 1168.8 5.502e-05 ***
## Residuals 3 10.7 3.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16111.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4149.6 4149.6 1167 5.514e-05 ***
## Residuals 3 10.7 3.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16081.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4134.1 4134.1 1165.3 5.527e-05 ***
## Residuals 3 10.6 3.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16050.82
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4118.5 4118.5 1163.5 5.54e-05 ***
## Residuals 3 10.6 3.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -16020.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4103.0 4103.0 1161.7 5.552e-05 ***
## Residuals 3 10.6 3.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15990.33
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4087.5 4087.5 1159.9 5.565e-05 ***
## Residuals 3 10.6 3.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15960.08
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4072.1 4072.1 1158.1 5.578e-05 ***
## Residuals 3 10.5 3.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15929.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4056.7 4056.7 1156.3 5.592e-05 ***
## Residuals 3 10.5 3.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15899.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4041.3 4041.3 1154.4 5.605e-05 ***
## Residuals 3 10.5 3.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15869.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4025.9 4025.9 1152.5 5.619e-05 ***
## Residuals 3 10.5 3.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15839.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4010.6 4010.6 1150.7 5.632e-05 ***
## Residuals 3 10.5 3.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15808.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3995.3 3995.3 1148.8 5.646e-05 ***
## Residuals 3 10.4 3.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15778.6
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3980.0 3980.0 1146.8 5.66e-05 ***
## Residuals 3 10.4 3.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15748.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3964.8 3964.8 1144.9 5.675e-05 ***
## Residuals 3 10.4 3.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15718.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3949.6 3949.6 1143 5.689e-05 ***
## Residuals 3 10.4 3.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15687.86
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3934.4 3934.4 1141 5.704e-05 ***
## Residuals 3 10.3 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15657.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3919.2 3919.2 1139 5.719e-05 ***
## Residuals 3 10.3 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15627.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3904.1 3904.1 1137 5.734e-05 ***
## Residuals 3 10.3 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15597.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3889.0 3889.0 1135 5.749e-05 ***
## Residuals 3 10.3 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15566.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3873.9 3873.9 1133 5.765e-05 ***
## Residuals 3 10.3 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15536.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3858.9 3858.9 1130.9 5.78e-05 ***
## Residuals 3 10.2 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15506.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3843.9 3843.9 1128.9 5.796e-05 ***
## Residuals 3 10.2 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15476.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3828.9 3828.9 1126.8 5.812e-05 ***
## Residuals 3 10.2 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15445.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3813.9 3813.9 1124.7 5.828e-05 ***
## Residuals 3 10.2 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15415.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3799.0 3799.0 1122.6 5.845e-05 ***
## Residuals 3 10.2 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15385.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3784.1 3784.1 1120.4 5.861e-05 ***
## Residuals 3 10.1 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15355.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3769.3 3769.3 1118.3 5.878e-05 ***
## Residuals 3 10.1 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15324.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3754.4 3754.4 1116.1 5.895e-05 ***
## Residuals 3 10.1 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15294.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3739.6 3739.6 1113.9 5.913e-05 ***
## Residuals 3 10.1 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15264.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3724.8 3724.8 1111.7 5.93e-05 ***
## Residuals 3 10.1 3.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15234.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3710.1 3710.1 1109.5 5.948e-05 ***
## Residuals 3 10.0 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15203.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3695.4 3695.4 1107.3 5.966e-05 ***
## Residuals 3 10.0 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15173.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3680.7 3680.7 1105.1 5.984e-05 ***
## Residuals 3 10.0 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15143.42
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3666 3666.0 1102.8 6.002e-05 ***
## Residuals 3 10 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15113.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3651.4 3651.4 1100.5 6.021e-05 ***
## Residuals 3 10.0 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15082.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3636.8 3636.8 1098.2 6.04e-05 ***
## Residuals 3 9.9 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15052.68
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3622.2 3622.2 1095.9 6.059e-05 ***
## Residuals 3 9.9 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -15022.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3607.7 3607.7 1093.6 6.078e-05 ***
## Residuals 3 9.9 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14992.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3593.2 3593.2 1091.2 6.098e-05 ***
## Residuals 3 9.9 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14961.94
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3578.7 3578.7 1088.9 6.118e-05 ***
## Residuals 3 9.9 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14931.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3564.2 3564.2 1086.5 6.138e-05 ***
## Residuals 3 9.8 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14901.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3549.8 3549.8 1084.1 6.158e-05 ***
## Residuals 3 9.8 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14871.2
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3535.4 3535.4 1081.7 6.178e-05 ***
## Residuals 3 9.8 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14840.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3521.0 3521.0 1079.3 6.199e-05 ***
## Residuals 3 9.8 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14810.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3506.7 3506.7 1076.8 6.22e-05 ***
## Residuals 3 9.8 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14780.46
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3492.4 3492.4 1074.4 6.242e-05 ***
## Residuals 3 9.8 3.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14750.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3478.1 3478.1 1071.9 6.263e-05 ***
## Residuals 3 9.7 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14719.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3463.9 3463.9 1069.4 6.285e-05 ***
## Residuals 3 9.7 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14689.72
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3449.6 3449.6 1066.9 6.307e-05 ***
## Residuals 3 9.7 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14659.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3435.5 3435.5 1064.3 6.33e-05 ***
## Residuals 3 9.7 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14629.23
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3421.3 3421.3 1061.8 6.352e-05 ***
## Residuals 3 9.7 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14598.98
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3407.2 3407.2 1059.2 6.375e-05 ***
## Residuals 3 9.6 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14568.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3393.1 3393.1 1056.7 6.399e-05 ***
## Residuals 3 9.6 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14538.49
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3379.0 3379.0 1054.1 6.422e-05 ***
## Residuals 3 9.6 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14508.24
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3364.9 3364.9 1051.5 6.446e-05 ***
## Residuals 3 9.6 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14477.99
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3350.9 3350.9 1048.9 6.47e-05 ***
## Residuals 3 9.6 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14447.75
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3336.9 3336.9 1046.2 6.494e-05 ***
## Residuals 3 9.6 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14417.5
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3323.0 3323.0 1043.6 6.519e-05 ***
## Residuals 3 9.6 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14387.25
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3309.1 3309.1 1040.9 6.544e-05 ***
## Residuals 3 9.5 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14357.01
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3295.2 3295.2 1038.2 6.57e-05 ***
## Residuals 3 9.5 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14326.76
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3281.3 3281.3 1035.5 6.595e-05 ***
## Residuals 3 9.5 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14296.51
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3267.4 3267.4 1032.8 6.621e-05 ***
## Residuals 3 9.5 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14266.27
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3253.6 3253.6 1030.1 6.648e-05 ***
## Residuals 3 9.5 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14236.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3239.9 3239.9 1027.3 6.674e-05 ***
## Residuals 3 9.5 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14205.77
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3226.1 3226.1 1024.5 6.701e-05 ***
## Residuals 3 9.4 3.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14175.53
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3212.4 3212.4 1021.8 6.728e-05 ***
## Residuals 3 9.4 3.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14145.28
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3198.7 3198.7 1019 6.756e-05 ***
## Residuals 3 9.4 3.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14115.03
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3185.0 3185.0 1016.2 6.784e-05 ***
## Residuals 3 9.4 3.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14084.79
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3171.4 3171.4 1013.3 6.812e-05 ***
## Residuals 3 9.4 3.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14054.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3157.77 3157.77 1010.5 6.841e-05 ***
## Residuals 3 9.37 3.12
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -14024.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3144.20 3144.20 1007.6 6.87e-05 ***
## Residuals 3 9.36 3.12
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13994.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3130.65 3130.65 1004.8 6.9e-05 ***
## Residuals 3 9.35 3.12
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13963.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3117.13 3117.13 1001.9 6.929e-05 ***
## Residuals 3 9.33 3.11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13933.55
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3103.64 3103.64 998.98 6.959e-05 ***
## Residuals 3 9.32 3.11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13903.3
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3090.18 3090.2 996.06 6.99e-05 ***
## Residuals 3 9.31 3.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13873.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3076.75 3076.8 993.13 7.021e-05 ***
## Residuals 3 9.29 3.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13842.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3063.35 3063.35 990.18 7.052e-05 ***
## Residuals 3 9.28 3.09
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13812.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3049.98 3049.98 987.22 7.084e-05 ***
## Residuals 3 9.27 3.09
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13782.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3036.63 3036.63 984.25 7.116e-05 ***
## Residuals 3 9.26 3.09
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13752.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3023.32 3023.32 981.26 7.148e-05 ***
## Residuals 3 9.24 3.08
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13721.82
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3010.04 3010.04 978.25 7.181e-05 ***
## Residuals 3 9.23 3.08
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13691.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2996.78 2996.78 975.23 7.215e-05 ***
## Residuals 3 9.22 3.07
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13661.33
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2983.55 2983.55 972.2 7.248e-05 ***
## Residuals 3 9.21 3.07
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13631.08
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2970.36 2970.36 969.15 7.282e-05 ***
## Residuals 3 9.19 3.06
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13600.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2957.19 2957.19 966.09 7.317e-05 ***
## Residuals 3 9.18 3.06
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13570.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2944.05 2944.05 963.02 7.352e-05 ***
## Residuals 3 9.17 3.06
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13540.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2930.94 2930.94 959.93 7.387e-05 ***
## Residuals 3 9.16 3.05
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13510.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2917.86 2917.86 956.82 7.423e-05 ***
## Residuals 3 9.15 3.05
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13479.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2904.81 2904.81 953.71 7.46e-05 ***
## Residuals 3 9.14 3.05
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13449.6
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2891.79 2891.79 950.58 7.496e-05 ***
## Residuals 3 9.13 3.04
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13419.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2878.80 2878.80 947.43 7.534e-05 ***
## Residuals 3 9.12 3.04
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13389.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2865.8 2865.84 944.28 7.571e-05 ***
## Residuals 3 9.1 3.03
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13358.86
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2852.90 2852.90 941.11 7.609e-05 ***
## Residuals 3 9.09 3.03
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13328.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2840.00 2840.00 937.92 7.648e-05 ***
## Residuals 3 9.08 3.03
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13298.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2827.12 2827.12 934.73 7.687e-05 ***
## Residuals 3 9.07 3.02
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13268.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2814.28 2814.28 931.52 7.727e-05 ***
## Residuals 3 9.06 3.02
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13237.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2801.46 2801.46 928.3 7.767e-05 ***
## Residuals 3 9.05 3.02
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13207.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2788.67 2788.67 925.06 7.808e-05 ***
## Residuals 3 9.04 3.01
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13177.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2775.92 2775.92 921.82 7.849e-05 ***
## Residuals 3 9.03 3.01
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13147.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2763.19 2763.19 918.56 7.891e-05 ***
## Residuals 3 9.02 3.01
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13116.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2750.49 2750.49 915.28 7.933e-05 ***
## Residuals 3 9.02 3.01
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13086.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2737.82 2737.8 912 7.976e-05 ***
## Residuals 3 9.01 3.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13056.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2725.2 2725.2 908.7 8.019e-05 ***
## Residuals 3 9.0 3.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -13026.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2712.56 2712.6 905.39 8.063e-05 ***
## Residuals 3 8.99 3.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12995.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2699.98 2699.98 902.07 8.107e-05 ***
## Residuals 3 8.98 2.99
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12965.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2687.43 2687.43 898.74 8.152e-05 ***
## Residuals 3 8.97 2.99
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12935.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2674.90 2674.90 895.4 8.198e-05 ***
## Residuals 3 8.96 2.99
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12905.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2662.41 2662.41 892.05 8.244e-05 ***
## Residuals 3 8.95 2.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12874.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2649.94 2649.94 888.68 8.291e-05 ***
## Residuals 3 8.95 2.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12844.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2637.51 2637.51 885.3 8.338e-05 ***
## Residuals 3 8.94 2.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12814.42
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2625.10 2625.10 881.91 8.386e-05 ***
## Residuals 3 8.93 2.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12784.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2612.72 2612.72 878.52 8.435e-05 ***
## Residuals 3 8.92 2.97
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12753.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2600.38 2600.38 875.11 8.484e-05 ***
## Residuals 3 8.91 2.97
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12723.68
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2588.06 2588.06 871.69 8.534e-05 ***
## Residuals 3 8.91 2.97
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12693.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2575.8 2575.77 868.26 8.584e-05 ***
## Residuals 3 8.9 2.97
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12663.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2563.51 2563.51 864.81 8.635e-05 ***
## Residuals 3 8.89 2.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12632.94
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2551.27 2551.27 861.36 8.687e-05 ***
## Residuals 3 8.89 2.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12602.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2539.07 2539.07 857.9 8.74e-05 ***
## Residuals 3 8.88 2.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12572.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2526.90 2526.90 854.43 8.793e-05 ***
## Residuals 3 8.87 2.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12542.2
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2514.75 2514.75 850.95 8.847e-05 ***
## Residuals 3 8.87 2.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12511.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2502.64 2502.64 847.46 8.901e-05 ***
## Residuals 3 8.86 2.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12481.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2490.55 2490.55 843.96 8.956e-05 ***
## Residuals 3 8.85 2.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12451.46
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2478.50 2478.50 840.45 9.012e-05 ***
## Residuals 3 8.85 2.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12421.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2466.47 2466.47 836.94 9.069e-05 ***
## Residuals 3 8.84 2.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12390.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2454.47 2454.47 833.41 9.127e-05 ***
## Residuals 3 8.84 2.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12360.72
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2442.51 2442.51 829.87 9.185e-05 ***
## Residuals 3 8.83 2.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12330.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2430.57 2430.57 826.33 9.244e-05 ***
## Residuals 3 8.82 2.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12300.23
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2418.66 2418.66 822.78 9.304e-05 ***
## Residuals 3 8.82 2.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12269.98
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2406.78 2406.78 819.22 9.364e-05 ***
## Residuals 3 8.81 2.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12239.74
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2394.93 2394.93 815.65 9.425e-05 ***
## Residuals 3 8.81 2.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12209.49
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2383.1 2383.10 812.07 9.488e-05 ***
## Residuals 3 8.8 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12179.24
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2371.3 2371.31 808.49 9.551e-05 ***
## Residuals 3 8.8 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12149
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2359.55 2359.55 804.9 9.614e-05 ***
## Residuals 3 8.79 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12118.75
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2347.81 2347.81 801.3 9.679e-05 ***
## Residuals 3 8.79 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12088.5
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2336.11 2336.11 797.69 9.745e-05 ***
## Residuals 3 8.79 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12058.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2324.43 2324.43 794.08 9.811e-05 ***
## Residuals 3 8.78 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -12028.01
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2312.79 2312.79 790.46 9.878e-05 ***
## Residuals 3 8.78 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11997.76
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2301.17 2301.17 786.83 9.946e-05 ***
## Residuals 3 8.77 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11967.52
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2289.58 2289.58 783.2 0.0001002 ***
## Residuals 3 8.77 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11937.27
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2278.02 2278.02 779.56 0.0001009 ***
## Residuals 3 8.77 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11907.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2266.49 2266.49 775.91 0.0001016 ***
## Residuals 3 8.76 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11876.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2254.99 2254.99 772.26 0.0001023 ***
## Residuals 3 8.76 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11846.53
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2243.52 2243.52 768.6 0.000103 ***
## Residuals 3 8.76 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11816.28
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2232.08 2232.08 764.94 0.0001038 ***
## Residuals 3 8.75 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11786.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2220.67 2220.67 761.27 0.0001045 ***
## Residuals 3 8.75 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11755.79
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2209.28 2209.28 757.6 0.0001053 ***
## Residuals 3 8.75 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11725.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2197.93 2197.93 753.92 0.000106 ***
## Residuals 3 8.75 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11695.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2186.60 2186.60 750.24 0.0001068 ***
## Residuals 3 8.74 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11665.05
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2175.31 2175.31 746.55 0.0001076 ***
## Residuals 3 8.74 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11634.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2164.04 2164.04 742.85 0.0001084 ***
## Residuals 3 8.74 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11604.55
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2152.81 2152.81 739.16 0.0001092 ***
## Residuals 3 8.74 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11574.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2141.60 2141.60 735.46 0.00011 ***
## Residuals 3 8.74 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11544.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2130.42 2130.42 731.75 0.0001109 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11513.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2119.27 2119.27 728.04 0.0001117 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11483.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2108.15 2108.15 724.33 0.0001126 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11453.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2097.06 2097.06 720.61 0.0001134 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11423.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2086.00 2086.00 716.89 0.0001143 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11392.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2074.97 2074.97 713.17 0.0001152 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11362.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2063.96 2063.96 709.45 0.0001161 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11332.33
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2052.99 2052.99 705.72 0.000117 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11302.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2042.04 2042.04 701.99 0.000118 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11271.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2031.13 2031.13 698.26 0.0001189 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11241.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2020.24 2020.24 694.52 0.0001199 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11211.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2009.39 2009.39 690.78 0.0001208 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11181.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1998.56 1998.56 687.05 0.0001218 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11150.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1987.76 1987.76 683.31 0.0001228 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11120.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1976.99 1976.99 679.57 0.0001238 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11090.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1966.25 1966.25 675.82 0.0001249 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11060.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1955.54 1955.54 672.08 0.0001259 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -11029.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1944.86 1944.86 668.34 0.000127 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10999.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1934.21 1934.21 664.59 0.000128 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10969.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1923.59 1923.59 660.85 0.0001291 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10939.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1912.99 1912.99 657.11 0.0001302 ***
## Residuals 3 8.73 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10908.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1902.43 1902.43 653.36 0.0001313 ***
## Residuals 3 8.74 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10878.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1891.89 1891.89 649.62 0.0001325 ***
## Residuals 3 8.74 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10848.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1881.39 1881.39 645.87 0.0001336 ***
## Residuals 3 8.74 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10818.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1870.91 1870.91 642.13 0.0001348 ***
## Residuals 3 8.74 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10787.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1860.46 1860.46 638.39 0.000136 ***
## Residuals 3 8.74 2.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10757.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1850.05 1850.05 634.65 0.0001372 ***
## Residuals 3 8.75 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10727.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1839.66 1839.66 630.91 0.0001384 ***
## Residuals 3 8.75 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10697.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1829.30 1829.30 627.17 0.0001396 ***
## Residuals 3 8.75 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10666.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1818.97 1818.97 623.43 0.0001409 ***
## Residuals 3 8.75 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10636.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1808.67 1808.67 619.7 0.0001421 ***
## Residuals 3 8.76 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10606.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1798.39 1798.39 615.96 0.0001434 ***
## Residuals 3 8.76 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10576.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1788.15 1788.15 612.23 0.0001447 ***
## Residuals 3 8.76 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10545.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1777.94 1777.94 608.5 0.0001461 ***
## Residuals 3 8.77 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10515.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1767.76 1767.76 604.78 0.0001474 ***
## Residuals 3 8.77 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10485.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1757.60 1757.60 601.05 0.0001488 ***
## Residuals 3 8.77 2.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10455.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1747.47 1747.47 597.33 0.0001502 ***
## Residuals 3 8.78 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10424.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1737.38 1737.38 593.62 0.0001516 ***
## Residuals 3 8.78 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10394.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1727.31 1727.31 589.9 0.000153 ***
## Residuals 3 8.78 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10364.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1717.27 1717.27 586.19 0.0001544 ***
## Residuals 3 8.79 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10334.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1707.27 1707.27 582.48 0.0001559 ***
## Residuals 3 8.79 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10303.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1697.3 1697.29 578.78 0.0001574 ***
## Residuals 3 8.8 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10273.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1687.3 1687.34 575.08 0.0001589 ***
## Residuals 3 8.8 2.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10243.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1677.42 1677.42 571.39 0.0001605 ***
## Residuals 3 8.81 2.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10213.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1667.52 1667.52 567.7 0.000162 ***
## Residuals 3 8.81 2.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10182.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1657.66 1657.66 564.01 0.0001636 ***
## Residuals 3 8.82 2.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10152.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1647.83 1647.83 560.33 0.0001652 ***
## Residuals 3 8.82 2.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10122.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1638.03 1638.03 556.65 0.0001668 ***
## Residuals 3 8.83 2.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10092.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1628.25 1628.25 552.98 0.0001685 ***
## Residuals 3 8.83 2.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10061.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1618.51 1618.51 549.32 0.0001702 ***
## Residuals 3 8.84 2.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10031.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1608.79 1608.79 545.66 0.0001719 ***
## Residuals 3 8.85 2.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -10001.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1599.10 1599.10 542 0.0001736 ***
## Residuals 3 8.85 2.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9971.232
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1589.45 1589.45 538.35 0.0001754 ***
## Residuals 3 8.86 2.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9940.986
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1579.82 1579.82 534.71 0.0001772 ***
## Residuals 3 8.86 2.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9910.739
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1570.22 1570.22 531.07 0.000179 ***
## Residuals 3 8.87 2.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9880.492
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1560.65 1560.65 527.44 0.0001808 ***
## Residuals 3 8.88 2.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9850.246
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1551.11 1551.11 523.82 0.0001827 ***
## Residuals 3 8.88 2.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9819.999
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1541.60 1541.60 520.2 0.0001846 ***
## Residuals 3 8.89 2.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9789.752
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1532.1 1532.11 516.59 0.0001865 ***
## Residuals 3 8.9 2.97
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9759.505
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1522.7 1522.66 512.99 0.0001885 ***
## Residuals 3 8.9 2.97
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9729.259
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1513.24 1513.24 509.39 0.0001905 ***
## Residuals 3 8.91 2.97
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9699.012
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1503.84 1503.84 505.8 0.0001925 ***
## Residuals 3 8.92 2.97
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9668.765
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1494.48 1494.48 502.22 0.0001945 ***
## Residuals 3 8.93 2.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9638.519
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1485.14 1485.14 498.64 0.0001966 ***
## Residuals 3 8.94 2.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9608.272
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1475.84 1475.84 495.08 0.0001988 ***
## Residuals 3 8.94 2.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9578.025
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1466.56 1466.56 491.52 0.0002009 ***
## Residuals 3 8.95 2.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9547.778
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1457.31 1457.31 487.97 0.0002031 ***
## Residuals 3 8.96 2.99
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9517.532
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1448.09 1448.09 484.43 0.0002053 ***
## Residuals 3 8.97 2.99
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9487.285
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1438.90 1438.90 480.89 0.0002076 ***
## Residuals 3 8.98 2.99
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9457.038
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1429.74 1429.7 477.37 0.0002099 ***
## Residuals 3 8.99 3.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9426.792
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1420.61 1420.6 473.85 0.0002122 ***
## Residuals 3 8.99 3.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9396.545
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1411.5 1411.5 470.34 0.0002146 ***
## Residuals 3 9.0 3.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9366.298
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1402.44 1402.4 466.85 0.000217 ***
## Residuals 3 9.01 3.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9336.051
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1393.40 1393.40 463.36 0.0002194 ***
## Residuals 3 9.02 3.01
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9305.805
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1384.38 1384.38 459.88 0.0002219 ***
## Residuals 3 9.03 3.01
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9275.558
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1375.40 1375.40 456.41 0.0002244 ***
## Residuals 3 9.04 3.01
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9245.311
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1366.44 1366.44 452.95 0.000227 ***
## Residuals 3 9.05 3.02
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9215.065
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1357.52 1357.52 449.49 0.0002296 ***
## Residuals 3 9.06 3.02
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9184.818
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1348.62 1348.62 446.05 0.0002322 ***
## Residuals 3 9.07 3.02
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9154.571
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1339.75 1339.75 442.62 0.0002349 ***
## Residuals 3 9.08 3.03
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9124.324
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1330.91 1330.91 439.2 0.0002376 ***
## Residuals 3 9.09 3.03
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9094.078
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1322.1 1322.10 435.79 0.0002404 ***
## Residuals 3 9.1 3.03
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9063.831
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1313.32 1313.32 432.39 0.0002433 ***
## Residuals 3 9.11 3.04
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9033.584
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1304.57 1304.57 429 0.0002461 ***
## Residuals 3 9.12 3.04
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -9003.338
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1295.85 1295.85 425.62 0.000249 ***
## Residuals 3 9.13 3.04
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8973.091
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1287.16 1287.16 422.25 0.000252 ***
## Residuals 3 9.14 3.05
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8942.844
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1278.50 1278.50 418.89 0.000255 ***
## Residuals 3 9.16 3.05
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8912.597
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1269.86 1269.86 415.55 0.0002581 ***
## Residuals 3 9.17 3.06
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8882.351
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1261.26 1261.26 412.21 0.0002612 ***
## Residuals 3 9.18 3.06
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8852.104
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1252.68 1252.68 408.89 0.0002644 ***
## Residuals 3 9.19 3.06
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8821.857
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1244.1 1244.14 405.58 0.0002676 ***
## Residuals 3 9.2 3.07
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8791.611
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1235.62 1235.62 402.27 0.0002709 ***
## Residuals 3 9.21 3.07
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8761.364
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1227.13 1227.13 398.98 0.0002742 ***
## Residuals 3 9.23 3.08
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8731.117
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1218.67 1218.67 395.71 0.0002776 ***
## Residuals 3 9.24 3.08
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8700.871
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1210.25 1210.25 392.44 0.0002811 ***
## Residuals 3 9.25 3.08
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8670.624
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1201.85 1201.85 389.19 0.0002846 ***
## Residuals 3 9.26 3.09
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8640.377
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1193.48 1193.48 385.95 0.0002882 ***
## Residuals 3 9.28 3.09
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8610.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1185.13 1185.1 382.72 0.0002918 ***
## Residuals 3 9.29 3.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8579.884
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1176.8 1176.8 379.5 0.0002955 ***
## Residuals 3 9.3 3.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8549.637
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1168.54 1168.54 376.29 0.0002993 ***
## Residuals 3 9.32 3.11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8519.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1160.29 1160.29 373.1 0.0003031 ***
## Residuals 3 9.33 3.11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8489.144
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1152.06 1152.06 369.92 0.000307 ***
## Residuals 3 9.34 3.11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8458.897
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1143.87 1143.87 366.75 0.0003109 ***
## Residuals 3 9.36 3.12
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8428.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1135.70 1135.70 363.6 0.000315 ***
## Residuals 3 9.37 3.12
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8398.403
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1127.56 1127.56 360.46 0.0003191 ***
## Residuals 3 9.38 3.13
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8368.157
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1119.5 1119.46 357.33 0.0003232 ***
## Residuals 3 9.4 3.13
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8337.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1111.38 1111.38 354.21 0.0003275 ***
## Residuals 3 9.41 3.14
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8307.663
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1103.33 1103.33 351.11 0.0003318 ***
## Residuals 3 9.43 3.14
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8277.417
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1095.31 1095.31 348.02 0.0003362 ***
## Residuals 3 9.44 3.15
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8247.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1087.32 1087.32 344.95 0.0003407 ***
## Residuals 3 9.46 3.15
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8216.923
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1079.36 1079.36 341.88 0.0003452 ***
## Residuals 3 9.47 3.16
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8186.676
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1071.43 1071.43 338.84 0.0003499 ***
## Residuals 3 9.49 3.16
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8156.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1063.5 1063.53 335.8 0.0003546 ***
## Residuals 3 9.5 3.17
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8126.183
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1055.65 1055.65 332.78 0.0003594 ***
## Residuals 3 9.52 3.17
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8095.936
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1047.81 1047.81 329.77 0.0003643 ***
## Residuals 3 9.53 3.18
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8065.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1039.99 1039.99 326.78 0.0003693 ***
## Residuals 3 9.55 3.18
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8035.443
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1032.21 1032.21 323.8 0.0003743 ***
## Residuals 3 9.56 3.19
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -8005.196
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1024.45 1024.45 320.83 0.0003795 ***
## Residuals 3 9.58 3.19
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7974.949
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1016.7 1016.7 317.88 0.0003848 ***
## Residuals 3 9.6 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7944.703
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1009.03 1009.0 314.94 0.0003901 ***
## Residuals 3 9.61 3.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7914.456
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1001.36 1001.36 312.02 0.0003956 ***
## Residuals 3 9.63 3.21
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7884.209
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 993.72 993.72 309.11 0.0004011 ***
## Residuals 3 9.64 3.21
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7853.963
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 986.11 986.11 306.21 0.0004068 ***
## Residuals 3 9.66 3.22
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7823.716
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 978.53 978.53 303.33 0.0004125 ***
## Residuals 3 9.68 3.23
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7793.469
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 970.98 970.98 300.46 0.0004184 ***
## Residuals 3 9.69 3.23
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7763.222
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 963.46 963.46 297.61 0.0004244 ***
## Residuals 3 9.71 3.24
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7732.976
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 955.96 955.96 294.77 0.0004305 ***
## Residuals 3 9.73 3.24
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7702.729
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 948.50 948.50 291.95 0.0004367 ***
## Residuals 3 9.75 3.25
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7672.482
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 941.07 941.07 289.14 0.000443 ***
## Residuals 3 9.76 3.25
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7642.236
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 933.66 933.66 286.35 0.0004495 ***
## Residuals 3 9.78 3.26
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7611.989
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 926.28 926.28 283.57 0.000456 ***
## Residuals 3 9.80 3.27
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7581.742
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 918.94 918.94 280.81 0.0004627 ***
## Residuals 3 9.82 3.27
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7551.495
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 911.62 911.62 278.06 0.0004695 ***
## Residuals 3 9.84 3.28
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7521.249
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 904.33 904.33 275.32 0.0004765 ***
## Residuals 3 9.85 3.28
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7491.002
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 897.07 897.07 272.6 0.0004836 ***
## Residuals 3 9.87 3.29
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7460.755
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 889.84 889.84 269.9 0.0004908 ***
## Residuals 3 9.89 3.30
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7430.509
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 882.64 882.64 267.21 0.0004982 ***
## Residuals 3 9.91 3.30
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7400.262
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 875.47 875.47 264.53 0.0005057 ***
## Residuals 3 9.93 3.31
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7370.015
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 868.33 868.33 261.87 0.0005133 ***
## Residuals 3 9.95 3.32
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7339.769
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 861.22 861.22 259.23 0.0005211 ***
## Residuals 3 9.97 3.32
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7309.522
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 854.13 854.13 256.6 0.0005291 ***
## Residuals 3 9.99 3.33
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7279.275
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 847.08 847.08 253.98 0.0005372 ***
## Residuals 3 10.01 3.34
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7249.028
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 840.05 840.05 251.38 0.0005455 ***
## Residuals 3 10.03 3.34
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7218.782
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 833.06 833.06 248.8 0.0005539 ***
## Residuals 3 10.04 3.35
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7188.535
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 826.09 826.09 246.23 0.0005625 ***
## Residuals 3 10.06 3.35
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7158.288
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 819.16 819.16 243.68 0.0005713 ***
## Residuals 3 10.08 3.36
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7128.042
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 812.25 812.25 241.14 0.0005803 ***
## Residuals 3 10.11 3.37
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7097.795
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 805.37 805.37 238.61 0.0005894 ***
## Residuals 3 10.13 3.38
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7067.548
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 798.52 798.52 236.11 0.0005987 ***
## Residuals 3 10.15 3.38
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7037.301
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 791.70 791.70 233.61 0.0006082 ***
## Residuals 3 10.17 3.39
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -7007.055
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 784.91 784.91 231.14 0.0006179 ***
## Residuals 3 10.19 3.40
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6976.808
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 778.15 778.15 228.68 0.0006278 ***
## Residuals 3 10.21 3.40
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6946.561
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 771.41 771.41 226.23 0.0006379 ***
## Residuals 3 10.23 3.41
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6916.315
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 764.71 764.71 223.8 0.0006483 ***
## Residuals 3 10.25 3.42
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6886.068
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 758.04 758.04 221.38 0.0006588 ***
## Residuals 3 10.27 3.42
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6855.821
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 751.39 751.39 218.98 0.0006695 ***
## Residuals 3 10.29 3.43
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6825.574
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 744.78 744.78 216.6 0.0006805 ***
## Residuals 3 10.32 3.44
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6795.328
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 738.19 738.19 214.23 0.0006917 ***
## Residuals 3 10.34 3.45
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6765.081
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 731.63 731.63 211.87 0.0007031 ***
## Residuals 3 10.36 3.45
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6734.834
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 725.11 725.11 209.53 0.0007148 ***
## Residuals 3 10.38 3.46
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6704.588
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 718.61 718.61 207.21 0.0007267 ***
## Residuals 3 10.40 3.47
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6674.341
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 712.14 712.14 204.9 0.0007389 ***
## Residuals 3 10.43 3.48
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6644.094
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 705.70 705.70 202.61 0.0007513 ***
## Residuals 3 10.45 3.48
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6613.847
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 699.29 699.29 200.33 0.000764 ***
## Residuals 3 10.47 3.49
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6583.601
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 692.91 692.91 198.07 0.000777 ***
## Residuals 3 10.49 3.50
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6553.354
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 686.55 686.55 195.83 0.0007902 ***
## Residuals 3 10.52 3.51
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6523.107
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 680.23 680.23 193.6 0.0008037 ***
## Residuals 3 10.54 3.51
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6492.861
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 673.94 673.94 191.38 0.0008176 ***
## Residuals 3 10.56 3.52
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6462.614
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 667.67 667.67 189.18 0.0008317 ***
## Residuals 3 10.59 3.53
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6432.367
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 661.44 661.44 187 0.0008461 ***
## Residuals 3 10.61 3.54
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6402.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 655.23 655.23 184.83 0.0008609 ***
## Residuals 3 10.64 3.55
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6371.874
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 649.06 649.06 182.67 0.0008759 ***
## Residuals 3 10.66 3.55
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6341.627
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 642.91 642.91 180.53 0.0008913 ***
## Residuals 3 10.68 3.56
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6311.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 636.79 636.79 178.41 0.0009071 ***
## Residuals 3 10.71 3.57
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6281.134
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 630.70 630.70 176.3 0.0009232 ***
## Residuals 3 10.73 3.58
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6250.887
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 624.64 624.64 174.21 0.0009396 ***
## Residuals 3 10.76 3.59
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6220.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 618.61 618.61 172.13 0.0009565 ***
## Residuals 3 10.78 3.59
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6190.393
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 612.61 612.61 170.07 0.0009737 ***
## Residuals 3 10.81 3.60
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6160.147
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 606.64 606.64 168.02 0.0009913 ***
## Residuals 3 10.83 3.61
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6129.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 600.70 600.70 165.99 0.001009 **
## Residuals 3 10.86 3.62
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6099.653
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 594.78 594.78 163.98 0.001028 **
## Residuals 3 10.88 3.63
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6069.407
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 588.90 588.90 161.98 0.001046 **
## Residuals 3 10.91 3.64
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6039.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 583.04 583.04 159.99 0.001066 **
## Residuals 3 10.93 3.64
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -6008.913
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 577.22 577.22 158.02 0.001085 **
## Residuals 3 10.96 3.65
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5978.666
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 571.42 571.42 156.06 0.001106 **
## Residuals 3 10.98 3.66
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5948.42
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 565.65 565.65 154.12 0.001126 **
## Residuals 3 11.01 3.67
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5918.173
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 559.92 559.92 152.2 0.001147 **
## Residuals 3 11.04 3.68
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5887.926
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 554.21 554.21 150.29 0.001169 **
## Residuals 3 11.06 3.69
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5857.68
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 548.53 548.53 148.39 0.001191 **
## Residuals 3 11.09 3.70
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5827.433
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 542.88 542.88 146.51 0.001214 **
## Residuals 3 11.12 3.71
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5797.186
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 537.26 537.26 144.64 0.001237 **
## Residuals 3 11.14 3.71
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5766.94
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 531.67 531.67 142.79 0.001261 **
## Residuals 3 11.17 3.72
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5736.693
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 526.1 526.10 140.96 0.001285 **
## Residuals 3 11.2 3.73
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5706.446
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 520.57 520.57 139.14 0.00131 **
## Residuals 3 11.22 3.74
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5676.199
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 515.07 515.07 137.33 0.001335 **
## Residuals 3 11.25 3.75
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5645.953
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 509.59 509.59 135.54 0.001361 **
## Residuals 3 11.28 3.76
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5615.706
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 504.15 504.15 133.76 0.001388 **
## Residuals 3 11.31 3.77
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5585.459
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 498.73 498.73 132 0.001415 **
## Residuals 3 11.33 3.78
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5555.213
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 493.34 493.34 130.25 0.001443 **
## Residuals 3 11.36 3.79
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5524.966
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 487.99 487.99 128.52 0.001472 **
## Residuals 3 11.39 3.80
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5494.719
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 482.66 482.66 126.8 0.001502 **
## Residuals 3 11.42 3.81
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5464.472
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 477.36 477.36 125.1 0.001532 **
## Residuals 3 11.45 3.82
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5434.226
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 472.09 472.09 123.41 0.001563 **
## Residuals 3 11.48 3.83
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5403.979
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 466.85 466.85 121.73 0.001595 **
## Residuals 3 11.50 3.83
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5373.732
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 461.64 461.64 120.07 0.001627 **
## Residuals 3 11.53 3.84
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5343.486
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 456.45 456.45 118.43 0.001661 **
## Residuals 3 11.56 3.85
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5313.239
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 451.30 451.30 116.8 0.001695 **
## Residuals 3 11.59 3.86
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5282.992
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 446.18 446.18 115.18 0.00173 **
## Residuals 3 11.62 3.87
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5252.745
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 441.08 441.08 113.57 0.001766 **
## Residuals 3 11.65 3.88
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5222.499
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 436.02 436.02 111.99 0.001803 **
## Residuals 3 11.68 3.89
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5192.252
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 430.98 430.98 110.41 0.001841 **
## Residuals 3 11.71 3.90
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5162.005
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 425.98 425.98 108.85 0.00188 **
## Residuals 3 11.74 3.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5131.759
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 421.00 421.00 107.3 0.001919 **
## Residuals 3 11.77 3.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5101.512
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 416.05 416.05 105.77 0.00196 **
## Residuals 3 11.80 3.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5071.265
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 411.13 411.13 104.25 0.002002 **
## Residuals 3 11.83 3.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5041.018
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 406.24 406.24 102.75 0.002046 **
## Residuals 3 11.86 3.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -5010.772
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 401.38 401.38 101.25 0.00209 **
## Residuals 3 11.89 3.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4980.525
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 396.55 396.55 99.777 0.002135 **
## Residuals 3 11.92 3.97
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4950.278
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 391.75 391.75 98.314 0.002182 **
## Residuals 3 11.95 3.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4920.032
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 386.98 386.98 96.864 0.00223 **
## Residuals 3 11.99 4.00
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4889.785
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 382.23 382.23 95.427 0.002279 **
## Residuals 3 12.02 4.01
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4859.538
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 377.52 377.52 94.004 0.00233 **
## Residuals 3 12.05 4.02
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4829.291
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 372.83 372.83 92.595 0.002382 **
## Residuals 3 12.08 4.03
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4799.045
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 368.18 368.18 91.199 0.002436 **
## Residuals 3 12.11 4.04
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4768.798
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 363.55 363.55 89.817 0.002491 **
## Residuals 3 12.14 4.05
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4738.551
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 358.95 358.95 88.448 0.002547 **
## Residuals 3 12.18 4.06
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4708.305
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 354.39 354.39 87.092 0.002605 **
## Residuals 3 12.21 4.07
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4678.058
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 349.85 349.85 85.75 0.002665 **
## Residuals 3 12.24 4.08
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4647.811
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 345.34 345.34 84.42 0.002726 **
## Residuals 3 12.27 4.09
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4617.564
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 340.86 340.86 83.104 0.00279 **
## Residuals 3 12.30 4.10
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4587.318
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 336.41 336.41 81.801 0.002855 **
## Residuals 3 12.34 4.11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4557.071
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 331.99 331.99 80.511 0.002921 **
## Residuals 3 12.37 4.12
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4526.824
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 327.59 327.59 79.234 0.00299 **
## Residuals 3 12.40 4.13
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4496.578
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 323.23 323.23 77.97 0.003061 **
## Residuals 3 12.44 4.15
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4466.331
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 318.90 318.90 76.719 0.003134 **
## Residuals 3 12.47 4.16
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4436.084
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 314.592 314.592 75.48 0.003209 **
## Residuals 3 12.504 4.168
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4405.838
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 310.317 310.317 74.254 0.003286 **
## Residuals 3 12.537 4.179
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4375.591
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 306.070 306.07 73.041 0.003366 **
## Residuals 3 12.571 4.19
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4345.344
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 301.854 301.854 71.841 0.003448 **
## Residuals 3 12.605 4.202
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4315.097
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 297.666 297.666 70.653 0.003532 **
## Residuals 3 12.639 4.213
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4284.851
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 293.508 293.508 69.478 0.003619 **
## Residuals 3 12.673 4.224
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4254.604
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 289.378 289.378 68.315 0.003709 **
## Residuals 3 12.708 4.236
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4224.357
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 285.279 285.279 67.164 0.003802 **
## Residuals 3 12.742 4.247
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4194.111
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 281.208 281.208 66.026 0.003897 **
## Residuals 3 12.777 4.259
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4163.864
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 277.167 277.167 64.9 0.003995 **
## Residuals 3 12.812 4.271
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4133.617
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 273.155 273.155 63.786 0.004096 **
## Residuals 3 12.847 4.282
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4103.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 269.172 269.172 62.684 0.004201 **
## Residuals 3 12.882 4.294
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4073.124
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 265.218 265.218 61.595 0.004309 **
## Residuals 3 12.918 4.306
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4042.877
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 261.294 261.294 60.517 0.00442 **
## Residuals 3 12.953 4.318
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -4012.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 257.399 257.40 59.452 0.004535 **
## Residuals 3 12.989 4.33
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3982.384
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 253.533 253.533 58.398 0.004653 **
## Residuals 3 13.024 4.341
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3952.137
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 249.70 249.696 57.356 0.004775 **
## Residuals 3 13.06 4.353
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3921.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 245.889 245.889 56.326 0.004901 **
## Residuals 3 13.096 4.365
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3891.643
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 242.111 242.111 55.308 0.005032 **
## Residuals 3 13.133 4.378
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3861.397
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 238.362 238.36 54.301 0.005166 **
## Residuals 3 13.169 4.39
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3831.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 234.642 234.642 53.306 0.005306 **
## Residuals 3 13.205 4.402
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3800.903
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 230.952 230.952 52.322 0.005449 **
## Residuals 3 13.242 4.414
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3770.657
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 227.291 227.291 51.35 0.005598 **
## Residuals 3 13.279 4.426
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3740.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 223.659 223.659 50.389 0.005751 **
## Residuals 3 13.316 4.439
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3710.163
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 220.056 220.056 49.44 0.00591 **
## Residuals 3 13.353 4.451
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3679.916
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 216.48 216.483 48.502 0.006074 **
## Residuals 3 13.39 4.463
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3649.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 212.939 212.939 47.575 0.006244 **
## Residuals 3 13.428 4.476
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3619.423
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 209.424 209.424 46.659 0.00642 **
## Residuals 3 13.465 4.488
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3589.176
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 205.938 205.938 45.754 0.006602 **
## Residuals 3 13.503 4.501
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3558.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 202.482 202.482 44.86 0.00679 **
## Residuals 3 13.541 4.514
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3528.683
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 199.055 199.055 43.978 0.006985 **
## Residuals 3 13.579 4.526
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3498.436
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 195.657 195.657 43.106 0.007187 **
## Residuals 3 13.617 4.539
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3468.189
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 192.289 192.289 42.245 0.007396 **
## Residuals 3 13.655 4.552
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3437.943
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 188.949 188.949 41.395 0.007612 **
## Residuals 3 13.694 4.565
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3407.696
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 185.639 185.639 40.555 0.007837 **
## Residuals 3 13.732 4.577
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3377.449
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 182.358 182.36 39.726 0.008069 **
## Residuals 3 13.771 4.59
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3347.203
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 179.11 179.107 38.908 0.00831 **
## Residuals 3 13.81 4.603
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3316.956
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 175.884 175.884 38.1 0.00856 **
## Residuals 3 13.849 4.616
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3286.709
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 172.691 172.691 37.303 0.00882 **
## Residuals 3 13.888 4.629
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3256.462
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 169.527 169.527 36.516 0.009089 **
## Residuals 3 13.928 4.643
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3226.216
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 166.393 166.393 35.74 0.009368 **
## Residuals 3 13.967 4.656
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3195.969
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 163.288 163.288 34.973 0.009658 **
## Residuals 3 14.007 4.669
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3165.722
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 160.211 160.211 34.217 0.009959 **
## Residuals 3 14.047 4.682
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3135.476
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 157.165 157.165 33.471 0.01027 *
## Residuals 3 14.087 4.696
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3105.229
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 154.147 154.147 32.736 0.0106 *
## Residuals 3 14.127 4.709
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3074.982
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 151.159 151.159 32.01 0.01093 *
## Residuals 3 14.167 4.722
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3044.735
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 148.200 148.200 31.294 0.01128 *
## Residuals 3 14.207 4.736
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -3014.489
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 145.270 145.270 30.588 0.01165 *
## Residuals 3 14.248 4.749
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2984.242
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 142.369 142.369 29.892 0.01203 *
## Residuals 3 14.288 4.763
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2953.995
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 139.498 139.498 29.205 0.01242 *
## Residuals 3 14.329 4.776
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2923.749
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 136.66 136.66 28.529 0.01283 *
## Residuals 3 14.37 4.79
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2893.502
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 133.843 133.843 27.862 0.01326 *
## Residuals 3 14.411 4.804
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2863.255
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 131.059 131.059 27.204 0.0137 *
## Residuals 3 14.453 4.818
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2833.009
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 128.305 128.305 26.556 0.01417 *
## Residuals 3 14.494 4.831
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2802.762
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 125.580 125.580 25.918 0.01465 *
## Residuals 3 14.536 4.845
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2772.515
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 122.884 122.884 25.289 0.01515 *
## Residuals 3 14.578 4.859
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2742.268
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 120.218 120.218 24.669 0.01568 *
## Residuals 3 14.619 4.873
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2712.022
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 117.580 117.580 24.059 0.01622 *
## Residuals 3 14.661 4.887
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2681.775
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 114.972 114.972 23.458 0.01679 *
## Residuals 3 14.704 4.901
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2651.528
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 112.393 112.393 22.866 0.01739 *
## Residuals 3 14.746 4.915
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2621.282
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 109.844 109.84 22.283 0.01801 *
## Residuals 3 14.789 4.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2591.035
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 107.323 107.323 21.709 0.01866 *
## Residuals 3 14.831 4.944
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2560.788
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 104.832 104.832 21.144 0.01933 *
## Residuals 3 14.874 4.958
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2530.541
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 102.371 102.371 20.588 0.02004 *
## Residuals 3 14.917 4.972
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2500.295
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 99.938 99.938 20.041 0.02078 *
## Residuals 3 14.960 4.987
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2470.048
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 97.535 97.535 19.503 0.02155 *
## Residuals 3 15.003 5.001
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2439.801
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 95.161 95.161 18.973 0.02236 *
## Residuals 3 15.047 5.016
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2409.555
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 92.816 92.816 18.452 0.0232 *
## Residuals 3 15.090 5.030
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2379.308
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 90.500 90.500 17.94 0.02409 *
## Residuals 3 15.134 5.045
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2349.061
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 88.214 88.214 17.436 0.02501 *
## Residuals 3 15.178 5.059
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2318.814
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 85.957 85.957 16.941 0.02598 *
## Residuals 3 15.222 5.074
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2288.568
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 83.729 83.729 16.454 0.027 *
## Residuals 3 15.266 5.089
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2258.321
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 81.53 81.530 15.976 0.02806 *
## Residuals 3 15.31 5.103
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2228.074
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 79.361 79.361 15.506 0.02918 *
## Residuals 3 15.354 5.118
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2197.828
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 77.221 77.221 15.044 0.03035 *
## Residuals 3 15.399 5.133
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2167.581
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 75.110 75.110 14.59 0.03158 *
## Residuals 3 15.444 5.148
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2137.334
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 73.029 73.029 14.145 0.03287 *
## Residuals 3 15.489 5.163
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2107.087
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.976 70.976 13.707 0.03422 *
## Residuals 3 15.534 5.178
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2076.841
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 68.953 68.953 13.278 0.03564 *
## Residuals 3 15.579 5.193
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2046.594
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 66.959 66.959 12.857 0.03714 *
## Residuals 3 15.624 5.208
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -2016.347
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 64.995 64.995 12.443 0.03871 *
## Residuals 3 15.670 5.223
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1986.101
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 63.059 63.059 12.038 0.04036 *
## Residuals 3 15.715 5.238
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1955.854
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 61.153 61.153 11.64 0.0421 *
## Residuals 3 15.761 5.254
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1925.607
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 59.277 59.277 11.25 0.04392 *
## Residuals 3 15.807 5.269
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1895.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 57.429 57.429 10.868 0.04585 *
## Residuals 3 15.853 5.284
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1865.114
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 55.611 55.611 10.493 0.04788 *
## Residuals 3 15.899 5.300
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1834.867
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.822 53.822 10.126 0.05001 .
## Residuals 3 15.946 5.315
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1804.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 52.062 52.062 9.7663 0.05226 .
## Residuals 3 15.992 5.331
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1774.374
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 50.331 50.331 9.4142 0.05464 .
## Residuals 3 16.039 5.346
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1744.127
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.630 48.630 9.0695 0.05714 .
## Residuals 3 16.086 5.362
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1713.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 46.958 46.958 8.7322 0.05978 .
## Residuals 3 16.133 5.378
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1683.633
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 45.315 45.315 8.4022 0.06257 .
## Residuals 3 16.180 5.393
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1653.387
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 43.702 43.702 8.0794 0.06552 .
## Residuals 3 16.227 5.409
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1623.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 42.117 42.117 7.7638 0.06863 .
## Residuals 3 16.275 5.425
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1592.893
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.562 40.562 7.4553 0.07191 .
## Residuals 3 16.322 5.441
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1562.647
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 39.036 39.036 7.154 0.07539 .
## Residuals 3 16.370 5.457
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1532.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.540 37.540 6.8596 0.07906 .
## Residuals 3 16.418 5.473
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1502.153
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 36.073 36.073 6.5723 0.08295 .
## Residuals 3 16.466 5.489
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1471.907
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 34.634 34.634 6.2919 0.08706 .
## Residuals 3 16.514 5.505
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1441.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 33.226 33.226 6.0183 0.09142 .
## Residuals 3 16.562 5.521
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1411.413
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 31.846 31.846 5.7516 0.09603 .
## Residuals 3 16.611 5.537
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : -1381.166
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.496 30.4958 5.4917 0.1009
## Residuals 3 16.659 5.5531
##
## Tukey's test of nonadditivity
## y
##
## P : -1350.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 29.175 29.1747 5.2385 0.1061
## Residuals 3 16.708 5.5693
##
## Tukey's test of nonadditivity
## y
##
## P : -1320.673
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 27.883 27.8829 4.9919 0.1116
## Residuals 3 16.757 5.5856
##
## Tukey's test of nonadditivity
## y
##
## P : -1290.426
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 26.620 26.620 4.7519 0.1174
## Residuals 3 16.806 5.602
##
## Tukey's test of nonadditivity
## y
##
## P : -1260.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 25.387 25.3871 4.5186 0.1235
## Residuals 3 16.855 5.6184
##
## Tukey's test of nonadditivity
## y
##
## P : -1229.933
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.183 24.1830 4.2917 0.13
## Residuals 3 16.905 5.6349
##
## Tukey's test of nonadditivity
## y
##
## P : -1199.686
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 23.008 23.0082 4.0713 0.137
## Residuals 3 16.954 5.6514
##
## Tukey's test of nonadditivity
## y
##
## P : -1169.439
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.863 21.8627 3.8573 0.1443
## Residuals 3 17.004 5.6679
##
## Tukey's test of nonadditivity
## y
##
## P : -1139.193
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 20.746 20.7464 3.6496 0.1521
## Residuals 3 17.054 5.6845
##
## Tukey's test of nonadditivity
## y
##
## P : -1108.946
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 19.659 19.6593 3.4483 0.1603
## Residuals 3 17.104 5.7012
##
## Tukey's test of nonadditivity
## y
##
## P : -1078.699
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 18.602 18.6015 3.2532 0.1691
## Residuals 3 17.154 5.7179
##
## Tukey's test of nonadditivity
## y
##
## P : -1048.453
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 17.573 17.5730 3.0644 0.1783
## Residuals 3 17.204 5.7346
##
## Tukey's test of nonadditivity
## y
##
## P : -1018.206
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 16.574 16.5737 2.8817 0.1882
## Residuals 3 17.254 5.7514
##
## Tukey's test of nonadditivity
## y
##
## P : -987.9591
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.604 15.6036 2.7051 0.1986
## Residuals 3 17.305 5.7683
##
## Tukey's test of nonadditivity
## y
##
## P : -957.7124
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14.663 14.6628 2.5345 0.2096
## Residuals 3 17.356 5.7852
##
## Tukey's test of nonadditivity
## y
##
## P : -927.4657
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13.751 13.7513 2.37 0.2213
## Residuals 3 17.406 5.8021
##
## Tukey's test of nonadditivity
## y
##
## P : -897.219
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12.869 12.8690 2.2115 0.2337
## Residuals 3 17.457 5.8192
##
## Tukey's test of nonadditivity
## y
##
## P : -866.9723
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12.016 12.0160 2.0589 0.2468
## Residuals 3 17.509 5.8362
##
## Tukey's test of nonadditivity
## y
##
## P : -836.7256
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11.192 11.1922 1.9121 0.2607
## Residuals 3 17.560 5.8533
##
## Tukey's test of nonadditivity
## y
##
## P : -806.4789
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10.398 10.3976 1.7712 0.2753
## Residuals 3 17.611 5.8705
##
## Tukey's test of nonadditivity
## y
##
## P : -776.2321
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9.6323 9.6323 1.636 0.2908
## Residuals 3 17.6630 5.8877
##
## Tukey's test of nonadditivity
## y
##
## P : -745.9854
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8.8963 8.8963 1.5066 0.3072
## Residuals 3 17.7147 5.9049
##
## Tukey's test of nonadditivity
## y
##
## P : -715.7387
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8.1895 8.1895 1.3828 0.3244
## Residuals 3 17.7666 5.9222
##
## Tukey's test of nonadditivity
## y
##
## P : -685.492
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7.512 7.5120 1.2647 0.3426
## Residuals 3 17.819 5.9396
##
## Tukey's test of nonadditivity
## y
##
## P : -655.2453
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6.8637 6.8637 1.1522 0.3617
## Residuals 3 17.8709 5.9570
##
## Tukey's test of nonadditivity
## y
##
## P : -624.9986
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6.2446 6.2446 1.0452 0.3819
## Residuals 3 17.9232 5.9744
##
## Tukey's test of nonadditivity
## y
##
## P : -594.7519
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5.6548 5.6548 0.9437 0.403
## Residuals 3 17.9757 5.9919
##
## Tukey's test of nonadditivity
## y
##
## P : -564.5052
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5.0943 5.0943 0.8477 0.4251
## Residuals 3 18.0284 6.0095
##
## Tukey's test of nonadditivity
## y
##
## P : -534.2585
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.563 4.5630 0.7571 0.4483
## Residuals 3 18.081 6.0271
##
## Tukey's test of nonadditivity
## y
##
## P : -504.0117
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.061 4.0610 0.6718 0.4725
## Residuals 3 18.134 6.0447
##
## Tukey's test of nonadditivity
## y
##
## P : -473.765
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3.5882 3.5882 0.5919 0.4977
## Residuals 3 18.1872 6.0624
##
## Tukey's test of nonadditivity
## y
##
## P : -443.5183
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3.1446 3.1446 0.5172 0.524
## Residuals 3 18.2405 6.0802
##
## Tukey's test of nonadditivity
## y
##
## P : -413.2716
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2.7304 2.7304 0.4477 0.5513
## Residuals 3 18.2939 6.0980
##
## Tukey's test of nonadditivity
## y
##
## P : -383.0249
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2.3453 2.3453 0.3835 0.5796
## Residuals 3 18.3474 6.1158
##
## Tukey's test of nonadditivity
## y
##
## P : -352.7782
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1.9895 1.9895 0.3244 0.6089
## Residuals 3 18.4011 6.1337
##
## Tukey's test of nonadditivity
## y
##
## P : -322.5315
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1.663 1.6630 0.2703 0.639
## Residuals 3 18.455 6.1517
##
## Tukey's test of nonadditivity
## y
##
## P : -292.2848
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1.3657 1.3657 0.2214 0.6701
## Residuals 3 18.5090 6.1697
##
## Tukey's test of nonadditivity
## y
##
## P : -262.0381
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1.0977 1.0977 0.1774 0.702
## Residuals 3 18.5631 6.1877
##
## Tukey's test of nonadditivity
## y
##
## P : -231.7913
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.8589 0.8589 0.1384 0.7346
## Residuals 3 18.6174 6.2058
##
## Tukey's test of nonadditivity
## y
##
## P : -201.5446
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.6494 0.6494 0.1043 0.7679
## Residuals 3 18.6719 6.2240
##
## Tukey's test of nonadditivity
## y
##
## P : -171.2979
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.4691 0.4691 0.0751 0.8018
## Residuals 3 18.7265 6.2422
##
## Tukey's test of nonadditivity
## y
##
## P : -141.0512
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.3181 0.3181 0.0508 0.8362
## Residuals 3 18.7812 6.2604
##
## Tukey's test of nonadditivity
## y
##
## P : -110.8045
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.1963 0.1963 0.0313 0.8709
## Residuals 3 18.8361 6.2787
##
## Tukey's test of nonadditivity
## y
##
## P : -80.55779
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.1037 0.1037 0.0165 0.906
## Residuals 3 18.8911 6.2970
##
## Tukey's test of nonadditivity
## y
##
## P : -50.31107
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.0405 0.0405 0.0064 0.9412
## Residuals 3 18.9463 6.3154
##
## Tukey's test of nonadditivity
## y
##
## P : -20.06436
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.0064 0.0064 0.001 0.9766
## Residuals 3 19.0017 6.3339
##
## Tukey's test of nonadditivity
## y
##
## P : 10.18235
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.0017 0.0017 3e-04 0.9881
## Residuals 3 19.0572 6.3524
##
## Tukey's test of nonadditivity
## y
##
## P : 40.42906
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.0261 0.0261 0.0041 0.953
## Residuals 3 19.1128 6.3709
##
## Tukey's test of nonadditivity
## y
##
## P : 70.67577
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.0799 0.0799 0.0125 0.918
## Residuals 3 19.1686 6.3895
##
## Tukey's test of nonadditivity
## y
##
## P : 100.9225
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.1628 0.1628 0.0254 0.8835
## Residuals 3 19.2245 6.4082
##
## Tukey's test of nonadditivity
## y
##
## P : 131.1692
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.2751 0.2751 0.0428 0.8494
## Residuals 3 19.2806 6.4269
##
## Tukey's test of nonadditivity
## y
##
## P : 161.4159
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.4165 0.4165 0.0646 0.8158
## Residuals 3 19.3369 6.4456
##
## Tukey's test of nonadditivity
## y
##
## P : 191.6626
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.5872 0.5872 0.0908 0.7828
## Residuals 3 19.3932 6.4644
##
## Tukey's test of nonadditivity
## y
##
## P : 221.9093
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 0.7872 0.7872 0.1214 0.7505
## Residuals 3 19.4498 6.4833
##
## Tukey's test of nonadditivity
## y
##
## P : 252.156
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1.0165 1.0165 0.1563 0.719
## Residuals 3 19.5065 6.5022
##
## Tukey's test of nonadditivity
## y
##
## P : 282.4027
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1.2749 1.2749 0.1955 0.6883
## Residuals 3 19.5633 6.5211
##
## Tukey's test of nonadditivity
## y
##
## P : 312.6495
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1.5627 1.5627 0.2389 0.6585
## Residuals 3 19.6203 6.5401
##
## Tukey's test of nonadditivity
## y
##
## P : 342.8962
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1.8796 1.8796 0.2866 0.6296
## Residuals 3 19.6774 6.5591
##
## Tukey's test of nonadditivity
## y
##
## P : 373.1429
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2.2259 2.2259 0.3384 0.6016
## Residuals 3 19.7347 6.5782
##
## Tukey's test of nonadditivity
## y
##
## P : 403.3896
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2.6013 2.6013 0.3943 0.5746
## Residuals 3 19.7921 6.5974
##
## Tukey's test of nonadditivity
## y
##
## P : 433.6363
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3.0061 3.0061 0.4543 0.5486
## Residuals 3 19.8497 6.6166
##
## Tukey's test of nonadditivity
## y
##
## P : 463.883
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3.4401 3.4401 0.5184 0.5235
## Residuals 3 19.9075 6.6358
##
## Tukey's test of nonadditivity
## y
##
## P : 494.1297
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3.9033 3.9033 0.5865 0.4995
## Residuals 3 19.9653 6.6551
##
## Tukey's test of nonadditivity
## y
##
## P : 524.3764
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.3958 4.3958 0.6586 0.4765
## Residuals 3 20.0234 6.6745
##
## Tukey's test of nonadditivity
## y
##
## P : 554.6232
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4.9175 4.9175 0.7346 0.4544
## Residuals 3 20.0815 6.6938
##
## Tukey's test of nonadditivity
## y
##
## P : 584.8699
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5.4685 5.4685 0.8146 0.4333
## Residuals 3 20.1399 6.7133
##
## Tukey's test of nonadditivity
## y
##
## P : 615.1166
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6.0487 6.0487 0.8984 0.4131
## Residuals 3 20.1984 6.7328
##
## Tukey's test of nonadditivity
## y
##
## P : 645.3633
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6.6582 6.6582 0.9861 0.3939
## Residuals 3 20.2570 6.7523
##
## Tukey's test of nonadditivity
## y
##
## P : 675.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7.2969 7.2969 1.0775 0.3756
## Residuals 3 20.3158 6.7719
##
## Tukey's test of nonadditivity
## y
##
## P : 705.8567
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7.9649 7.9649 1.1728 0.3581
## Residuals 3 20.3747 6.7916
##
## Tukey's test of nonadditivity
## y
##
## P : 736.1034
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8.6621 8.6621 1.2717 0.3415
## Residuals 3 20.4338 6.8113
##
## Tukey's test of nonadditivity
## y
##
## P : 766.3501
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9.3886 9.3886 1.3744 0.3257
## Residuals 3 20.4930 6.8310
##
## Tukey's test of nonadditivity
## y
##
## P : 796.5968
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10.144 10.1444 1.4808 0.3107
## Residuals 3 20.552 6.8508
##
## Tukey's test of nonadditivity
## y
##
## P : 826.8436
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10.929 10.9294 1.5907 0.2964
## Residuals 3 20.612 6.8706
##
## Tukey's test of nonadditivity
## y
##
## P : 857.0903
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11.744 11.7436 1.7043 0.2828
## Residuals 3 20.672 6.8905
##
## Tukey's test of nonadditivity
## y
##
## P : 887.337
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12.587 12.5871 1.8215 0.2699
## Residuals 3 20.731 6.9105
##
## Tukey's test of nonadditivity
## y
##
## P : 917.5837
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13.460 13.4598 1.9421 0.2577
## Residuals 3 20.791 6.9305
##
## Tukey's test of nonadditivity
## y
##
## P : 947.8304
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14.362 14.3618 2.0663 0.2461
## Residuals 3 20.852 6.9505
##
## Tukey's test of nonadditivity
## y
##
## P : 978.0771
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15.293 15.2931 2.1939 0.2351
## Residuals 3 20.912 6.9706
##
## Tukey's test of nonadditivity
## y
##
## P : 1008.324
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 16.253 16.2535 2.325 0.2247
## Residuals 3 20.972 6.9907
##
## Tukey's test of nonadditivity
## y
##
## P : 1038.571
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 17.243 17.2433 2.4595 0.2148
## Residuals 3 21.033 7.0109
##
## Tukey's test of nonadditivity
## y
##
## P : 1068.817
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 18.262 18.2623 2.5973 0.2054
## Residuals 3 21.093 7.0312
##
## Tukey's test of nonadditivity
## y
##
## P : 1099.064
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 19.311 19.3105 2.7385 0.1965
## Residuals 3 21.154 7.0514
##
## Tukey's test of nonadditivity
## y
##
## P : 1129.311
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 20.388 20.3880 2.883 0.1881
## Residuals 3 21.215 7.0718
##
## Tukey's test of nonadditivity
## y
##
## P : 1159.557
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 21.495 21.4948 3.0308 0.1801
## Residuals 3 21.276 7.0922
##
## Tukey's test of nonadditivity
## y
##
## P : 1189.804
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 22.631 22.6307 3.1818 0.1725
## Residuals 3 21.338 7.1126
##
## Tukey's test of nonadditivity
## y
##
## P : 1220.051
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 23.796 23.7960 3.336 0.1653
## Residuals 3 21.399 7.1331
##
## Tukey's test of nonadditivity
## y
##
## P : 1250.298
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 24.991 24.9905 3.4934 0.1584
## Residuals 3 21.461 7.1536
##
## Tukey's test of nonadditivity
## y
##
## P : 1280.544
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 26.214 26.2142 3.6539 0.1519
## Residuals 3 21.523 7.1742
##
## Tukey's test of nonadditivity
## y
##
## P : 1310.791
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 27.467 27.4672 3.8176 0.1457
## Residuals 3 21.585 7.1949
##
## Tukey's test of nonadditivity
## y
##
## P : 1341.038
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 28.750 28.7495 3.9844 0.1399
## Residuals 3 21.647 7.2156
##
## Tukey's test of nonadditivity
## y
##
## P : 1371.284
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 30.061 30.0610 4.1542 0.1343
## Residuals 3 21.709 7.2363
##
## Tukey's test of nonadditivity
## y
##
## P : 1401.531
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 31.402 31.4017 4.327 0.129
## Residuals 3 21.771 7.2571
##
## Tukey's test of nonadditivity
## y
##
## P : 1431.778
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 32.772 32.772 4.5029 0.1239
## Residuals 3 21.834 7.278
##
## Tukey's test of nonadditivity
## y
##
## P : 1462.024
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 34.171 34.171 4.6817 0.1192
## Residuals 3 21.896 7.299
##
## Tukey's test of nonadditivity
## y
##
## P : 1492.271
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 35.599 35.599 4.8635 0.1146
## Residuals 3 21.959 7.320
##
## Tukey's test of nonadditivity
## y
##
## P : 1522.518
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 37.057 37.057 5.0482 0.1103
## Residuals 3 22.022 7.341
##
## Tukey's test of nonadditivity
## y
##
## P : 1552.765
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 38.544 38.544 5.2357 0.1061
## Residuals 3 22.085 7.362
##
## Tukey's test of nonadditivity
## y
##
## P : 1583.011
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 40.060 40.060 5.4261 0.1022
## Residuals 3 22.149 7.383
##
## Tukey's test of nonadditivity
## y
##
## P : 1613.258
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 41.606 41.606 5.6194 0.09846 .
## Residuals 3 22.212 7.404
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 1643.505
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 43.181 43.181 5.8154 0.09489 .
## Residuals 3 22.276 7.425
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 1673.751
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 44.785 44.785 6.0143 0.09148 .
## Residuals 3 22.339 7.446
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 1703.998
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 46.418 46.418 6.2158 0.08824 .
## Residuals 3 22.403 7.468
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 1734.245
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 48.080 48.080 6.4201 0.08514 .
## Residuals 3 22.467 7.489
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 1764.492
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 49.772 49.772 6.6271 0.08218 .
## Residuals 3 22.531 7.510
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 1794.738
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 51.493 51.493 6.8367 0.07936 .
## Residuals 3 22.596 7.532
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 1824.985
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 53.243 53.243 7.049 0.07667 .
## Residuals 3 22.660 7.553
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 1855.232
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 55.023 55.023 7.2639 0.07409 .
## Residuals 3 22.725 7.575
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 1885.478
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 56.832 56.832 7.4813 0.07163 .
## Residuals 3 22.789 7.596
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 1915.725
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 58.670 58.670 7.7014 0.06927 .
## Residuals 3 22.854 7.618
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 1945.972
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 60.537 60.537 7.9239 0.06702 .
## Residuals 3 22.919 7.640
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 1976.219
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 62.434 62.434 8.149 0.06486 .
## Residuals 3 22.985 7.662
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2006.465
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 64.359 64.359 8.3765 0.0628 .
## Residuals 3 23.050 7.683
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2036.712
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 66.314 66.314 8.6065 0.06082 .
## Residuals 3 23.115 7.705
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2066.959
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 68.299 68.299 8.8389 0.05892 .
## Residuals 3 23.181 7.727
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2097.205
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 70.312 70.312 9.0737 0.05711 .
## Residuals 3 23.247 7.749
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2127.452
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 72.355 72.355 9.3109 0.05537 .
## Residuals 3 23.313 7.771
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2157.699
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 74.427 74.427 9.5505 0.0537 .
## Residuals 3 23.379 7.793
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2187.946
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 76.528 76.528 9.7924 0.05209 .
## Residuals 3 23.445 7.815
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2218.192
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 78.659 78.659 10.037 0.05056 .
## Residuals 3 23.512 7.837
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2248.439
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 80.818 80.818 10.283 0.04908 *
## Residuals 3 23.578 7.859
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2278.686
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 83.007 83.007 10.532 0.04766 *
## Residuals 3 23.645 7.882
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2308.932
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 85.226 85.226 10.783 0.0463 *
## Residuals 3 23.712 7.904
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2339.179
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 87.473 87.473 11.036 0.04499 *
## Residuals 3 23.779 7.926
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2369.426
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 89.750 89.750 11.291 0.04373 *
## Residuals 3 23.846 7.949
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2399.673
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 92.056 92.056 11.549 0.04251 *
## Residuals 3 23.913 7.971
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2429.919
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 94.391 94.391 11.809 0.04135 *
## Residuals 3 23.981 7.994
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2460.166
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 96.756 96.756 12.07 0.04022 *
## Residuals 3 24.048 8.016
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2490.413
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 99.150 99.150 12.334 0.03914 *
## Residuals 3 24.116 8.039
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2520.659
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 101.573 101.573 12.6 0.0381 *
## Residuals 3 24.184 8.061
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2550.906
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 104.025 104.025 12.868 0.0371 *
## Residuals 3 24.252 8.084
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2581.153
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 106.51 106.506 13.138 0.03613 *
## Residuals 3 24.32 8.107
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2611.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 109.017 109.017 13.41 0.0352 *
## Residuals 3 24.388 8.129
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2641.646
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 111.557 111.557 13.684 0.0343 *
## Residuals 3 24.457 8.152
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2671.893
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 114.126 114.126 13.96 0.03343 *
## Residuals 3 24.526 8.175
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2702.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 116.725 116.725 14.238 0.03259 *
## Residuals 3 24.594 8.198
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2732.386
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 119.353 119.353 14.518 0.03178 *
## Residuals 3 24.663 8.221
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2762.633
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 122.010 122.010 14.8 0.031 *
## Residuals 3 24.732 8.244
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2792.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 124.696 124.696 15.083 0.03025 *
## Residuals 3 24.802 8.267
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2823.127
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 127.412 127.41 15.369 0.02952 *
## Residuals 3 24.871 8.29
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2853.373
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 130.156 130.156 15.656 0.02882 *
## Residuals 3 24.941 8.314
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2883.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 132.93 132.930 15.945 0.02813 *
## Residuals 3 25.01 8.337
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2913.867
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 135.73 135.73 16.236 0.02748 *
## Residuals 3 25.08 8.36
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2944.113
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 138.57 138.566 16.529 0.02684 *
## Residuals 3 25.15 8.383
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 2974.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 141.43 141.428 16.823 0.02622 *
## Residuals 3 25.22 8.407
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3004.607
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 144.32 144.32 17.119 0.02563 *
## Residuals 3 25.29 8.43
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3034.853
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 147.239 147.239 17.417 0.02505 *
## Residuals 3 25.361 8.454
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3065.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 150.189 150.189 17.717 0.02449 *
## Residuals 3 25.431 8.477
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3095.347
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 153.167 153.167 18.018 0.02395 *
## Residuals 3 25.502 8.501
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3125.594
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 156.176 156.176 18.321 0.02342 *
## Residuals 3 25.573 8.524
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3155.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 159.213 159.213 18.626 0.02292 *
## Residuals 3 25.644 8.548
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3186.087
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 162.279 162.279 18.932 0.02242 *
## Residuals 3 25.715 8.572
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3216.334
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 165.375 165.375 19.24 0.02195 *
## Residuals 3 25.787 8.596
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3246.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 168.500 168.500 19.549 0.02148 *
## Residuals 3 25.858 8.619
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3276.827
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 171.65 171.654 19.86 0.02103 *
## Residuals 3 25.93 8.643
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3307.074
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 174.838 174.838 20.172 0.0206 *
## Residuals 3 26.001 8.667
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3337.321
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 178.051 178.051 20.486 0.02017 *
## Residuals 3 26.073 8.691
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3367.567
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 181.293 181.293 20.802 0.01976 *
## Residuals 3 26.146 8.715
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3397.814
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 184.564 184.564 21.119 0.01936 *
## Residuals 3 26.218 8.739
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3428.061
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 187.87 187.865 21.438 0.01898 *
## Residuals 3 26.29 8.763
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3458.307
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 191.194 191.194 21.757 0.0186 *
## Residuals 3 26.363 8.788
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3488.554
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 194.553 194.553 22.079 0.01823 *
## Residuals 3 26.435 8.812
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3518.801
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 197.942 197.942 22.402 0.01788 *
## Residuals 3 26.508 8.836
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3549.048
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 201.359 201.36 22.726 0.01753 *
## Residuals 3 26.581 8.86
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3579.294
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 204.806 204.806 23.051 0.0172 *
## Residuals 3 26.654 8.885
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3609.541
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 208.282 208.282 23.378 0.01687 *
## Residuals 3 26.728 8.909
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3639.788
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 211.787 211.787 23.707 0.01655 *
## Residuals 3 26.801 8.934
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3670.034
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 215.322 215.322 24.036 0.01624 *
## Residuals 3 26.874 8.958
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3700.281
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 218.886 218.886 24.367 0.01594 *
## Residuals 3 26.948 8.983
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3730.528
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 222.479 222.479 24.7 0.01565 *
## Residuals 3 27.022 9.007
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3760.775
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 226.101 226.101 25.033 0.01536 *
## Residuals 3 27.096 9.032
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3791.021
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 229.75 229.753 25.368 0.01509 *
## Residuals 3 27.17 9.057
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3821.268
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 233.433 233.433 25.704 0.01482 *
## Residuals 3 27.245 9.082
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3851.515
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 237.143 237.143 26.041 0.01455 *
## Residuals 3 27.319 9.106
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3881.761
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 240.883 240.883 26.38 0.0143 *
## Residuals 3 27.394 9.131
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3912.008
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 244.651 244.651 26.72 0.01405 *
## Residuals 3 27.468 9.156
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3942.255
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 248.449 248.449 27.061 0.0138 *
## Residuals 3 27.543 9.181
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 3972.502
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 252.276 252.276 27.403 0.01357 *
## Residuals 3 27.618 9.206
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4002.748
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 256.132 256.132 27.746 0.01334 *
## Residuals 3 27.694 9.231
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4032.995
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 260.018 260.018 28.091 0.01311 *
## Residuals 3 27.769 9.256
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4063.242
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 263.933 263.933 28.436 0.01289 *
## Residuals 3 27.845 9.282
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4093.488
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 267.88 267.877 28.783 0.01267 *
## Residuals 3 27.92 9.307
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4123.735
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 271.850 271.850 29.131 0.01247 *
## Residuals 3 27.996 9.332
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4153.982
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 275.853 275.853 29.48 0.01226 *
## Residuals 3 28.072 9.357
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4184.229
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 279.884 279.884 29.83 0.01206 *
## Residuals 3 28.148 9.383
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4214.475
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 283.945 283.945 30.181 0.01187 *
## Residuals 3 28.224 9.408
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4244.722
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 288.036 288.036 30.533 0.01168 *
## Residuals 3 28.301 9.434
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4274.969
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 292.155 292.155 30.886 0.01149 *
## Residuals 3 28.377 9.459
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4305.215
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 296.304 296.304 31.24 0.01131 *
## Residuals 3 28.454 9.485
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4335.462
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 300.482 300.48 31.596 0.01113 *
## Residuals 3 28.531 9.51
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4365.709
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 304.689 304.689 31.952 0.01096 *
## Residuals 3 28.608 9.536
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4395.955
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 308.926 308.926 32.309 0.01079 *
## Residuals 3 28.685 9.562
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4426.202
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 313.192 313.192 32.667 0.01063 *
## Residuals 3 28.762 9.587
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4456.449
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 317.49 317.49 33.026 0.01047 *
## Residuals 3 28.84 9.61
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4486.696
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 321.81 321.81 33.386 0.01031 *
## Residuals 3 28.92 9.64
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4516.942
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 326.16 326.16 33.747 0.01015 *
## Residuals 3 29.00 9.67
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4547.189
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 330.55 330.55 34.109 0.01 *
## Residuals 3 29.07 9.69
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4577.436
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 334.96 334.96 34.471 0.009856 **
## Residuals 3 29.15 9.72
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4607.682
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 339.40 339.40 34.835 0.009712 **
## Residuals 3 29.23 9.74
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4637.929
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 343.87 343.87 35.199 0.009571 **
## Residuals 3 29.31 9.77
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4668.176
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 348.37 348.37 35.565 0.009433 **
## Residuals 3 29.39 9.80
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4698.423
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 352.90 352.90 35.931 0.009298 **
## Residuals 3 29.46 9.82
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4728.669
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 357.46 357.46 36.298 0.009166 **
## Residuals 3 29.54 9.85
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4758.916
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 362.05 362.05 36.666 0.009036 **
## Residuals 3 29.62 9.87
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4789.163
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 366.66 366.66 37.035 0.00891 **
## Residuals 3 29.70 9.90
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4819.409
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 371.31 371.31 37.404 0.008786 **
## Residuals 3 29.78 9.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4849.656
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 375.98 375.98 37.774 0.008665 **
## Residuals 3 29.86 9.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4879.903
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 380.69 380.69 38.145 0.008546 **
## Residuals 3 29.94 9.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4910.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 385.42 385.42 38.517 0.00843 **
## Residuals 3 30.02 10.01
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4940.396
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 390.19 390.19 38.89 0.008316 **
## Residuals 3 30.10 10.03
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 4970.643
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 394.98 394.98 39.263 0.008204 **
## Residuals 3 30.18 10.06
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5000.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 399.80 399.80 39.637 0.008095 **
## Residuals 3 30.26 10.09
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5031.136
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 404.65 404.65 40.012 0.007988 **
## Residuals 3 30.34 10.11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5061.383
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 409.53 409.53 40.387 0.007883 **
## Residuals 3 30.42 10.14
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5091.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 414.44 414.44 40.763 0.00778 **
## Residuals 3 30.50 10.17
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5121.877
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 419.38 419.38 41.14 0.007679 **
## Residuals 3 30.58 10.19
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5152.123
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 424.35 424.35 41.518 0.00758 **
## Residuals 3 30.66 10.22
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5182.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 429.34 429.34 41.896 0.007483 **
## Residuals 3 30.74 10.25
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5212.617
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 434.37 434.37 42.275 0.007388 **
## Residuals 3 30.82 10.27
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5242.863
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 439.43 439.43 42.654 0.007295 **
## Residuals 3 30.91 10.30
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5273.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 444.51 444.51 43.034 0.007204 **
## Residuals 3 30.99 10.33
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5303.357
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 449.62 449.62 43.415 0.007114 **
## Residuals 3 31.07 10.36
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5333.604
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 454.77 454.77 43.796 0.007026 **
## Residuals 3 31.15 10.38
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5363.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 459.94 459.94 44.178 0.00694 **
## Residuals 3 31.23 10.41
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5394.097
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 465.14 465.14 44.561 0.006855 **
## Residuals 3 31.32 10.44
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5424.344
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 470.37 470.37 44.944 0.006772 **
## Residuals 3 31.40 10.47
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5454.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 475.63 475.63 45.328 0.006691 **
## Residuals 3 31.48 10.49
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5484.837
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 480.92 480.92 45.712 0.006611 **
## Residuals 3 31.56 10.52
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5515.084
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 486.24 486.24 46.097 0.006532 **
## Residuals 3 31.64 10.55
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5545.331
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 491.59 491.59 46.482 0.006455 **
## Residuals 3 31.73 10.58
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5575.577
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 496.97 496.97 46.868 0.006379 **
## Residuals 3 31.81 10.60
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5605.824
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 502.37 502.37 47.254 0.006305 **
## Residuals 3 31.89 10.63
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5636.071
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 507.81 507.81 47.641 0.006232 **
## Residuals 3 31.98 10.66
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5666.317
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 513.27 513.27 48.029 0.00616 **
## Residuals 3 32.06 10.69
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5696.564
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 518.77 518.77 48.416 0.00609 **
## Residuals 3 32.14 10.71
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5726.811
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 524.29 524.29 48.805 0.006021 **
## Residuals 3 32.23 10.74
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5757.057
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 529.85 529.85 49.194 0.005953 **
## Residuals 3 32.31 10.77
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5787.304
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 535.43 535.43 49.583 0.005886 **
## Residuals 3 32.40 10.80
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5817.551
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 541.04 541.04 49.973 0.00582 **
## Residuals 3 32.48 10.83
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5847.798
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 546.68 546.68 50.363 0.005756 **
## Residuals 3 32.56 10.85
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5878.044
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 552.35 552.35 50.754 0.005692 **
## Residuals 3 32.65 10.88
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5908.291
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 558.05 558.05 51.145 0.00563 **
## Residuals 3 32.73 10.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5938.538
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 563.78 563.78 51.536 0.005569 **
## Residuals 3 32.82 10.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5968.784
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 569.53 569.53 51.928 0.005509 **
## Residuals 3 32.90 10.97
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 5999.031
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 575.32 575.32 52.321 0.00545 **
## Residuals 3 32.99 11.00
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6029.278
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 581.14 581.14 52.713 0.005391 **
## Residuals 3 33.07 11.02
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6059.525
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 586.98 586.98 53.106 0.005334 **
## Residuals 3 33.16 11.05
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6089.771
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 592.86 592.86 53.5 0.005278 **
## Residuals 3 33.24 11.08
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6120.018
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 598.76 598.76 53.894 0.005223 **
## Residuals 3 33.33 11.11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6150.265
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 604.69 604.69 54.288 0.005168 **
## Residuals 3 33.42 11.14
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6180.511
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 610.66 610.66 54.682 0.005115 **
## Residuals 3 33.50 11.17
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6210.758
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 616.65 616.65 55.078 0.005062 **
## Residuals 3 33.59 11.20
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6241.005
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 622.67 622.67 55.473 0.00501 **
## Residuals 3 33.67 11.22
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6271.252
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 628.72 628.72 55.868 0.004959 **
## Residuals 3 33.76 11.25
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6301.498
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 634.80 634.80 56.264 0.004909 **
## Residuals 3 33.85 11.28
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6331.745
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 640.91 640.91 56.66 0.00486 **
## Residuals 3 33.93 11.31
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6361.992
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 647.04 647.04 57.057 0.004811 **
## Residuals 3 34.02 11.34
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6392.238
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 653.21 653.21 57.454 0.004764 **
## Residuals 3 34.11 11.37
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6422.485
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 659.41 659.41 57.851 0.004716 **
## Residuals 3 34.20 11.40
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6452.732
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 665.63 665.63 58.249 0.00467 **
## Residuals 3 34.28 11.43
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6482.979
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 671.89 671.89 58.646 0.004625 **
## Residuals 3 34.37 11.46
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6513.225
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 678.17 678.17 59.044 0.00458 **
## Residuals 3 34.46 11.49
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6543.472
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 684.49 684.49 59.443 0.004536 **
## Residuals 3 34.55 11.52
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6573.719
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 690.83 690.83 59.841 0.004492 **
## Residuals 3 34.63 11.54
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6603.965
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 697.20 697.20 60.24 0.004449 **
## Residuals 3 34.72 11.57
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6634.212
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 703.60 703.6 60.639 0.004407 **
## Residuals 3 34.81 11.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6664.459
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 710.03 710.03 61.038 0.004365 **
## Residuals 3 34.90 11.63
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6694.706
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 716.49 716.49 61.438 0.004325 **
## Residuals 3 34.99 11.66
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6724.952
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 722.98 722.98 61.837 0.004284 **
## Residuals 3 35.08 11.69
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6755.199
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 729.50 729.50 62.237 0.004245 **
## Residuals 3 35.16 11.72
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6785.446
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 736.05 736.05 62.637 0.004205 **
## Residuals 3 35.25 11.75
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6815.692
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 742.62 742.62 63.038 0.004167 **
## Residuals 3 35.34 11.78
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6845.939
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 749.23 749.23 63.438 0.004129 **
## Residuals 3 35.43 11.81
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6876.186
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 755.86 755.86 63.839 0.004091 **
## Residuals 3 35.52 11.84
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6906.433
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 762.53 762.53 64.24 0.004055 **
## Residuals 3 35.61 11.87
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6936.679
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 769.22 769.22 64.641 0.004018 **
## Residuals 3 35.70 11.90
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6966.926
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 775.94 775.94 65.042 0.003982 **
## Residuals 3 35.79 11.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 6997.173
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 782.70 782.70 65.443 0.003947 **
## Residuals 3 35.88 11.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7027.419
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 789.48 789.48 65.845 0.003912 **
## Residuals 3 35.97 11.99
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7057.666
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 796.29 796.29 66.247 0.003878 **
## Residuals 3 36.06 12.02
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7087.913
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 803.13 803.13 66.648 0.003844 **
## Residuals 3 36.15 12.05
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7118.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 810.00 810.00 67.05 0.003811 **
## Residuals 3 36.24 12.08
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7148.406
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 816.90 816.90 67.453 0.003778 **
## Residuals 3 36.33 12.11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7178.653
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 823.82 823.82 67.855 0.003746 **
## Residuals 3 36.42 12.14
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7208.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 830.78 830.78 68.257 0.003714 **
## Residuals 3 36.51 12.17
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7239.146
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 837.77 837.77 68.66 0.003682 **
## Residuals 3 36.61 12.20
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7269.393
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 844.78 844.78 69.062 0.003651 **
## Residuals 3 36.70 12.23
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7299.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 851.83 851.83 69.465 0.00362 **
## Residuals 3 36.79 12.26
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7329.886
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 858.90 858.90 69.868 0.00359 **
## Residuals 3 36.88 12.29
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7360.133
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 866.00 866.00 70.271 0.00356 **
## Residuals 3 36.97 12.32
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7390.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 873.14 873.14 70.674 0.003531 **
## Residuals 3 37.06 12.35
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7420.627
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 880.30 880.30 71.077 0.003502 **
## Residuals 3 37.16 12.39
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7450.873
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 887.49 887.49 71.48 0.003473 **
## Residuals 3 37.25 12.42
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7481.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 894.71 894.71 71.883 0.003445 **
## Residuals 3 37.34 12.45
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7511.367
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 901.96 901.96 72.286 0.003417 **
## Residuals 3 37.43 12.48
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7541.613
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 909.24 909.24 72.689 0.00339 **
## Residuals 3 37.53 12.51
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7571.86
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 916.54 916.54 73.093 0.003363 **
## Residuals 3 37.62 12.54
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7602.107
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 923.88 923.88 73.496 0.003336 **
## Residuals 3 37.71 12.57
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7632.354
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 931.25 931.25 73.9 0.003309 **
## Residuals 3 37.80 12.60
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7662.6
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 938.64 938.64 74.303 0.003283 **
## Residuals 3 37.90 12.63
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7692.847
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 946.07 946.07 74.707 0.003258 **
## Residuals 3 37.99 12.66
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7723.094
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 953.52 953.52 75.11 0.003232 **
## Residuals 3 38.08 12.69
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7753.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 961.01 961.01 75.514 0.003207 **
## Residuals 3 38.18 12.73
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7783.587
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 968.52 968.52 75.918 0.003182 **
## Residuals 3 38.27 12.76
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7813.834
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 976.06 976.06 76.321 0.003158 **
## Residuals 3 38.37 12.79
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7844.081
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 983.63 983.63 76.725 0.003134 **
## Residuals 3 38.46 12.82
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7874.327
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 991.23 991.23 77.129 0.00311 **
## Residuals 3 38.56 12.85
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7904.574
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 998.86 998.86 77.532 0.003086 **
## Residuals 3 38.65 12.88
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7934.821
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1006.52 1006.52 77.936 0.003063 **
## Residuals 3 38.74 12.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7965.067
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1014.21 1014.21 78.34 0.00304 **
## Residuals 3 38.84 12.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 7995.314
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1021.92 1021.92 78.743 0.003017 **
## Residuals 3 38.93 12.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8025.561
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1029.67 1029.67 79.147 0.002995 **
## Residuals 3 39.03 13.01
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8055.808
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1037.45 1037.45 79.55 0.002973 **
## Residuals 3 39.12 13.04
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8086.054
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1045.25 1045.25 79.954 0.002951 **
## Residuals 3 39.22 13.07
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8116.301
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1053.09 1053.09 80.357 0.00293 **
## Residuals 3 39.32 13.11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8146.548
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1060.95 1060.95 80.761 0.002908 **
## Residuals 3 39.41 13.14
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8176.794
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1068.84 1068.84 81.164 0.002887 **
## Residuals 3 39.51 13.17
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8207.041
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1076.8 1076.8 81.568 0.002866 **
## Residuals 3 39.6 13.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8237.288
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1084.7 1084.72 81.971 0.002846 **
## Residuals 3 39.7 13.23
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8267.535
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1092.7 1092.70 82.374 0.002826 **
## Residuals 3 39.8 13.27
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8297.781
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1100.71 1100.7 82.778 0.002806 **
## Residuals 3 39.89 13.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8328.028
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1108.75 1108.75 83.181 0.002786 **
## Residuals 3 39.99 13.33
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8358.275
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1116.81 1116.81 83.584 0.002766 **
## Residuals 3 40.08 13.36
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8388.521
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1124.91 1124.91 83.987 0.002747 **
## Residuals 3 40.18 13.39
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8418.768
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1133.04 1133.04 84.39 0.002728 **
## Residuals 3 40.28 13.43
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8449.015
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1141.20 1141.20 84.793 0.002709 **
## Residuals 3 40.38 13.46
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8479.262
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1149.38 1149.38 85.196 0.00269 **
## Residuals 3 40.47 13.49
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8509.508
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1157.60 1157.60 85.598 0.002672 **
## Residuals 3 40.57 13.52
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8539.755
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1165.84 1165.84 86.001 0.002654 **
## Residuals 3 40.67 13.56
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8570.002
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1174.11 1174.11 86.403 0.002636 **
## Residuals 3 40.77 13.59
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8600.248
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1182.42 1182.42 86.806 0.002618 **
## Residuals 3 40.86 13.62
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8630.495
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1190.75 1190.75 87.208 0.0026 **
## Residuals 3 40.96 13.65
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8660.742
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1199.11 1199.11 87.611 0.002583 **
## Residuals 3 41.06 13.69
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8690.988
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1207.50 1207.50 88.013 0.002565 **
## Residuals 3 41.16 13.72
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8721.235
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1215.92 1215.92 88.415 0.002548 **
## Residuals 3 41.26 13.75
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8751.482
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1224.37 1224.37 88.817 0.002532 **
## Residuals 3 41.36 13.79
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8781.729
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1232.84 1232.84 89.218 0.002515 **
## Residuals 3 41.45 13.82
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8811.975
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1241.35 1241.35 89.62 0.002499 **
## Residuals 3 41.55 13.85
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8842.222
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1249.89 1249.89 90.022 0.002482 **
## Residuals 3 41.65 13.88
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8872.469
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1258.45 1258.45 90.423 0.002466 **
## Residuals 3 41.75 13.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8902.715
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1267.05 1267.05 90.824 0.00245 **
## Residuals 3 41.85 13.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8932.962
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1275.67 1275.67 91.225 0.002435 **
## Residuals 3 41.95 13.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8963.209
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1284.33 1284.33 91.626 0.002419 **
## Residuals 3 42.05 14.02
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 8993.456
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1293.01 1293.01 92.027 0.002404 **
## Residuals 3 42.15 14.05
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9023.702
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1301.72 1301.72 92.428 0.002388 **
## Residuals 3 42.25 14.08
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9053.949
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1310.46 1310.46 92.829 0.002373 **
## Residuals 3 42.35 14.12
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9084.196
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1319.23 1319.23 93.229 0.002358 **
## Residuals 3 42.45 14.15
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9114.442
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1328.03 1328.03 93.629 0.002344 **
## Residuals 3 42.55 14.18
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9144.689
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1336.86 1336.86 94.029 0.002329 **
## Residuals 3 42.65 14.22
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9174.936
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1345.72 1345.72 94.429 0.002315 **
## Residuals 3 42.75 14.25
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9205.183
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1354.61 1354.61 94.829 0.0023 **
## Residuals 3 42.85 14.28
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9235.429
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1363.52 1363.52 95.229 0.002286 **
## Residuals 3 42.96 14.32
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9265.676
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1372.47 1372.47 95.628 0.002272 **
## Residuals 3 43.06 14.35
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9295.923
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1381.44 1381.44 96.028 0.002259 **
## Residuals 3 43.16 14.39
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9326.169
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1390.45 1390.45 96.427 0.002245 **
## Residuals 3 43.26 14.42
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9356.416
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1399.48 1399.48 96.826 0.002231 **
## Residuals 3 43.36 14.45
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9386.663
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1408.54 1408.54 97.224 0.002218 **
## Residuals 3 43.46 14.49
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9416.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1417.64 1417.64 97.623 0.002205 **
## Residuals 3 43.56 14.52
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9447.156
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1426.76 1426.76 98.021 0.002192 **
## Residuals 3 43.67 14.56
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9477.403
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1435.91 1435.91 98.419 0.002179 **
## Residuals 3 43.77 14.59
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9507.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1445.09 1445.09 98.817 0.002166 **
## Residuals 3 43.87 14.62
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9537.896
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1454.30 1454.30 99.215 0.002153 **
## Residuals 3 43.97 14.66
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9568.143
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1463.54 1463.54 99.613 0.002141 **
## Residuals 3 44.08 14.69
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9598.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1472.80 1472.80 100.01 0.002128 **
## Residuals 3 44.18 14.73
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9628.637
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1482.10 1482.10 100.41 0.002116 **
## Residuals 3 44.28 14.76
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9658.883
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1491.43 1491.4 100.8 0.002104 **
## Residuals 3 44.39 14.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9689.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1500.78 1500.78 101.2 0.002091 **
## Residuals 3 44.49 14.83
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9719.377
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1510.17 1510.17 101.6 0.00208 **
## Residuals 3 44.59 14.86
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9749.623
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1519.6 1519.6 101.99 0.002068 **
## Residuals 3 44.7 14.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9779.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1529.0 1529.02 102.39 0.002056 **
## Residuals 3 44.8 14.93
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9810.117
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1538.5 1538.50 102.79 0.002044 **
## Residuals 3 44.9 14.97
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9840.364
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1548.00 1548 103.18 0.002033 **
## Residuals 3 45.01 15
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9870.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1557.53 1557.53 103.58 0.002022 **
## Residuals 3 45.11 15.04
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9900.857
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1567.09 1567.09 103.97 0.00201 **
## Residuals 3 45.22 15.07
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9931.104
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1576.68 1576.68 104.37 0.001999 **
## Residuals 3 45.32 15.11
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9961.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1586.30 1586.30 104.76 0.001988 **
## Residuals 3 45.43 15.14
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 9991.597
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1595.94 1595.94 105.16 0.001977 **
## Residuals 3 45.53 15.18
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10021.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1605.62 1605.62 105.55 0.001966 **
## Residuals 3 45.64 15.21
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10052.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1615.33 1615.33 105.95 0.001956 **
## Residuals 3 45.74 15.25
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10082.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1625.06 1625.06 106.34 0.001945 **
## Residuals 3 45.85 15.28
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10112.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1634.83 1634.83 106.73 0.001934 **
## Residuals 3 45.95 15.32
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10142.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1644.62 1644.62 107.13 0.001924 **
## Residuals 3 46.06 15.35
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10173.08
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1654.45 1654.45 107.52 0.001914 **
## Residuals 3 46.16 15.39
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10203.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1664.30 1664.30 107.91 0.001904 **
## Residuals 3 46.27 15.42
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10233.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1674.18 1674.18 108.3 0.001893 **
## Residuals 3 46.37 15.46
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10263.82
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1684.09 1684.09 108.7 0.001883 **
## Residuals 3 46.48 15.49
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10294.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1694.03 1694.03 109.09 0.001873 **
## Residuals 3 46.59 15.53
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10324.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1704.00 1704.00 109.48 0.001864 **
## Residuals 3 46.69 15.56
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10354.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1714.0 1714.0 109.87 0.001854 **
## Residuals 3 46.8 15.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10384.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1724.03 1724.03 110.26 0.001844 **
## Residuals 3 46.91 15.64
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10415.05
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1734.09 1734.09 110.66 0.001835 **
## Residuals 3 47.01 15.67
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10445.3
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1744.17 1744.17 111.05 0.001825 **
## Residuals 3 47.12 15.71
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10475.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1754.29 1754.29 111.44 0.001816 **
## Residuals 3 47.23 15.74
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10505.79
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1764.43 1764.43 111.83 0.001807 **
## Residuals 3 47.33 15.78
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10536.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1774.61 1774.61 112.22 0.001797 **
## Residuals 3 47.44 15.81
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10566.28
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1784.81 1784.81 112.61 0.001788 **
## Residuals 3 47.55 15.85
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10596.53
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1795.05 1795.05 113 0.001779 **
## Residuals 3 47.66 15.89
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10626.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1805.31 1805.31 113.39 0.00177 **
## Residuals 3 47.77 15.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10657.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1815.60 1815.60 113.77 0.001761 **
## Residuals 3 47.87 15.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10687.27
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1825.92 1825.92 114.16 0.001752 **
## Residuals 3 47.98 15.99
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10717.52
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1836.27 1836.27 114.55 0.001744 **
## Residuals 3 48.09 16.03
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10747.76
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1846.7 1846.65 114.94 0.001735 **
## Residuals 3 48.2 16.07
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10778.01
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1857.06 1857.1 115.33 0.001727 **
## Residuals 3 48.31 16.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10808.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1867.49 1867.49 115.71 0.001718 **
## Residuals 3 48.42 16.14
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10838.5
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1877.96 1877.96 116.1 0.00171 **
## Residuals 3 48.53 16.18
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10868.75
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1888.46 1888.46 116.49 0.001701 **
## Residuals 3 48.63 16.21
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10899
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1898.98 1898.98 116.87 0.001693 **
## Residuals 3 48.74 16.25
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10929.25
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1909.54 1909.54 117.26 0.001685 **
## Residuals 3 48.85 16.28
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10959.49
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1920.12 1920.12 117.65 0.001677 **
## Residuals 3 48.96 16.32
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 10989.74
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1930.74 1930.74 118.03 0.001669 **
## Residuals 3 49.07 16.36
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11019.99
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1941.38 1941.38 118.42 0.001661 **
## Residuals 3 49.18 16.39
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11050.23
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1952.05 1952.05 118.8 0.001653 **
## Residuals 3 49.29 16.43
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11080.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1962.8 1962.75 119.19 0.001645 **
## Residuals 3 49.4 16.47
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11110.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1973.48 1973.5 119.57 0.001637 **
## Residuals 3 49.51 16.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11140.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1984.24 1984.24 119.96 0.001629 **
## Residuals 3 49.62 16.54
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11171.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 1995.03 1995.03 120.34 0.001622 **
## Residuals 3 49.73 16.58
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11201.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2005.85 2005.85 120.72 0.001614 **
## Residuals 3 49.85 16.62
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11231.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2016.69 2016.69 121.11 0.001607 **
## Residuals 3 49.96 16.65
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11261.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2027.57 2027.57 121.49 0.001599 **
## Residuals 3 50.07 16.69
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11292.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2038.48 2038.48 121.87 0.001592 **
## Residuals 3 50.18 16.73
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11322.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2049.41 2049.41 122.26 0.001585 **
## Residuals 3 50.29 16.76
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11352.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2060.4 2060.4 122.64 0.001577 **
## Residuals 3 50.4 16.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11382.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2071.37 2071.37 123.02 0.00157 **
## Residuals 3 50.51 16.84
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11413.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2082.39 2082.39 123.4 0.001563 **
## Residuals 3 50.62 16.87
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11443.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2093.44 2093.44 123.78 0.001556 **
## Residuals 3 50.74 16.91
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11473.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2104.52 2104.52 124.16 0.001549 **
## Residuals 3 50.85 16.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11503.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2115.63 2115.63 124.54 0.001542 **
## Residuals 3 50.96 16.99
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11534.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2126.77 2126.77 124.92 0.001535 **
## Residuals 3 51.07 17.02
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11564.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2137.94 2137.94 125.3 0.001528 **
## Residuals 3 51.19 17.06
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11594.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2149.1 2149.1 125.68 0.001521 **
## Residuals 3 51.3 17.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11624.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2160.37 2160.37 126.06 0.001515 **
## Residuals 3 51.41 17.14
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11655.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2171.63 2171.63 126.44 0.001508 **
## Residuals 3 51.52 17.17
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11685.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2182.91 2182.91 126.82 0.001501 **
## Residuals 3 51.64 17.21
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11715.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2194.23 2194.23 127.2 0.001495 **
## Residuals 3 51.75 17.25
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11745.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2205.57 2205.57 127.58 0.001488 **
## Residuals 3 51.86 17.29
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11776.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2216.94 2216.94 127.95 0.001482 **
## Residuals 3 51.98 17.33
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11806.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2228.35 2228.35 128.33 0.001475 **
## Residuals 3 52.09 17.36
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11836.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2239.78 2239.8 128.71 0.001469 **
## Residuals 3 52.21 17.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11866.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2251.24 2251.24 129.08 0.001463 **
## Residuals 3 52.32 17.44
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11897.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2262.73 2262.73 129.46 0.001457 **
## Residuals 3 52.43 17.48
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11927.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2274.25 2274.25 129.84 0.00145 **
## Residuals 3 52.55 17.52
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11957.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2285.80 2285.80 130.21 0.001444 **
## Residuals 3 52.66 17.55
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 11987.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2297.38 2297.38 130.59 0.001438 **
## Residuals 3 52.78 17.59
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12018.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2308.99 2308.99 130.96 0.001432 **
## Residuals 3 52.89 17.63
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12048.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2320.62 2320.62 131.34 0.001426 **
## Residuals 3 53.01 17.67
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12078.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2332.29 2332.29 131.71 0.00142 **
## Residuals 3 53.12 17.71
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12108.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2343.99 2343.99 132.09 0.001414 **
## Residuals 3 53.24 17.75
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12139.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2355.71 2355.71 132.46 0.001408 **
## Residuals 3 53.35 17.78
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12169.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2367.46 2367.46 132.83 0.001402 **
## Residuals 3 53.47 17.82
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12199.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2379.25 2379.25 133.2 0.001397 **
## Residuals 3 53.58 17.86
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12229.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2391.1 2391.1 133.58 0.001391 **
## Residuals 3 53.7 17.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12260.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2402.90 2402.90 133.95 0.001385 **
## Residuals 3 53.82 17.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12290.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2414.77 2414.77 134.32 0.00138 **
## Residuals 3 53.93 17.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12320.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2426.67 2426.67 134.69 0.001374 **
## Residuals 3 54.05 18.02
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12350.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2438.60 2438.60 135.06 0.001368 **
## Residuals 3 54.17 18.06
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12381.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2450.56 2450.56 135.43 0.001363 **
## Residuals 3 54.28 18.09
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12411.33
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2462.6 2462.55 135.81 0.001357 **
## Residuals 3 54.4 18.13
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12441.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2474.57 2474.57 136.18 0.001352 **
## Residuals 3 54.52 18.17
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12471.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2486.61 2486.61 136.54 0.001347 **
## Residuals 3 54.63 18.21
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12502.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2498.69 2498.69 136.91 0.001341 **
## Residuals 3 54.75 18.25
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12532.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2510.79 2510.79 137.28 0.001336 **
## Residuals 3 54.87 18.29
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12562.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2522.93 2522.93 137.65 0.001331 **
## Residuals 3 54.98 18.33
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12592.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2535.1 2535.09 138.02 0.001325 **
## Residuals 3 55.1 18.37
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12623.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2547.28 2547.28 138.39 0.00132 **
## Residuals 3 55.22 18.41
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12653.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2559.51 2559.51 138.76 0.001315 **
## Residuals 3 55.34 18.45
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12683.55
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2571.76 2571.76 139.12 0.00131 **
## Residuals 3 55.46 18.49
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12713.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2584.04 2584.04 139.49 0.001305 **
## Residuals 3 55.57 18.52
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12744.05
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2596.35 2596.35 139.86 0.0013 **
## Residuals 3 55.69 18.56
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12774.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2608.69 2608.7 140.22 0.001295 **
## Residuals 3 55.81 18.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12804.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2621.05 2621.05 140.59 0.00129 **
## Residuals 3 55.93 18.64
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12834.79
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2633.45 2633.45 140.95 0.001285 **
## Residuals 3 56.05 18.68
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12865.03
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2645.88 2645.88 141.32 0.00128 **
## Residuals 3 56.17 18.72
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12895.28
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2658.33 2658.33 141.68 0.001275 **
## Residuals 3 56.29 18.76
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12925.53
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2670.82 2670.8 142.05 0.00127 **
## Residuals 3 56.41 18.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12955.77
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2683.33 2683.33 142.41 0.001266 **
## Residuals 3 56.53 18.84
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 12986.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2695.88 2695.88 142.78 0.001261 **
## Residuals 3 56.65 18.88
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13016.27
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2708.45 2708.45 143.14 0.001256 **
## Residuals 3 56.77 18.92
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13046.51
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2721.05 2721.05 143.5 0.001251 **
## Residuals 3 56.89 18.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13076.76
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2733.68 2733.7 143.86 0.001247 **
## Residuals 3 57.01 19.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13107.01
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2746.35 2746.35 144.23 0.001242 **
## Residuals 3 57.13 19.04
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13137.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2759.04 2759.04 144.59 0.001238 **
## Residuals 3 57.25 19.08
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13167.5
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2771.75 2771.75 144.95 0.001233 **
## Residuals 3 57.37 19.12
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13197.75
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2784.50 2784.50 145.31 0.001228 **
## Residuals 3 57.49 19.16
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13228
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2797.28 2797.3 145.67 0.001224 **
## Residuals 3 57.61 19.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13258.24
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2810.09 2810.09 146.03 0.00122 **
## Residuals 3 57.73 19.24
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13288.49
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2822.92 2822.92 146.39 0.001215 **
## Residuals 3 57.85 19.28
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13318.74
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2835.79 2835.79 146.75 0.001211 **
## Residuals 3 57.97 19.32
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13348.98
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2848.68 2848.68 147.11 0.001206 **
## Residuals 3 58.09 19.36
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13379.23
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2861.61 2861.6 147.47 0.001202 **
## Residuals 3 58.21 19.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13409.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2874.56 2874.56 147.83 0.001198 **
## Residuals 3 58.34 19.45
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13439.72
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2887.54 2887.54 148.19 0.001193 **
## Residuals 3 58.46 19.49
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13469.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2900.56 2900.56 148.54 0.001189 **
## Residuals 3 58.58 19.53
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13500.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2913.6 2913.60 148.9 0.001185 **
## Residuals 3 58.7 19.57
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13530.46
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2926.67 2926.67 149.26 0.001181 **
## Residuals 3 58.82 19.61
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13560.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2939.77 2939.77 149.62 0.001177 **
## Residuals 3 58.95 19.65
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13590.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2952.89 2952.89 149.97 0.001173 **
## Residuals 3 59.07 19.69
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13621.2
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2966.05 2966.05 150.33 0.001168 **
## Residuals 3 59.19 19.73
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13651.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2979.24 2979.24 150.68 0.001164 **
## Residuals 3 59.31 19.77
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13681.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 2992.46 2992.46 151.04 0.00116 **
## Residuals 3 59.44 19.81
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13711.94
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3005.70 3005.70 151.39 0.001156 **
## Residuals 3 59.56 19.85
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13742.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3018.98 3018.98 151.75 0.001152 **
## Residuals 3 59.68 19.89
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13772.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3032.28 3032.28 152.1 0.001148 **
## Residuals 3 59.81 19.94
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13802.68
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3045.61 3045.61 152.46 0.001144 **
## Residuals 3 59.93 19.98
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13832.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3058.98 3058.98 152.81 0.001141 **
## Residuals 3 60.06 20.02
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13863.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3072.37 3072.37 153.16 0.001137 **
## Residuals 3 60.18 20.06
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13893.42
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3085.8 3085.8 153.51 0.001133 **
## Residuals 3 60.3 20.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13923.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3099.24 3099.24 153.87 0.001129 **
## Residuals 3 60.43 20.14
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13953.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3112.72 3112.72 154.22 0.001125 **
## Residuals 3 60.55 20.18
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 13984.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3126.23 3126.23 154.57 0.001121 **
## Residuals 3 60.68 20.23
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14014.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3139.8 3139.77 154.92 0.001118 **
## Residuals 3 60.8 20.27
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14044.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3153.34 3153.34 155.27 0.001114 **
## Residuals 3 60.93 20.31
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14074.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3166.9 3166.9 155.62 0.00111 **
## Residuals 3 61.1 20.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14105.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3180.6 3180.6 155.97 0.001107 **
## Residuals 3 61.2 20.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14135.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3194.2 3194.2 156.32 0.001103 **
## Residuals 3 61.3 20.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14165.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3207.9 3207.9 156.67 0.001099 **
## Residuals 3 61.4 20.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14195.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3221.6 3221.6 157.02 0.001096 **
## Residuals 3 61.6 20.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14226.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3235.4 3235.4 157.37 0.001092 **
## Residuals 3 61.7 20.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14256.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3249.1 3249.1 157.72 0.001089 **
## Residuals 3 61.8 20.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14286.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3262.9 3262.9 158.06 0.001085 **
## Residuals 3 61.9 20.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14316.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3276.8 3276.8 158.41 0.001081 **
## Residuals 3 62.1 20.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14347.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3290.6 3290.6 158.76 0.001078 **
## Residuals 3 62.2 20.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14377.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3304.5 3304.5 159.1 0.001075 **
## Residuals 3 62.3 20.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14407.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3318.4 3318.4 159.45 0.001071 **
## Residuals 3 62.4 20.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14437.86
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3332.4 3332.4 159.8 0.001068 **
## Residuals 3 62.6 20.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14468.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3346.4 3346.4 160.14 0.001064 **
## Residuals 3 62.7 20.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14498.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3360.4 3360.4 160.49 0.001061 **
## Residuals 3 62.8 20.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14528.6
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3374.4 3374.4 160.83 0.001058 **
## Residuals 3 62.9 21.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14558.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3388.5 3388.5 161.17 0.001054 **
## Residuals 3 63.1 21.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14589.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3402.6 3402.6 161.52 0.001051 **
## Residuals 3 63.2 21.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14619.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3416.7 3416.7 161.86 0.001048 **
## Residuals 3 63.3 21.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14649.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3430.8 3430.8 162.2 0.001044 **
## Residuals 3 63.5 21.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14679.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3445.0 3445.0 162.55 0.001041 **
## Residuals 3 63.6 21.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14710.08
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3459.2 3459.2 162.89 0.001038 **
## Residuals 3 63.7 21.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14740.33
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3473.5 3473.5 163.23 0.001035 **
## Residuals 3 63.8 21.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14770.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3487.7 3487.7 163.57 0.001031 **
## Residuals 3 64.0 21.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14800.82
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3502.0 3502.0 163.91 0.001028 **
## Residuals 3 64.1 21.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14831.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3516.4 3516.4 164.26 0.001025 **
## Residuals 3 64.2 21.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14861.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3530.7 3530.7 164.6 0.001022 **
## Residuals 3 64.4 21.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14891.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3545.1 3545.1 164.94 0.001019 **
## Residuals 3 64.5 21.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14921.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3559.5 3559.5 165.28 0.001016 **
## Residuals 3 64.6 21.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14952.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3574.0 3574.0 165.61 0.001013 **
## Residuals 3 64.7 21.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 14982.3
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3588.4 3588.4 165.95 0.00101 **
## Residuals 3 64.9 21.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15012.55
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3602.9 3602.9 166.29 0.001007 **
## Residuals 3 65.0 21.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15042.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3617.5 3617.5 166.63 0.001004 **
## Residuals 3 65.1 21.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15073.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3632.0 3632.0 166.97 0.001001 **
## Residuals 3 65.3 21.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15103.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3646.6 3646.6 167.3 0.0009976 ***
## Residuals 3 65.4 21.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15133.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3661.2 3661.2 167.64 0.0009946 ***
## Residuals 3 65.5 21.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15163.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3675.9 3675.9 167.98 0.0009917 ***
## Residuals 3 65.6 21.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15194.03
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3690.6 3690.6 168.31 0.0009887 ***
## Residuals 3 65.8 21.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15224.28
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3705.3 3705.3 168.65 0.0009858 ***
## Residuals 3 65.9 22.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15254.52
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3720 3720 168.99 0.0009829 ***
## Residuals 3 66 22
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15284.77
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3734.8 3734.8 169.32 0.00098 ***
## Residuals 3 66.2 22.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15315.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3749.6 3749.6 169.66 0.0009772 ***
## Residuals 3 66.3 22.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15345.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3764.4 3764.4 169.99 0.0009743 ***
## Residuals 3 66.4 22.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15375.51
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3779.3 3779.3 170.32 0.0009715 ***
## Residuals 3 66.6 22.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15405.76
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3794.1 3794.1 170.66 0.0009687 ***
## Residuals 3 66.7 22.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15436.01
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3809.1 3809.1 170.99 0.0009659 ***
## Residuals 3 66.8 22.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15466.25
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3824 3824.0 171.32 0.0009632 ***
## Residuals 3 67 22.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15496.5
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3839.0 3839.0 171.66 0.0009604 ***
## Residuals 3 67.1 22.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15526.75
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3854.0 3854.0 171.99 0.0009577 ***
## Residuals 3 67.2 22.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15556.99
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3869.0 3869.0 172.32 0.0009549 ***
## Residuals 3 67.4 22.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15587.24
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3884.1 3884.1 172.65 0.0009522 ***
## Residuals 3 67.5 22.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15617.49
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3899.2 3899.2 172.98 0.0009495 ***
## Residuals 3 67.6 22.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15647.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3914.3 3914.3 173.31 0.0009468 ***
## Residuals 3 67.8 22.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15677.98
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3929.4 3929.4 173.64 0.0009442 ***
## Residuals 3 67.9 22.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15708.23
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3944.6 3944.6 173.97 0.0009415 ***
## Residuals 3 68.0 22.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15738.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3959.8 3959.8 174.3 0.0009389 ***
## Residuals 3 68.2 22.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15768.72
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3975.0 3975.0 174.63 0.0009363 ***
## Residuals 3 68.3 22.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15798.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 3990.3 3990.3 174.96 0.0009337 ***
## Residuals 3 68.4 22.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15829.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4005.6 4005.6 175.29 0.0009311 ***
## Residuals 3 68.6 22.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15859.46
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4020.9 4020.9 175.61 0.0009285 ***
## Residuals 3 68.7 22.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15889.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4036.3 4036.3 175.94 0.000926 ***
## Residuals 3 68.8 22.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15919.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4051.6 4051.6 176.27 0.0009234 ***
## Residuals 3 69.0 23.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15950.2
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4067.1 4067.1 176.6 0.0009209 ***
## Residuals 3 69.1 23.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 15980.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4082.5 4082.5 176.92 0.0009184 ***
## Residuals 3 69.2 23.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16010.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4098.0 4098.0 177.25 0.0009159 ***
## Residuals 3 69.4 23.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16040.94
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4113.5 4113.5 177.57 0.0009134 ***
## Residuals 3 69.5 23.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16071.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4129.0 4129.0 177.9 0.000911 ***
## Residuals 3 69.6 23.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16101.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4144.5 4144.5 178.22 0.0009085 ***
## Residuals 3 69.8 23.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16131.68
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4160.1 4160.1 178.55 0.0009061 ***
## Residuals 3 69.9 23.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16161.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4175.7 4175.7 178.87 0.0009036 ***
## Residuals 3 70.0 23.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16192.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4191.4 4191.4 179.19 0.0009012 ***
## Residuals 3 70.2 23.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16222.42
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4207.1 4207.1 179.52 0.0008988 ***
## Residuals 3 70.3 23.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16252.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4222.8 4222.8 179.84 0.0008964 ***
## Residuals 3 70.4 23.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16282.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4238.5 4238.5 180.16 0.000894 ***
## Residuals 3 70.6 23.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16313.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4254.3 4254.3 180.49 0.0008917 ***
## Residuals 3 70.7 23.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16343.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4270.1 4270.1 180.81 0.0008893 ***
## Residuals 3 70.8 23.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16373.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4285.9 4285.9 181.13 0.000887 ***
## Residuals 3 71.0 23.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16403.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4301.7 4301.7 181.45 0.0008847 ***
## Residuals 3 71.1 23.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16434.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4317.6 4317.6 181.77 0.0008824 ***
## Residuals 3 71.3 23.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16464.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4333.5 4333.5 182.09 0.0008801 ***
## Residuals 3 71.4 23.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16494.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4349.4 4349.4 182.41 0.0008778 ***
## Residuals 3 71.5 23.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16524.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4365.4 4365.4 182.73 0.0008755 ***
## Residuals 3 71.7 23.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16555.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4381.4 4381.4 183.05 0.0008733 ***
## Residuals 3 71.8 23.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16585.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4397.4 4397.4 183.37 0.000871 ***
## Residuals 3 71.9 24.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16615.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4413.5 4413.5 183.69 0.0008688 ***
## Residuals 3 72.1 24.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16645.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4429.6 4429.6 184 0.0008666 ***
## Residuals 3 72.2 24.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16676.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4445.7 4445.7 184.32 0.0008644 ***
## Residuals 3 72.4 24.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16706.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4461.8 4461.8 184.64 0.0008622 ***
## Residuals 3 72.5 24.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16736.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4478.0 4478.0 184.95 0.00086 ***
## Residuals 3 72.6 24.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16766.86
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4494.2 4494.2 185.27 0.0008578 ***
## Residuals 3 72.8 24.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16797.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4510.4 4510.4 185.59 0.0008556 ***
## Residuals 3 72.9 24.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16827.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4526.7 4526.7 185.9 0.0008535 ***
## Residuals 3 73.0 24.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16857.6
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4543.0 4543.0 186.22 0.0008513 ***
## Residuals 3 73.2 24.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16887.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4559.3 4559.3 186.53 0.0008492 ***
## Residuals 3 73.3 24.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16918.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4575.6 4575.6 186.85 0.0008471 ***
## Residuals 3 73.5 24.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16948.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4592.0 4592.0 187.16 0.000845 ***
## Residuals 3 73.6 24.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 16978.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4608.4 4608.4 187.48 0.0008429 ***
## Residuals 3 73.7 24.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17008.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4624.8 4624.8 187.79 0.0008408 ***
## Residuals 3 73.9 24.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17039.08
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4641.3 4641.3 188.1 0.0008387 ***
## Residuals 3 74.0 24.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17069.33
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4657.8 4657.8 188.41 0.0008367 ***
## Residuals 3 74.2 24.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17099.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4674.3 4674.3 188.73 0.0008346 ***
## Residuals 3 74.3 24.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17129.82
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4690.9 4690.9 189.04 0.0008326 ***
## Residuals 3 74.4 24.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17160.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4707.5 4707.5 189.35 0.0008306 ***
## Residuals 3 74.6 24.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17190.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4724.1 4724.1 189.66 0.0008286 ***
## Residuals 3 74.7 24.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17220.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4740.7 4740.7 189.97 0.0008265 ***
## Residuals 3 74.9 25.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17250.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4757.4 4757.4 190.28 0.0008246 ***
## Residuals 3 75.0 25.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17281.05
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4774.1 4774.1 190.59 0.0008226 ***
## Residuals 3 75.1 25.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17311.3
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4790.8 4790.8 190.9 0.0008206 ***
## Residuals 3 75.3 25.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17341.55
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4807.5 4807.5 191.21 0.0008186 ***
## Residuals 3 75.4 25.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17371.79
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4824.3 4824.3 191.52 0.0008167 ***
## Residuals 3 75.6 25.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17402.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4841.1 4841.1 191.83 0.0008147 ***
## Residuals 3 75.7 25.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17432.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4858.0 4858.0 192.14 0.0008128 ***
## Residuals 3 75.9 25.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17462.53
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4874.9 4874.9 192.44 0.0008109 ***
## Residuals 3 76.0 25.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17492.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4891.8 4891.8 192.75 0.0008089 ***
## Residuals 3 76.1 25.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17523.03
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4908.7 4908.7 193.06 0.000807 ***
## Residuals 3 76.3 25.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17553.27
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4925.7 4925.7 193.37 0.0008051 ***
## Residuals 3 76.4 25.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17583.52
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4942.6 4942.6 193.67 0.0008033 ***
## Residuals 3 76.6 25.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17613.77
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4959.7 4959.7 193.98 0.0008014 ***
## Residuals 3 76.7 25.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17644.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4976.7 4976.7 194.28 0.0007995 ***
## Residuals 3 76.8 25.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17674.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 4993.8 4993.8 194.59 0.0007977 ***
## Residuals 3 77.0 25.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17704.51
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5010.9 5010.9 194.89 0.0007958 ***
## Residuals 3 77.1 25.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17734.76
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5028.0 5028.0 195.2 0.000794 ***
## Residuals 3 77.3 25.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17765
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5045.2 5045.2 195.5 0.0007921 ***
## Residuals 3 77.4 25.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17795.25
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5062.4 5062.4 195.81 0.0007903 ***
## Residuals 3 77.6 25.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17825.5
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5079.6 5079.6 196.11 0.0007885 ***
## Residuals 3 77.7 25.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17855.74
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5096.9 5096.9 196.41 0.0007867 ***
## Residuals 3 77.8 25.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17885.99
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5114.2 5114.2 196.71 0.0007849 ***
## Residuals 3 78.0 26.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17916.24
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5131.5 5131.5 197.02 0.0007831 ***
## Residuals 3 78.1 26.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17946.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5148.8 5148.8 197.32 0.0007814 ***
## Residuals 3 78.3 26.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 17976.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5166.2 5166.2 197.62 0.0007796 ***
## Residuals 3 78.4 26.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18006.98
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5183.6 5183.6 197.92 0.0007778 ***
## Residuals 3 78.6 26.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18037.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5201.0 5201.0 198.22 0.0007761 ***
## Residuals 3 78.7 26.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18067.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5218.5 5218.5 198.52 0.0007743 ***
## Residuals 3 78.9 26.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18097.72
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5235.9 5235.9 198.82 0.0007726 ***
## Residuals 3 79.0 26.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18127.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5253.5 5253.5 199.12 0.0007709 ***
## Residuals 3 79.1 26.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18158.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5271.0 5271.0 199.42 0.0007692 ***
## Residuals 3 79.3 26.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18188.46
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5288.6 5288.6 199.72 0.0007675 ***
## Residuals 3 79.4 26.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18218.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5306.2 5306.2 200.02 0.0007658 ***
## Residuals 3 79.6 26.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18248.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5323.8 5323.8 200.32 0.0007641 ***
## Residuals 3 79.7 26.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18279.2
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5341.5 5341.5 200.62 0.0007624 ***
## Residuals 3 79.9 26.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18309.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5359.2 5359.2 200.91 0.0007607 ***
## Residuals 3 80.0 26.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18339.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5376.9 5376.9 201.21 0.0007591 ***
## Residuals 3 80.2 26.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18369.94
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5394.6 5394.6 201.51 0.0007574 ***
## Residuals 3 80.3 26.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18400.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5412.4 5412.4 201.8 0.0007558 ***
## Residuals 3 80.5 26.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18430.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5430.2 5430.2 202.1 0.0007541 ***
## Residuals 3 80.6 26.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18460.68
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5448.1 5448.1 202.39 0.0007525 ***
## Residuals 3 80.8 26.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18490.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5465.9 5465.9 202.69 0.0007509 ***
## Residuals 3 80.9 27.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18521.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5483.8 5483.8 202.99 0.0007492 ***
## Residuals 3 81.0 27.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18551.42
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5501.8 5501.8 203.28 0.0007476 ***
## Residuals 3 81.2 27.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18581.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5519.7 5519.7 203.57 0.000746 ***
## Residuals 3 81.3 27.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18611.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5537.7 5537.7 203.87 0.0007444 ***
## Residuals 3 81.5 27.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18642.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5555.7 5555.7 204.16 0.0007429 ***
## Residuals 3 81.6 27.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18672.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5573.8 5573.8 204.45 0.0007413 ***
## Residuals 3 81.8 27.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18702.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5591.8 5591.8 204.75 0.0007397 ***
## Residuals 3 81.9 27.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18732.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5609.9 5609.9 205.04 0.0007381 ***
## Residuals 3 82.1 27.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18763.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5628.1 5628.1 205.33 0.0007366 ***
## Residuals 3 82.2 27.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18793.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5646.2 5646.2 205.62 0.000735 ***
## Residuals 3 82.4 27.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18823.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5664.4 5664.4 205.91 0.0007335 ***
## Residuals 3 82.5 27.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18853.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5682.6 5682.6 206.21 0.000732 ***
## Residuals 3 82.7 27.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18884.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5700.9 5700.9 206.5 0.0007304 ***
## Residuals 3 82.8 27.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18914.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5719.2 5719.2 206.79 0.0007289 ***
## Residuals 3 83.0 27.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18944.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5737.5 5737.5 207.08 0.0007274 ***
## Residuals 3 83.1 27.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 18974.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5755.8 5755.8 207.37 0.0007259 ***
## Residuals 3 83.3 27.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19005.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5774.2 5774.2 207.66 0.0007244 ***
## Residuals 3 83.4 27.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19035.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5792.6 5792.6 207.94 0.0007229 ***
## Residuals 3 83.6 27.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19065.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5811.0 5811.0 208.23 0.0007214 ***
## Residuals 3 83.7 27.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19095.86
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5829.4 5829.4 208.52 0.0007199 ***
## Residuals 3 83.9 28.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19126.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5847.9 5847.9 208.81 0.0007185 ***
## Residuals 3 84.0 28.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19156.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5866.4 5866.4 209.1 0.000717 ***
## Residuals 3 84.2 28.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19186.6
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5885.0 5885.0 209.38 0.0007156 ***
## Residuals 3 84.3 28.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19216.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5903.5 5903.5 209.67 0.0007141 ***
## Residuals 3 84.5 28.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19247.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5922.1 5922.1 209.96 0.0007127 ***
## Residuals 3 84.6 28.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19277.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5940.8 5940.8 210.24 0.0007112 ***
## Residuals 3 84.8 28.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19307.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5959.4 5959.4 210.53 0.0007098 ***
## Residuals 3 84.9 28.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19337.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5978.1 5978.1 210.81 0.0007084 ***
## Residuals 3 85.1 28.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19368.08
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 5996.8 5996.8 211.1 0.0007069 ***
## Residuals 3 85.2 28.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19398.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6015.6 6015.6 211.38 0.0007055 ***
## Residuals 3 85.4 28.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19428.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6034.3 6034.3 211.67 0.0007041 ***
## Residuals 3 85.5 28.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19458.82
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6053.1 6053.1 211.95 0.0007027 ***
## Residuals 3 85.7 28.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19489.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6072.0 6072.0 212.24 0.0007013 ***
## Residuals 3 85.8 28.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19519.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6090.8 6090.8 212.52 7e-04 ***
## Residuals 3 86.0 28.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19549.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6109.7 6109.7 212.8 0.0006986 ***
## Residuals 3 86.1 28.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19579.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6128.6 6128.6 213.08 0.0006972 ***
## Residuals 3 86.3 28.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19610.05
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6147.6 6147.6 213.37 0.0006958 ***
## Residuals 3 86.4 28.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19640.3
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6166.6 6166.6 213.65 0.0006945 ***
## Residuals 3 86.6 28.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19670.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6185.6 6185.6 213.93 0.0006931 ***
## Residuals 3 86.7 28.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19700.79
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6204.6 6204.6 214.21 0.0006918 ***
## Residuals 3 86.9 29.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19731.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6223.7 6223.7 214.49 0.0006904 ***
## Residuals 3 87.0 29.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19761.28
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6242.8 6242.8 214.77 0.0006891 ***
## Residuals 3 87.2 29.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19791.53
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6261.9 6261.9 215.05 0.0006878 ***
## Residuals 3 87.4 29.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19821.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6281.1 6281.1 215.33 0.0006864 ***
## Residuals 3 87.5 29.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19852.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6300.2 6300.2 215.61 0.0006851 ***
## Residuals 3 87.7 29.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19882.27
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6319.5 6319.5 215.89 0.0006838 ***
## Residuals 3 87.8 29.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19912.52
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6338.7 6338.7 216.17 0.0006825 ***
## Residuals 3 88.0 29.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19942.77
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6358.0 6358.0 216.45 0.0006812 ***
## Residuals 3 88.1 29.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 19973.01
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6377.3 6377.3 216.72 0.0006799 ***
## Residuals 3 88.3 29.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20003.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6396.6 6396.6 217 0.0006786 ***
## Residuals 3 88.4 29.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20033.51
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6416.0 6416.0 217.28 0.0006773 ***
## Residuals 3 88.6 29.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20063.75
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6435.4 6435.4 217.56 0.000676 ***
## Residuals 3 88.7 29.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20094
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6454.8 6454.8 217.83 0.0006748 ***
## Residuals 3 88.9 29.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20124.25
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6474.2 6474.2 218.11 0.0006735 ***
## Residuals 3 89.0 29.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20154.49
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6493.7 6493.7 218.39 0.0006722 ***
## Residuals 3 89.2 29.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20184.74
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6513.2 6513.2 218.66 0.000671 ***
## Residuals 3 89.4 29.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20214.99
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6532.7 6532.7 218.94 0.0006697 ***
## Residuals 3 89.5 29.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20245.23
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6552.3 6552.3 219.21 0.0006685 ***
## Residuals 3 89.7 29.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20275.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6571.9 6571.9 219.49 0.0006672 ***
## Residuals 3 89.8 29.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20305.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6591.5 6591.5 219.76 0.000666 ***
## Residuals 3 90.0 30.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20335.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6611.2 6611.2 220.03 0.0006648 ***
## Residuals 3 90.1 30.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20366.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6630.8 6630.8 220.31 0.0006635 ***
## Residuals 3 90.3 30.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20396.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6650.6 6650.6 220.58 0.0006623 ***
## Residuals 3 90.5 30.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20426.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6670.3 6670.3 220.85 0.0006611 ***
## Residuals 3 90.6 30.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20456.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6690.1 6690.1 221.13 0.0006599 ***
## Residuals 3 90.8 30.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20487.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6709.9 6709.9 221.4 0.0006587 ***
## Residuals 3 90.9 30.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20517.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6729.7 6729.7 221.67 0.0006575 ***
## Residuals 3 91.1 30.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20547.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6749.5 6749.5 221.94 0.0006563 ***
## Residuals 3 91.2 30.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20577.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6769.4 6769.4 222.21 0.0006551 ***
## Residuals 3 91.4 30.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20608.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6789.3 6789.3 222.48 0.0006539 ***
## Residuals 3 91.5 30.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20638.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6809.3 6809.3 222.76 0.0006528 ***
## Residuals 3 91.7 30.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20668.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6829.3 6829.3 223.03 0.0006516 ***
## Residuals 3 91.9 30.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20698.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6849.3 6849.3 223.3 0.0006504 ***
## Residuals 3 92.0 30.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20729.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6869.3 6869.3 223.57 0.0006493 ***
## Residuals 3 92.2 30.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20759.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6889.4 6889.4 223.83 0.0006481 ***
## Residuals 3 92.3 30.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20789.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6909.4 6909.4 224.1 0.0006469 ***
## Residuals 3 92.5 30.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20819.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6929.6 6929.6 224.37 0.0006458 ***
## Residuals 3 92.7 30.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20850.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6949.7 6949.7 224.64 0.0006446 ***
## Residuals 3 92.8 30.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20880.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6969.9 6969.9 224.91 0.0006435 ***
## Residuals 3 93.0 31.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20910.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 6990.1 6990.1 225.18 0.0006424 ***
## Residuals 3 93.1 31.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20940.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7010.3 7010.3 225.44 0.0006412 ***
## Residuals 3 93.3 31.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 20971.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7030.6 7030.6 225.71 0.0006401 ***
## Residuals 3 93.4 31.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21001.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7050.9 7050.9 225.98 0.000639 ***
## Residuals 3 93.6 31.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21031.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7071.2 7071.2 226.24 0.0006379 ***
## Residuals 3 93.8 31.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21061.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7091.6 7091.6 226.51 0.0006368 ***
## Residuals 3 93.9 31.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21092.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7112.0 7112.0 226.77 0.0006357 ***
## Residuals 3 94.1 31.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21122.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7132.4 7132.4 227.04 0.0006346 ***
## Residuals 3 94.2 31.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21152.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7152.8 7152.8 227.3 0.0006335 ***
## Residuals 3 94.4 31.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21182.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7173.3 7173.3 227.57 0.0006324 ***
## Residuals 3 94.6 31.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21213.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7193.8 7193.8 227.83 0.0006313 ***
## Residuals 3 94.7 31.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21243.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7214.3 7214.3 228.1 0.0006302 ***
## Residuals 3 94.9 31.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21273.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7234.9 7234.9 228.36 0.0006291 ***
## Residuals 3 95.0 31.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21303.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7255.5 7255.5 228.62 0.000628 ***
## Residuals 3 95.2 31.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21334.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7276.1 7276.1 228.89 0.000627 ***
## Residuals 3 95.4 31.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21364.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7296.7 7296.7 229.15 0.0006259 ***
## Residuals 3 95.5 31.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21394.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7317.4 7317.4 229.41 0.0006248 ***
## Residuals 3 95.7 31.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21424.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7338.1 7338.1 229.67 0.0006238 ***
## Residuals 3 95.9 32.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21455.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7358.8 7358.8 229.94 0.0006227 ***
## Residuals 3 96.0 32.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21485.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7379.6 7379.6 230.2 0.0006217 ***
## Residuals 3 96.2 32.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21515.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7400.4 7400.4 230.46 0.0006206 ***
## Residuals 3 96.3 32.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21545.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7421.2 7421.2 230.72 0.0006196 ***
## Residuals 3 96.5 32.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21576.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7442.1 7442.1 230.98 0.0006186 ***
## Residuals 3 96.7 32.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21606.33
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7462.9 7462.9 231.24 0.0006175 ***
## Residuals 3 96.8 32.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21636.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7483.9 7483.9 231.5 0.0006165 ***
## Residuals 3 97.0 32.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21666.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7504.8 7504.8 231.76 0.0006155 ***
## Residuals 3 97.1 32.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21697.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7525.8 7525.8 232.02 0.0006145 ***
## Residuals 3 97.3 32.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21727.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7546.8 7546.8 232.28 0.0006134 ***
## Residuals 3 97.5 32.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21757.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7567.8 7567.8 232.53 0.0006124 ***
## Residuals 3 97.6 32.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21787.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7588.8 7588.8 232.79 0.0006114 ***
## Residuals 3 97.8 32.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21818.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7609.9 7609.9 233.05 0.0006104 ***
## Residuals 3 98.0 32.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21848.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7631.0 7631.0 233.31 0.0006094 ***
## Residuals 3 98.1 32.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21878.55
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7652.2 7652.2 233.56 0.0006084 ***
## Residuals 3 98.3 32.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21908.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7673.4 7673.4 233.82 0.0006074 ***
## Residuals 3 98.5 32.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21939.05
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7694.6 7694.6 234.08 0.0006064 ***
## Residuals 3 98.6 32.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21969.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7715.8 7715.8 234.33 0.0006055 ***
## Residuals 3 98.8 32.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 21999.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7737.0 7737 234.59 0.0006045 ***
## Residuals 3 98.9 33
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22029.79
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7758.3 7758.3 234.85 0.0006035 ***
## Residuals 3 99.1 33.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22060.03
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7779.7 7779.7 235.1 0.0006025 ***
## Residuals 3 99.3 33.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22090.28
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7801.0 7801.0 235.36 0.0006016 ***
## Residuals 3 99.4 33.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22120.53
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7822.4 7822.4 235.61 0.0006006 ***
## Residuals 3 99.6 33.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22150.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7843.8 7843.8 235.87 0.0005996 ***
## Residuals 3 99.8 33.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22181.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7865.2 7865.2 236.12 0.0005987 ***
## Residuals 3 99.9 33.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22211.27
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7886.7 7886.7 236.37 0.0005977 ***
## Residuals 3 100.1 33.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22241.52
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7908.2 7908.2 236.63 0.0005968 ***
## Residuals 3 100.3 33.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22271.76
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7929.7 7929.7 236.88 0.0005958 ***
## Residuals 3 100.4 33.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22302.01
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7951.3 7951.3 237.13 0.0005949 ***
## Residuals 3 100.6 33.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22332.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7972.8 7972.8 237.38 0.0005939 ***
## Residuals 3 100.8 33.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22362.5
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 7994.5 7994.5 237.64 0.000593 ***
## Residuals 3 100.9 33.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22392.75
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8016.1 8016.1 237.89 0.0005921 ***
## Residuals 3 101.1 33.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22423
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8037.8 8037.8 238.14 0.0005911 ***
## Residuals 3 101.3 33.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22453.24
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8059.5 8059.5 238.39 0.0005902 ***
## Residuals 3 101.4 33.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22483.49
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8081.2 8081.2 238.64 0.0005893 ***
## Residuals 3 101.6 33.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22513.74
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8102.9 8102.9 238.89 0.0005884 ***
## Residuals 3 101.8 33.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22543.98
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8124.7 8124.7 239.14 0.0005875 ***
## Residuals 3 101.9 34.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22574.23
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8146.6 8146.6 239.39 0.0005866 ***
## Residuals 3 102.1 34.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22604.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8168.4 8168.4 239.64 0.0005857 ***
## Residuals 3 102.3 34.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22634.72
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8190.3 8190.3 239.89 0.0005847 ***
## Residuals 3 102.4 34.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22664.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8212.2 8212.2 240.14 0.0005838 ***
## Residuals 3 102.6 34.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22695.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8234.1 8234.1 240.39 0.0005829 ***
## Residuals 3 102.8 34.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22725.46
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8256.1 8256.1 240.64 0.0005821 ***
## Residuals 3 102.9 34.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22755.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8278.1 8278.1 240.89 0.0005812 ***
## Residuals 3 103.1 34.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22785.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8300.1 8300.1 241.13 0.0005803 ***
## Residuals 3 103.3 34.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22816.2
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8322.1 8322.1 241.38 0.0005794 ***
## Residuals 3 103.4 34.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22846.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8344.2 8344.2 241.63 0.0005785 ***
## Residuals 3 103.6 34.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22876.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8366.3 8366.3 241.88 0.0005776 ***
## Residuals 3 103.8 34.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22906.94
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8388.5 8388.5 242.12 0.0005768 ***
## Residuals 3 103.9 34.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22937.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8410.6 8410.6 242.37 0.0005759 ***
## Residuals 3 104.1 34.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22967.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8432.8 8432.8 242.61 0.000575 ***
## Residuals 3 104.3 34.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 22997.68
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8455.0 8455.0 242.86 0.0005742 ***
## Residuals 3 104.4 34.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23027.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8477.3 8477.3 243.11 0.0005733 ***
## Residuals 3 104.6 34.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23058.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8499.6 8499.6 243.35 0.0005724 ***
## Residuals 3 104.8 34.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23088.42
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8521.9 8521.9 243.6 0.0005716 ***
## Residuals 3 105.0 35.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23118.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8544.2 8544.2 243.84 0.0005707 ***
## Residuals 3 105.1 35.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23148.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8566.6 8566.6 244.08 0.0005699 ***
## Residuals 3 105.3 35.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23179.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8589.0 8589.0 244.33 0.000569 ***
## Residuals 3 105.5 35.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23209.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8611.4 8611.4 244.57 0.0005682 ***
## Residuals 3 105.6 35.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23239.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8633.9 8633.9 244.82 0.0005674 ***
## Residuals 3 105.8 35.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23269.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8656.4 8656.4 245.06 0.0005665 ***
## Residuals 3 106.0 35.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23300.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8678.9 8678.9 245.3 0.0005657 ***
## Residuals 3 106.1 35.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23330.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8701.5 8701.5 245.54 0.0005649 ***
## Residuals 3 106.3 35.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23360.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8724.0 8724.0 245.79 0.000564 ***
## Residuals 3 106.5 35.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23390.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8746.6 8746.6 246.03 0.0005632 ***
## Residuals 3 106.7 35.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23421.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8769.3 8769.3 246.27 0.0005624 ***
## Residuals 3 106.8 35.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23451.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8791.9 8791.9 246.51 0.0005616 ***
## Residuals 3 107.0 35.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23481.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8814.6 8814.6 246.75 0.0005608 ***
## Residuals 3 107.2 35.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23511.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8837.4 8837.4 246.99 0.00056 ***
## Residuals 3 107.3 35.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23542.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8860.1 8860.1 247.23 0.0005591 ***
## Residuals 3 107.5 35.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23572.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8882.9 8882.9 247.47 0.0005583 ***
## Residuals 3 107.7 35.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23602.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8905.7 8905.7 247.71 0.0005575 ***
## Residuals 3 107.9 36.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23632.86
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8928.5 8928.5 247.95 0.0005567 ***
## Residuals 3 108.0 36.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23663.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8951.4 8951.4 248.19 0.0005559 ***
## Residuals 3 108.2 36.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23693.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8974.3 8974.3 248.43 0.0005552 ***
## Residuals 3 108.4 36.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23723.6
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 8997.2 8997.2 248.67 0.0005544 ***
## Residuals 3 108.5 36.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23753.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9020.2 9020.2 248.91 0.0005536 ***
## Residuals 3 108.7 36.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23784.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9043.2 9043.2 249.14 0.0005528 ***
## Residuals 3 108.9 36.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23814.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9066.2 9066.2 249.38 0.000552 ***
## Residuals 3 109.1 36.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23844.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9089.2 9089.2 249.62 0.0005512 ***
## Residuals 3 109.2 36.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23874.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9112.3 9112.3 249.86 0.0005504 ***
## Residuals 3 109.4 36.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23905.08
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9135.4 9135.4 250.09 0.0005497 ***
## Residuals 3 109.6 36.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23935.33
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9158.6 9158.6 250.33 0.0005489 ***
## Residuals 3 109.8 36.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23965.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9181.7 9181.7 250.56 0.0005481 ***
## Residuals 3 109.9 36.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 23995.82
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9204.9 9204.9 250.8 0.0005474 ***
## Residuals 3 110.1 36.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24026.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9228.1 9228.1 251.04 0.0005466 ***
## Residuals 3 110.3 36.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24056.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9251.4 9251.4 251.27 0.0005458 ***
## Residuals 3 110.5 36.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24086.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9274.7 9274.7 251.51 0.0005451 ***
## Residuals 3 110.6 36.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24116.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9298.0 9298.0 251.74 0.0005443 ***
## Residuals 3 110.8 36.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24147.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9321.3 9321.3 251.98 0.0005436 ***
## Residuals 3 111.0 37.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24177.3
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9344.7 9344.7 252.21 0.0005428 ***
## Residuals 3 111.2 37.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24207.55
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9368.1 9368.1 252.44 0.0005421 ***
## Residuals 3 111.3 37.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24237.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9391.5 9391.5 252.68 0.0005413 ***
## Residuals 3 111.5 37.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24268.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9414.9 9414.9 252.91 0.0005406 ***
## Residuals 3 111.7 37.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24298.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9438.4 9438.4 253.14 0.0005399 ***
## Residuals 3 111.9 37.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24328.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9461.9 9461.9 253.38 0.0005391 ***
## Residuals 3 112.0 37.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24358.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9485.5 9485.5 253.61 0.0005384 ***
## Residuals 3 112.2 37.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24389.03
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9509.0 9509.0 253.84 0.0005377 ***
## Residuals 3 112.4 37.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24419.28
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9532.6 9532.6 254.07 0.0005369 ***
## Residuals 3 112.6 37.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24449.53
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9556.3 9556.3 254.31 0.0005362 ***
## Residuals 3 112.7 37.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24479.77
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9579.9 9579.9 254.54 0.0005355 ***
## Residuals 3 112.9 37.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24510.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9603.6 9603.6 254.77 0.0005348 ***
## Residuals 3 113.1 37.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24540.27
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9627.3 9627.3 255 0.000534 ***
## Residuals 3 113.3 37.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24570.51
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9651.1 9651.1 255.23 0.0005333 ***
## Residuals 3 113.4 37.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24600.76
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9674.9 9674.9 255.46 0.0005326 ***
## Residuals 3 113.6 37.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24631.01
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9698.7 9698.7 255.69 0.0005319 ***
## Residuals 3 113.8 37.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24661.25
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9722.5 9722.5 255.92 0.0005312 ***
## Residuals 3 114.0 38.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24691.5
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9746.4 9746.4 256.15 0.0005305 ***
## Residuals 3 114.1 38.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24721.75
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9770.3 9770.3 256.38 0.0005298 ***
## Residuals 3 114.3 38.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24751.99
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9794.2 9794.2 256.61 0.0005291 ***
## Residuals 3 114.5 38.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24782.24
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9818.1 9818.1 256.83 0.0005284 ***
## Residuals 3 114.7 38.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24812.49
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9842.1 9842.1 257.06 0.0005277 ***
## Residuals 3 114.9 38.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24842.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9866.1 9866.1 257.29 0.000527 ***
## Residuals 3 115.0 38.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24872.98
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9890.2 9890.2 257.52 0.0005263 ***
## Residuals 3 115.2 38.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24903.23
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9914.2 9914.2 257.75 0.0005256 ***
## Residuals 3 115.4 38.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24933.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9938.3 9938.3 257.97 0.0005249 ***
## Residuals 3 115.6 38.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24963.72
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9962.5 9962.5 258.2 0.0005242 ***
## Residuals 3 115.8 38.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 24993.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 9986.6 9986.6 258.43 0.0005235 ***
## Residuals 3 115.9 38.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25024.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10010.8 10010.8 258.65 0.0005229 ***
## Residuals 3 116.1 38.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25054.46
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10035.0 10035.0 258.88 0.0005222 ***
## Residuals 3 116.3 38.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25084.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10059.3 10059.3 259.1 0.0005215 ***
## Residuals 3 116.5 38.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25114.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10083.5 10083.5 259.33 0.0005208 ***
## Residuals 3 116.6 38.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25145.2
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10107.8 10107.8 259.56 0.0005202 ***
## Residuals 3 116.8 38.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25175.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10132 10132 259.78 0.0005195 ***
## Residuals 3 117 39
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25205.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10156.5 10156.5 260.01 0.0005188 ***
## Residuals 3 117.2 39.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25235.94
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10180.9 10180.9 260.23 0.0005182 ***
## Residuals 3 117.4 39.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25266.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10205.3 10205.3 260.45 0.0005175 ***
## Residuals 3 117.5 39.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25296.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10229.8 10229.8 260.68 0.0005168 ***
## Residuals 3 117.7 39.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25326.68
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10254.3 10254.3 260.9 0.0005162 ***
## Residuals 3 117.9 39.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25356.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10278.8 10278.8 261.12 0.0005155 ***
## Residuals 3 118.1 39.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25387.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10303.3 10303.3 261.35 0.0005149 ***
## Residuals 3 118.3 39.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25417.42
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10327.9 10327.9 261.57 0.0005142 ***
## Residuals 3 118.5 39.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25447.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10352.5 10352.5 261.79 0.0005136 ***
## Residuals 3 118.6 39.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25477.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10377.1 10377.1 262.02 0.0005129 ***
## Residuals 3 118.8 39.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25508.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10402 10401.7 262.24 0.0005123 ***
## Residuals 3 119 39.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25538.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10426.4 10426.4 262.46 0.0005116 ***
## Residuals 3 119.2 39.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25568.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10451.1 10451.1 262.68 0.000511 ***
## Residuals 3 119.4 39.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25598.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10475.9 10475.9 262.9 0.0005103 ***
## Residuals 3 119.5 39.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25629.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10500.7 10500.7 263.12 0.0005097 ***
## Residuals 3 119.7 39.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25659.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10525.5 10526 263.34 0.0005091 ***
## Residuals 3 119.9 40
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25689.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10550.3 10550 263.56 0.0005084 ***
## Residuals 3 120.1 40
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25719.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10575.1 10575.1 263.78 0.0005078 ***
## Residuals 3 120.3 40.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25750.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10600.0 10600.0 264 0.0005072 ***
## Residuals 3 120.5 40.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25780.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10624.9 10624.9 264.22 0.0005066 ***
## Residuals 3 120.6 40.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25810.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10649.9 10649.9 264.44 0.0005059 ***
## Residuals 3 120.8 40.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25840.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10675 10674.9 264.66 0.0005053 ***
## Residuals 3 121 40.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25871.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10699.9 10699.9 264.88 0.0005047 ***
## Residuals 3 121.2 40.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25901.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10724.9 10724.9 265.1 0.0005041 ***
## Residuals 3 121.4 40.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25931.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10750.0 10750.0 265.32 0.0005035 ***
## Residuals 3 121.6 40.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25961.86
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10775.1 10775.1 265.53 0.0005028 ***
## Residuals 3 121.7 40.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 25992.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10800.2 10800.2 265.75 0.0005022 ***
## Residuals 3 121.9 40.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26022.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10825.3 10825.3 265.97 0.0005016 ***
## Residuals 3 122.1 40.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26052.6
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10850.5 10850.5 266.19 0.000501 ***
## Residuals 3 122.3 40.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26082.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10875.7 10875.7 266.4 0.0005004 ***
## Residuals 3 122.5 40.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26113.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10901.0 10901.0 266.62 0.0004998 ***
## Residuals 3 122.7 40.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26143.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10926.2 10926.2 266.84 0.0004992 ***
## Residuals 3 122.8 40.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26173.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10952 10952 267.05 0.0004986 ***
## Residuals 3 123 41
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26203.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 10976.8 10976.8 267.27 0.000498 ***
## Residuals 3 123.2 41.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26234.08
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11002.2 11002.2 267.48 0.0004974 ***
## Residuals 3 123.4 41.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26264.33
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11027.6 11027.6 267.7 0.0004968 ***
## Residuals 3 123.6 41.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26294.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11053.0 11053.0 267.92 0.0004962 ***
## Residuals 3 123.8 41.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26324.82
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11078 11078.4 268.13 0.0004956 ***
## Residuals 3 124 41.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26355.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11103.9 11103.9 268.34 0.000495 ***
## Residuals 3 124.1 41.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26385.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11129.4 11129.4 268.56 0.0004944 ***
## Residuals 3 124.3 41.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26415.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11155.0 11155.0 268.77 0.0004939 ***
## Residuals 3 124.5 41.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26445.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11180.5 11180.5 268.99 0.0004933 ***
## Residuals 3 124.7 41.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26476.05
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11206.1 11206.1 269.2 0.0004927 ***
## Residuals 3 124.9 41.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26506.3
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11231.7 11231.7 269.41 0.0004921 ***
## Residuals 3 125.1 41.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26536.55
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11257.4 11257.4 269.63 0.0004915 ***
## Residuals 3 125.3 41.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26566.79
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11283.0 11283.0 269.84 0.000491 ***
## Residuals 3 125.4 41.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26597.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11308.8 11308.8 270.05 0.0004904 ***
## Residuals 3 125.6 41.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26627.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11334.5 11334.5 270.26 0.0004898 ***
## Residuals 3 125.8 41.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26657.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11360 11360 270.48 0.0004892 ***
## Residuals 3 126 42
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26687.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11386.0 11386.0 270.69 0.0004887 ***
## Residuals 3 126.2 42.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26718.03
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11411.9 11411.9 270.9 0.0004881 ***
## Residuals 3 126.4 42.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26748.28
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11437.7 11437.7 271.11 0.0004875 ***
## Residuals 3 126.6 42.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26778.52
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11463.6 11463.6 271.32 0.000487 ***
## Residuals 3 126.8 42.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26808.77
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11489.5 11489.5 271.53 0.0004864 ***
## Residuals 3 126.9 42.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26839.02
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11515.5 11515.5 271.74 0.0004859 ***
## Residuals 3 127.1 42.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26869.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11541.4 11541.4 271.95 0.0004853 ***
## Residuals 3 127.3 42.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26899.51
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11567.4 11567.4 272.16 0.0004847 ***
## Residuals 3 127.5 42.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26929.76
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11593.5 11593.5 272.37 0.0004842 ***
## Residuals 3 127.7 42.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26960
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11619.5 11619.5 272.58 0.0004836 ***
## Residuals 3 127.9 42.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 26990.25
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11645.6 11645.6 272.79 0.0004831 ***
## Residuals 3 128.1 42.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27020.5
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11671.7 11671.7 273 0.0004825 ***
## Residuals 3 128.3 42.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27050.74
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11697.9 11697.9 273.21 0.000482 ***
## Residuals 3 128.4 42.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27080.99
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11724.0 11724.0 273.42 0.0004814 ***
## Residuals 3 128.6 42.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27111.24
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11750.2 11750.2 273.63 0.0004809 ***
## Residuals 3 128.8 42.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27141.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11776 11776 273.83 0.0004803 ***
## Residuals 3 129 43
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27171.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11802.7 11802.7 274.04 0.0004798 ***
## Residuals 3 129.2 43.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27201.98
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11829.0 11829.0 274.25 0.0004793 ***
## Residuals 3 129.4 43.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27232.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11855.3 11855.3 274.46 0.0004787 ***
## Residuals 3 129.6 43.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27262.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11881.7 11881.7 274.66 0.0004782 ***
## Residuals 3 129.8 43.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27292.72
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11908 11908.1 274.87 0.0004777 ***
## Residuals 3 130 43.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27322.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11934.5 11934.5 275.08 0.0004771 ***
## Residuals 3 130.2 43.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27353.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11960.9 11960.9 275.28 0.0004766 ***
## Residuals 3 130.3 43.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27383.46
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 11987.4 11987.4 275.49 0.0004761 ***
## Residuals 3 130.5 43.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27413.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12013.9 12013.9 275.7 0.0004755 ***
## Residuals 3 130.7 43.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27443.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12040.4 12040.4 275.9 0.000475 ***
## Residuals 3 130.9 43.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27474.2
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12067.0 12067.0 276.11 0.0004745 ***
## Residuals 3 131.1 43.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27504.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12093.5 12093.5 276.31 0.000474 ***
## Residuals 3 131.3 43.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27534.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12120.2 12120.2 276.52 0.0004734 ***
## Residuals 3 131.5 43.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27564.94
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12146.8 12146.8 276.72 0.0004729 ***
## Residuals 3 131.7 43.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27595.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12173.5 12174 276.93 0.0004724 ***
## Residuals 3 131.9 44
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27625.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12200.2 12200 277.13 0.0004719 ***
## Residuals 3 132.1 44
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27655.68
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12226.9 12226.9 277.33 0.0004714 ***
## Residuals 3 132.3 44.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27685.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12253.7 12253.7 277.54 0.0004709 ***
## Residuals 3 132.5 44.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27716.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12280.5 12280.5 277.74 0.0004703 ***
## Residuals 3 132.6 44.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27746.42
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12307.3 12307.3 277.94 0.0004698 ***
## Residuals 3 132.8 44.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27776.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12334 12334.1 278.15 0.0004693 ***
## Residuals 3 133 44.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27806.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12361.0 12361.0 278.35 0.0004688 ***
## Residuals 3 133.2 44.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27837.16
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12387.9 12387.9 278.55 0.0004683 ***
## Residuals 3 133.4 44.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27867.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12414.8 12414.8 278.75 0.0004678 ***
## Residuals 3 133.6 44.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27897.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12441.8 12441.8 278.96 0.0004673 ***
## Residuals 3 133.8 44.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27927.9
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12469 12468.8 279.16 0.0004668 ***
## Residuals 3 134 44.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27958.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12495.8 12495.8 279.36 0.0004663 ***
## Residuals 3 134.2 44.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 27988.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12522.9 12522.9 279.56 0.0004658 ***
## Residuals 3 134.4 44.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28018.64
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12549.9 12549.9 279.76 0.0004653 ***
## Residuals 3 134.6 44.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28048.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12577.1 12577.1 279.96 0.0004648 ***
## Residuals 3 134.8 44.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28079.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12604 12604 280.16 0.0004643 ***
## Residuals 3 135 45
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28109.38
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12631.4 12631.4 280.36 0.0004638 ***
## Residuals 3 135.2 45.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28139.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12658.6 12658.6 280.56 0.0004633 ***
## Residuals 3 135.4 45.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28169.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12685.8 12685.8 280.76 0.0004628 ***
## Residuals 3 135.6 45.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28200.12
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12713.1 12713.1 280.96 0.0004623 ***
## Residuals 3 135.7 45.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28230.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12740.3 12740.3 281.16 0.0004619 ***
## Residuals 3 135.9 45.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28260.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12767.7 12767.7 281.36 0.0004614 ***
## Residuals 3 136.1 45.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28290.86
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12795.0 12795.0 281.56 0.0004609 ***
## Residuals 3 136.3 45.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28321.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12822.4 12822.4 281.76 0.0004604 ***
## Residuals 3 136.5 45.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28351.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12849.8 12849.8 281.96 0.0004599 ***
## Residuals 3 136.7 45.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28381.6
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12877.2 12877.2 282.15 0.0004594 ***
## Residuals 3 136.9 45.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28411.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12904.7 12904.7 282.35 0.000459 ***
## Residuals 3 137.1 45.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28442.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12932.2 12932.2 282.55 0.0004585 ***
## Residuals 3 137.3 45.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28472.34
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12959.7 12959.7 282.75 0.000458 ***
## Residuals 3 137.5 45.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28502.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 12987.2 12987.2 282.94 0.0004575 ***
## Residuals 3 137.7 45.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28532.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13014.8 13015 283.14 0.0004571 ***
## Residuals 3 137.9 46
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28563.08
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13042.4 13042 283.34 0.0004566 ***
## Residuals 3 138.1 46
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28593.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13070.1 13070.1 283.53 0.0004561 ***
## Residuals 3 138.3 46.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28623.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13097.7 13097.7 283.73 0.0004556 ***
## Residuals 3 138.5 46.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28653.82
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13125.4 13125.4 283.93 0.0004552 ***
## Residuals 3 138.7 46.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28684.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13153.1 13153.1 284.12 0.0004547 ***
## Residuals 3 138.9 46.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28714.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13180.9 13180.9 284.32 0.0004542 ***
## Residuals 3 139.1 46.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28744.56
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13208.7 13208.7 284.51 0.0004538 ***
## Residuals 3 139.3 46.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28774.8
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13236.5 13236.5 284.71 0.0004533 ***
## Residuals 3 139.5 46.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28805.05
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13264.3 13264.3 284.9 0.0004529 ***
## Residuals 3 139.7 46.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28835.3
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13292.2 13292.2 285.1 0.0004524 ***
## Residuals 3 139.9 46.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28865.54
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13320.1 13320.1 285.29 0.0004519 ***
## Residuals 3 140.1 46.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28895.79
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13348.0 13348.0 285.49 0.0004515 ***
## Residuals 3 140.3 46.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28926.04
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13376.0 13376.0 285.68 0.000451 ***
## Residuals 3 140.5 46.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28956.29
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13404.0 13404.0 285.88 0.0004506 ***
## Residuals 3 140.7 46.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 28986.53
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13432.0 13432 286.07 0.0004501 ***
## Residuals 3 140.9 47
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29016.78
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13460.0 13460 286.26 0.0004497 ***
## Residuals 3 141.1 47
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29047.03
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13488.1 13488.1 286.45 0.0004492 ***
## Residuals 3 141.3 47.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29077.27
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13516.2 13516.2 286.65 0.0004488 ***
## Residuals 3 141.5 47.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29107.52
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13544.4 13544.4 286.84 0.0004483 ***
## Residuals 3 141.7 47.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29137.77
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13572.5 13572.5 287.03 0.0004479 ***
## Residuals 3 141.9 47.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29168.01
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13600.7 13600.7 287.23 0.0004474 ***
## Residuals 3 142.1 47.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29198.26
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13628.9 13628.9 287.42 0.000447 ***
## Residuals 3 142.3 47.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29228.51
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13657.2 13657.2 287.61 0.0004465 ***
## Residuals 3 142.5 47.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29258.75
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13685.5 13685.5 287.8 0.0004461 ***
## Residuals 3 142.7 47.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29289
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13713.8 13713.8 287.99 0.0004457 ***
## Residuals 3 142.9 47.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29319.25
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13742.1 13742.1 288.18 0.0004452 ***
## Residuals 3 143.1 47.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29349.49
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13770.5 13770.5 288.37 0.0004448 ***
## Residuals 3 143.3 47.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29379.74
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13798.9 13798.9 288.56 0.0004443 ***
## Residuals 3 143.5 47.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29409.99
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13827.3 13827.3 288.75 0.0004439 ***
## Residuals 3 143.7 47.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29440.23
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13855.8 13856 288.94 0.0004435 ***
## Residuals 3 143.9 48
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29470.48
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13884.2 13884 289.13 0.000443 ***
## Residuals 3 144.1 48
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29500.73
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13912.8 13912.8 289.32 0.0004426 ***
## Residuals 3 144.3 48.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29530.97
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13941.3 13941.3 289.51 0.0004422 ***
## Residuals 3 144.5 48.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29561.22
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13969.9 13969.9 289.7 0.0004417 ***
## Residuals 3 144.7 48.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29591.47
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 13998.5 13998.5 289.89 0.0004413 ***
## Residuals 3 144.9 48.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29621.71
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14027.1 14027.1 290.08 0.0004409 ***
## Residuals 3 145.1 48.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29651.96
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14055.8 14055.8 290.27 0.0004405 ***
## Residuals 3 145.3 48.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29682.21
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14084.5 14084.5 290.46 0.00044 ***
## Residuals 3 145.5 48.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29712.45
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14113.2 14113.2 290.65 0.0004396 ***
## Residuals 3 145.7 48.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29742.7
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14141.9 14141.9 290.83 0.0004392 ***
## Residuals 3 145.9 48.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29772.95
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14170.7 14170.7 291.02 0.0004388 ***
## Residuals 3 146.1 48.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29803.19
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14199.5 14199.5 291.21 0.0004383 ***
## Residuals 3 146.3 48.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29833.44
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14228.4 14228.4 291.4 0.0004379 ***
## Residuals 3 146.5 48.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29863.69
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14257.2 14257.2 291.58 0.0004375 ***
## Residuals 3 146.7 48.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29893.93
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14286.1 14286 291.77 0.0004371 ***
## Residuals 3 146.9 49
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29924.18
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14315.0 14315 291.96 0.0004367 ***
## Residuals 3 147.1 49
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29954.43
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14344.0 14344.0 292.14 0.0004363 ***
## Residuals 3 147.3 49.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 29984.67
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14373.0 14373.0 292.33 0.0004358 ***
## Residuals 3 147.5 49.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30014.92
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14402.0 14402.0 292.52 0.0004354 ***
## Residuals 3 147.7 49.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30045.17
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14431.0 14431.0 292.7 0.000435 ***
## Residuals 3 147.9 49.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30075.41
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14460.1 14460.1 292.89 0.0004346 ***
## Residuals 3 148.1 49.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30105.66
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14489.2 14489.2 293.07 0.0004342 ***
## Residuals 3 148.3 49.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30135.91
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14518.3 14518.3 293.26 0.0004338 ***
## Residuals 3 148.5 49.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30166.15
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14547.5 14547.5 293.44 0.0004334 ***
## Residuals 3 148.7 49.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30196.4
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14576.7 14576.7 293.63 0.000433 ***
## Residuals 3 148.9 49.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30226.65
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14605.9 14605.9 293.81 0.0004326 ***
## Residuals 3 149.1 49.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30256.89
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14635.1 14635.1 294 0.0004322 ***
## Residuals 3 149.3 49.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30287.14
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14664.4 14664.4 294.18 0.0004318 ***
## Residuals 3 149.5 49.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30317.39
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14693.7 14693.7 294.37 0.0004314 ***
## Residuals 3 149.7 49.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30347.63
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14723 14723 294.55 0.000431 ***
## Residuals 3 150 50
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30377.88
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14752.4 14752.4 294.73 0.0004306 ***
## Residuals 3 150.2 50.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30408.13
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14781.8 14781.8 294.92 0.0004302 ***
## Residuals 3 150.4 50.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30438.37
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14811.2 14811.2 295.1 0.0004298 ***
## Residuals 3 150.6 50.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30468.62
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14840.7 14840.7 295.28 0.0004294 ***
## Residuals 3 150.8 50.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30498.87
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14870 14870.2 295.46 0.000429 ***
## Residuals 3 151 50.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30529.11
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14899.7 14899.7 295.65 0.0004286 ***
## Residuals 3 151.2 50.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30559.36
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14929.2 14929.2 295.83 0.0004282 ***
## Residuals 3 151.4 50.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30589.61
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14958.8 14958.8 296.01 0.0004278 ***
## Residuals 3 151.6 50.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30619.85
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 14988.4 14988.4 296.19 0.0004274 ***
## Residuals 3 151.8 50.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30650.1
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15018 15018.0 296.37 0.000427 ***
## Residuals 3 152 50.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30680.35
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15047.6 15047.6 296.56 0.0004266 ***
## Residuals 3 152.2 50.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30710.59
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15077.3 15077.3 296.74 0.0004263 ***
## Residuals 3 152.4 50.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30740.84
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15107.0 15107.0 296.92 0.0004259 ***
## Residuals 3 152.6 50.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30771.09
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15136.8 15136.8 297.1 0.0004255 ***
## Residuals 3 152.8 50.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30801.33
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15166.6 15167 297.28 0.0004251 ***
## Residuals 3 153.1 51
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30831.58
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15196.4 15196.4 297.46 0.0004247 ***
## Residuals 3 153.3 51.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30861.83
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15226.2 15226.2 297.64 0.0004243 ***
## Residuals 3 153.5 51.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30892.07
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15256.1 15256.1 297.82 0.000424 ***
## Residuals 3 153.7 51.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30922.32
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15285.9 15285.9 298 0.0004236 ***
## Residuals 3 153.9 51.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30952.57
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15315.9 15315.9 298.18 0.0004232 ***
## Residuals 3 154.1 51.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 30982.81
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15345.8 15345.8 298.36 0.0004228 ***
## Residuals 3 154.3 51.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 31013.06
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15375.8 15375.8 298.54 0.0004224 ***
## Residuals 3 154.5 51.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Tukey's test of nonadditivity
## y
##
## P : 31043.31
## Q : 62553.56
##
## Analysis of Variance Table
##
## Response: residual
## Df Sum Sq Mean Sq F value Pr(>F)
## Nonadditivity 1 15405.8 15405.8 298.72 0.0004221 ***
## Residuals 3 154.7 51.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1mean(pvalor<0.05)## [1] 0.9325337# plot de diferentes tipos de valores de lambda vs o pvalor da função avaliada
#
plot(lambda,pvalor,type='l')
abline(h=0.05, col = 'red')
Estes resultaria em valores que para diferentes tipos de lambda, no qual os valores acima da linha vermelha para lambda estariamos rejeitando a aditividade quando na verdade existe.