Exp 2 - Proteinas em Sucedaneos
Dias vivos e com diarreia
## ani trat bloc dat_nac peso dv dd d_obs ddp
## 1 1 A 1 2015-09-25 NA NA NA NA NA
## 2 2 B 2 2015-09-25 35.9 56 37 41 90
## 3 3 C 1 2015-09-27 46.8 56 23 43 53
## 4 4 C 3 2015-09-29 41.0 17 4 6 67
## 5 5 B 3 2015-10-01 40.8 56 40 47 85
## 6 6 A 1 2015-10-03 43.8 56 35 49 71
## 7 7 A 3 2015-10-06 40.2 56 24 52 46
## 8 8 B 1 2015-10-06 43.0 56 39 52 75
## 9 9 C 2 2015-10-07 35.9 56 48 54 89
## 10 10 A 2 2015-10-08 29.4 56 41 55 75
## 11 11 B 6 2015-10-09 44.9 56 39 42 93
## 12 12 A 4 2015-10-15 30.8 56 42 48 88
## 13 13 B 4 2015-10-15 34.0 17 9 9 100
## 14 14 B 5 2015-10-15 39.3 56 48 48 100
## 15 15 C 6 2015-10-17 42.0 56 50 50 100
## 16 16 C 5 2015-10-18 37.4 8 3 3 100
## 17 17 A 5 2015-10-19 40.7 56 29 52 56
## 18 18 C 4 2015-10-20 33.2 56 45 53 85
## 19 19 A 6 2015-10-23 44.4 56 37 48 77
## 20 20 A 7 2015-10-24 40.6 56 34 49 69
## 21 21 A 8 2015-10-25 42.3 56 40 50 80
## 22 22 B 8 2015-10-26 43.0 56 45 51 88
## 23 23 B 7 2015-10-27 39.2 56 52 52 100
## 24 24 C 7 2015-10-28 38.5 27 24 24 100
## 25 25 C 8 2015-10-28 41.0 37 34 34 100
## 26 26 A 8 2015-10-30 44.3 56 29 49 59
## 27 27 C 9 2015-11-01 35.3 20 15 15 100
## 28 28 B 5 2015-11-01 38.2 56 48 51 94
## 29 29 C 8 2015-11-01 41.2 16 11 11 100
## 30 30 A 5 2015-11-02 38.4 56 53 52 102
## 31 31 A 9 2015-11-03 32.8 56 45 53 85
## 32 32 C 5 2015-11-03 37.7 30 28 27 104
## 33 33 B 9 2015-11-03 37.5 56 54 53 102
## 34 34 C 5 2015-11-04 38.0 30 29 28 104Bloqueio
Blocos originais
## bloc
## trat 1 2 3 4 5 6 7 8 9
## A 2 1 1 1 2 1 1 2 1
## B 1 1 1 1 2 1 1 1 1
## C 1 1 1 1 3 1 1 2 1Conferindo presença de outliers
Suggestão de eliminar bezerros 13 e 3 » os blocos originais não ficam completos (trat B e C ausente no bloco 4 e 1)
## bloc
## trat 1 2 3 4 5 6 7 8 9
## A 1 1 1 1 2 1 1 2 1
## B 1 1 1 0 2 1 1 1 1
## C 0 1 1 1 3 1 1 2 1Re-estruturação dos blocos para ficar balanceados
## bk
## trat 1 2 3 4 5 6
## A 2 2 1 1 2 3
## B 1 2 2 1 2 1
## C 2 1 2 2 2 2ANOVA Dias com diarreia (%): DBC 
## $`Analysis of variance`
## df type III SS mean square F value p>F
## treatments 2 2824.562 1412.2809 11.7698 <0.001
## blocks 5 1572.340 314.4680 2.6207 0.0513
## Residuals 23 2759.822 119.9922 - -
##
## $`Adjusted means`
## treatment adjusted.mean standard.error tukey snk duncan t scott_knott
## 1 C 94.4259 3.3282 a a a a a
## 2 B 93.1099 3.7131 a a a a a
## 3 A 73.4647 3.3885 b b b b b
##
## $`Multiple comparison test`
## pair contrast p(tukey) p(snk) p(duncan) p(t)
## 1 C - B 1.3160 0.9624 0.7942 0.7942 0.7942
## 2 C - A 20.9612 0.0006 0.0006 0.0003 0.0002
## 3 B - A 19.6452 0.0020 0.0007 0.0007 0.0007
##
## $`Residual analysis`
## values
## p.value Shapiro-Wilk test 0.9288
## p.value Bartlett test 0.2010
## coefficient of variation (%) 12.6500
## first value most discrepant 27.0000
## second value most discrepant 2.0000
## third value most discrepant 11.0000Teste de eficiência do bloqueio para Dias com diarreia (%)
Eficiencia relativa (RE) = ( ((df_a + 1)(df_b + 3)) / ((df_b + 1)(df_a + 3)) ) * (MSE_b/MSE_a) * 100
## Analysis of Variance Table
##
## Response: ddp
## Df Sum Sq Mean Sq F value Pr(>F)
## trat 2 2997.4 1498.69 9.6865 0.000635 ***
## Residuals 28 4332.2 154.72
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Analysis of Variance Table
##
## Response: ddp
## Df Sum Sq Mean Sq F value Pr(>F)
## trat 2 2997.4 1498.69 12.4899 0.0002127 ***
## factor(bk) 5 1572.3 314.47 2.6207 0.0512687 .
## Residuals 23 2759.8 119.99
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Se RE > 100 » o DIC é melhor , RE < 100 » DBC é melhor
## [1] 79O DBC foi 21% mais eficiente ANOVA DBC: Dias com vida 
## $`Analysis of variance`
## df type III SS mean square F value p>F
## treatments 2 3692.8815 1846.4408 15.3216 <0.001
## blocks 5 215.1239 43.0248 0.357 0.8724
## Residuals 23 2771.7852 120.5124 - -
##
## $`Adjusted means`
## treatment adjusted.mean standard.error tukey snk duncan t scott_knott
## 1 A 56.0118 3.3958 a a a a a
## 2 B 55.3748 3.7211 a a a a a
## 3 C 32.5398 3.3355 b b b b b
##
## $`Multiple comparison test`
## pair contrast p(tukey) p(snk) p(duncan) p(t)
## 1 A - B 0.637 0.9912 0.9005 0.9005 0.9005
## 2 A - C 23.472 0.0002 0.0002 0.0001 0.0001
## 3 B - C 22.835 0.0004 0.0001 0.0001 0.0001
##
## $`Residual analysis`
## values
## p.value Shapiro-Wilk test 0.003
## p.value Bartlett test 0.000
## coefficient of variation (%) 23.100
## first value most discrepant 13.000
## second value most discrepant 15.000
## third value most discrepant 12.000Sugere tirar a fila 13 (dado discrepante) 
## $`Analysis of variance`
## df type III SS mean square F value p>F
## treatments 2 2650.0981 1325.0491 14.7872 <0.001
## blocks 5 377.1315 75.4263 0.8417 0.5346
## Residuals 22 1971.3685 89.6077 - -
##
## $`Adjusted means`
## treatment adjusted.mean standard.error tukey snk duncan t scott_knott
## 1 A 55.8464 2.9287 a a a a a
## 2 B 55.7013 3.2106 a a a a a
## 3 C 35.4576 3.0373 b b b b b
##
## $`Multiple comparison test`
## pair contrast p(tukey) p(snk) p(duncan) p(t)
## 1 A - B 0.1451 0.9994 0.9737 0.9737 0.9737
## 2 A - C 20.3888 0.0002 0.0002 0.0001 0.0001
## 3 B - C 20.2437 0.0004 0.0001 0.0001 0.0001
##
## $`Residual analysis`
## values
## p.value Shapiro-Wilk test 0.0652
## p.value Bartlett test 0.0000
## coefficient of variation (%) 19.3800
## first value most discrepant 12.0000
## second value most discrepant 2.0000
## third value most discrepant 25.0000Grafico 
Desta primeira etapa pode observar-se que o sucedâneo B suministrado com 6 L de agua apresentou anomalÃas na saúde dos bezeirros, provocando morte prematura, o que impediu avaliar o desempenho dos animaias alimentados pelo tratamento.
Por isto, procede-se daqui para frente com o sucedâneo B suministrado com 8 L de água para sua comparação com o tratamento padrão (sucedâneo comercial de conhecido resultado). # Evolução semanal do peso
## ani trat bloc bk 7 14 21 28 35 42 49 56
## 2 2 B 2 1 NA NA 40.5 45.5 48.6 53.5 57.0 56.0
## 4 4 C 3 3 NA 41.3 NA NA NA NA NA NA
## 5 5 B 3 2 NA 44.7 49.5 52.6 52.3 56.7 62.5 69.6
## 6 6 A 1 3 46.5 48.6 54.0 59.1 64.0 66.0 70.3 77.9
## 7 7 A 3 2 45.0 44.7 50.2 56.0 59.9 59.3 62.5 67.7
## 8 8 B 1 3 47.1 47.3 52.0 55.0 58.9 63.7 65.4 72.7
## 9 9 C 2 2 37.8 37.8 40.6 44.4 49.2 54.7 55.3 53.7
## 10 10 A 2 1 31.6 32.8 35.5 40.0 41.2 43.5 45.7 47.5
## 11 11 B 6 3 NA 47.1 45.1 41.1 45.0 49.4 53.5 52.6
## 12 12 A 4 1 NA 31.5 37.2 39.8 43.3 46.5 46.3 49.2
## 14 14 B 5 2 NA 39.0 38.3 39.7 42.7 42.0 40.8 41.2
## 15 15 C 6 3 43.1 43.1 46.6 46.9 49.5 49.9 48.2 47.9
## 16 16 C 5 1 35.6 NA NA NA NA NA NA NA
## 17 17 A 5 2 44.1 44.6 49.1 55.6 60.2 62.1 61.0 62.5
## 18 18 C 4 1 35.0 35.8 34.7 40.4 44.1 47.2 50.7 54.0
## 19 19 A 6 6 NA 47.0 47.7 52.4 54.5 55.2 57.9 59.8
## 20 20 A 7 5 42.8 42.7 44.4 43.8 47.6 51.1 54.7 55.8
## 21 21 A 8 6 45.7 45.6 50.6 52.1 52.5 50.7 57.4 61.2
## 22 22 B 8 6 46.3 44.2 46.4 50.7 52.0 54.4 59.7 61.6
## 23 23 B 7 5 40.2 37.0 39.6 40.2 43.6 40.7 40.5 43.5
## 24 24 C 7 5 40.9 37.7 39.5 NA NA NA NA NA
## 25 25 C 8 6 43.2 40.8 38.9 38.2 42.6 NA NA NA
## 26 26 A 8 6 45.0 42.2 43.7 46.4 47.5 51.9 57.4 63.8
## 27 27 C 9 4 38.0 31.5 NA NA NA NA NA NA
## 28 28 B 5 5 39.3 35.3 35.7 35.6 39.8 40.4 34.4 NA
## 29 29 C 8 6 41.8 36.6 NA NA NA NA NA NA
## 30 30 A 5 5 38.3 36.0 37.7 40.7 38.5 38.2 38.1 NA
## 31 31 A 9 4 33.2 31.0 32.4 32.8 33.5 34.0 38.2 36.3
## 32 32 C 5 4 39.3 36.7 36.0 35.4 NA NA NA NA
## 33 33 B 9 4 39.4 39.0 43.3 47.5 44.0 41.7 48.9 50.3
## 34 34 C 5 5 38.0 33.8 34.8 NA NA NA NA NA## bk
## trat 1 2 3 4 5 6
## A 2 2 1 1 2 3
## B 1 2 2 1 2 1
## C 2 1 2 2 2 2Exploração individual 
Regressão linear » Sucedâneos A (20,5%PB / 8L) e B (25%PB / 8L)
A continuação serão calculados os coeficientes angulares da regressão linear por animal, em representação do ganho diario de peso.
## ani trat bk p_valor AdjR2 b0 b1
## 1 2 B 1 0.002 0.91 31.8 0.477
## 2 5 B 2 0.000 0.92 36.7 0.535
## 3 6 A 3 0.000 0.98 41.0 0.628
## 4 7 A 2 0.000 0.94 40.7 0.475
## 5 8 B 3 0.000 0.97 41.2 0.525
## 6 10 A 1 0.000 0.98 29.0 0.342
## 7 11 B 3 0.067 0.43 40.3 0.212
## 8 12 A 1 0.000 0.93 28.0 0.398
## 9 14 B 2 0.100 0.34 38.0 0.071
## 10 17 A 2 0.000 0.87 41.3 0.433
## 11 19 A 6 0.000 0.96 42.5 0.314
## 12 20 A 5 0.000 0.89 38.5 0.297
## 13 21 A 6 0.001 0.82 43.0 0.286
## 14 22 B 6 0.000 0.91 40.7 0.357
## 15 23 B 5 0.082 0.32 38.1 0.080
## 16 26 A 6 0.002 0.80 37.2 0.397
## 17 28 B 5 0.979 -0.20 37.3 -0.002
## 18 30 A 5 0.578 -0.12 37.6 0.023
## 19 31 A 4 0.016 0.59 30.5 0.107
## 20 33 B 4 0.016 0.59 38.0 0.200Grafico das regressoes
ANOVA » Ganho diario de peso: DBC
## bk
## trat 1 2 3 4 5 6
## A 2 2 1 1 2 3
## B 1 2 2 1 2 1
## C 0 0 0 0 0 0
## $`Analysis of variance`
## df type III SS mean square F value p>F
## treatments 1 0.0208 0.0208 0.963 0.3443
## blocks 5 0.3394 0.0679 3.1452 0.0445
## Residuals 13 0.2806 0.0216 - -
##
## $`Adjusted means`
## treatment adjusted.mean standard.error tukey snk duncan t scott_knott
## 1 A 0.3360 0.0462 a a a a a
## 2 B 0.2686 0.0503 a a a a a
##
## $`Multiple comparison test`
## pair contrast p(tukey) p(snk) p(duncan) p(t)
## 1 A - B 0.0674 0.3417 0.3417 0.3417 0.3417
##
## $`Residual analysis`
## values
## p.value Shapiro-Wilk test 0.6110
## p.value Bartlett test 0.5214
## coefficient of variation (%) 47.7400
## first value most discrepant 9.0000
## second value most discrepant 7.0000
## third value most discrepant 2.0000
# Glicose
## ani trat bloc bk 1 2 3 4 5 6 7 8
## 2 2 B 2 1 NA NA 85.85 124.40 109.10 93.36 59.48 70.67
## 4 4 C 3 3 NA 87.36 NA NA NA NA NA NA
## 5 5 B 3 2 NA 91.86 98.99 68.42 99.77 80.57 90.50 88.35
## 6 6 A 1 3 NA 88.62 NA 95.05 93.64 77.10 89.24 80.33
## 7 7 A 3 2 75.19 106.40 103.10 79.84 84.81 90.24 94.64 73.12
## 8 8 B 1 3 111.40 85.69 70.11 98.93 106.90 73.97 87.11 89.61
## 9 9 C 2 2 67.60 91.44 77.20 85.47 80.49 89.27 51.98 49.50
## 10 10 A 2 1 97.78 105.90 64.92 79.58 65.84 77.67 74.92 59.18
## 11 11 B 6 3 NA NA 68.00 101.60 69.57 72.84 66.73 32.95
## 12 12 A 4 1 NA 123.70 111.10 74.95 68.29 90.32 55.20 71.94
## 14 14 B 5 2 NA 109.00 74.28 75.06 93.25 111.10 95.59 37.35
## 15 15 C 6 3 95.75 93.05 137.10 90.05 66.92 81.74 84.90 58.41
## 16 16 C 5 1 63.83 NA NA NA NA NA NA NA
## 17 17 A 5 2 79.95 120.10 139.70 83.38 98.11 75.17 107.10 74.09
## 18 18 C 4 1 93.30 91.98 121.80 105.60 104.30 101.70 102.10 85.33
## 19 19 A 6 6 NA 65.13 NA 100.70 73.24 63.06 81.76 66.05
## 20 20 A 7 5 NA 72.93 98.08 77.94 90.83 90.92 123.40 56.71
## 21 21 A 8 6 NA 78.93 85.79 76.04 86.14 80.59 68.94 75.47
## 22 22 B 8 6 91.75 97.33 115.00 88.52 95.55 86.19 125.80 65.53
## 23 23 B 7 5 62.26 109.40 84.08 106.60 82.56 70.90 104.80 53.47
## 24 24 C 7 5 102.20 86.74 72.34 NA NA NA NA NA
## 25 25 C 8 6 74.79 70.94 99.79 107.60 110.00 NA NA NA
## 26 26 A 8 6 NA 74.57 74.43 141.70 75.20 89.04 103.70 63.92
## 27 27 C 9 4 71.83 58.95 NA NA NA NA NA NA
## 28 28 B 5 5 113.60 72.74 122.40 70.95 72.24 33.49 139.10 NA
## 29 29 C 8 6 70.00 70.03 NA NA NA NA NA NA
## 30 30 A 5 5 85.21 71.17 79.03 78.72 99.53 57.38 136.00 NA
## 31 31 A 9 4 97.95 76.68 84.25 67.73 85.83 87.92 79.26 48.75
## 32 32 C 5 4 77.81 89.22 102.00 100.50 NA NA NA NA
## 33 33 B 9 4 108.80 84.12 69.66 52.57 124.40 99.07 89.84 58.32
## 34 34 C 5 5 97.98 103.30 63.93 83.84 NA NA NA NA## bk
## trat 1 2 3 4 5 6
## A 2 2 1 1 2 3
## B 1 2 2 1 2 1
## C 2 1 2 2 2 2Exploração individual 
ANOVA: Glicose » DBC com arreglo fatorial dos tratamentos (Sucedâneo * Semanas) Tratamentos A, B e C
## ------------------------------------------------------------------------
## Legenda:
## FATOR 1: Sucedâneo
## FATOR 2: Semanas
## ------------------------------------------------------------------------
##
##
## Quadro da analise de variancia
## ------------------------------------------------------------------------
## GL SQ QM Fc Pr>Fc
## Bloco 5 464 92.73 0.2560 0.93627
## Sucedâneo 2 224 111.81 0.3087 0.73483
## Semanas 7 12485 1783.55 4.9244 0.00005
## Sucedâneo*Semanas 14 3345 238.92 0.6597 0.81065
## Residuo 161 58312 362.19
## Total 189 74829
## ------------------------------------------------------------------------
## CV = 22.16 %
##
## ------------------------------------------------------------------------
## Teste de normalidade dos residuos (Shapiro-Wilk)
## p-valor: 0.3143993
## De acordo com o teste de Shapiro-Wilk a 5% de significancia, os residuos podem ser considerados normais.
## ------------------------------------------------------------------------
##
## Interacao nao significativa: analisando os efeitos simples
## ------------------------------------------------------------------------
## Sucedâneo
## De acordo com o teste F, as medias desse fator sao estatisticamente iguais.
## Niveis Medias
## 1 A 84.82063
## 2 B 86.82154
## 3 C 86.34696
## ------------------------------------------------------------------------
## Semanas
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a 3 92.1172
## a 7 91.83
## a 4 89.06692
## a 5 89.02125
## a 2 88.47429
## a 1 86.949
## ab 6 81.4613
## b 8 64.71667
## ------------------------------------------------------------------------Grafico 
# Escore fecal
## ani trat bloc bk 1 2 3 4 5 6 7 8
## 2 2 B 2 1 NA NA 2.83 3.86 3.43 3.00 4.29 3.86
## 4 4 C 3 3 NA 3.33 4.00 NA NA NA NA NA
## 5 5 B 3 2 NA 2.60 4.00 3.00 3.00 3.14 3.86 2.29
## 6 6 A 1 3 NA 3.14 2.86 2.14 2.71 2.86 3.00 2.71
## 7 7 A 3 2 1.33 3.29 1.71 2.29 1.43 3.14 3.29 2.00
## 8 8 B 1 3 3.33 3.57 3.43 2.86 2.86 3.29 3.14 2.14
## 9 9 C 2 2 4.00 3.86 3.29 4.00 2.57 3.29 3.57 3.57
## 10 10 A 2 1 3.00 3.57 2.14 2.86 1.71 3.43 3.86 4.00
## 11 11 B 6 3 NA NA 3.14 3.14 2.86 3.57 4.00 4.00
## 12 12 A 4 1 NA 4.00 3.71 2.86 2.57 3.14 3.86 3.00
## 14 14 B 5 2 NA 3.67 3.29 3.29 3.57 3.86 4.14 4.00
## 15 15 C 6 3 4.00 3.71 3.00 4.43 4.29 4.00 4.29 4.71
## 16 16 C 5 1 3.50 4.00 NA NA NA NA NA NA
## 17 17 A 5 2 1.33 3.14 2.86 2.29 1.71 2.86 3.43 2.00
## 18 18 C 4 1 3.25 3.71 4.29 4.00 3.00 3.43 3.43 1.57
## 19 19 A 6 6 NA 3.67 3.43 3.00 2.86 4.14 3.29 1.43
## 20 20 A 7 5 NA 3.86 4.29 3.43 4.00 3.71 2.00 1.14
## 21 21 A 8 6 3.00 4.00 2.86 4.43 4.00 3.86 3.00 2.14
## 22 22 B 8 6 3.00 3.86 3.71 3.71 4.00 4.57 3.71 1.57
## 23 23 B 7 5 3.00 3.43 3.71 3.57 3.57 4.57 4.14 3.57
## 24 24 C 7 5 3.25 3.71 3.86 3.67 NA NA NA NA
## 25 25 C 8 6 3.00 3.57 3.57 3.29 4.00 4.50 NA NA
## 26 26 A 8 6 NA 4.29 3.57 3.43 2.57 2.57 1.43 1.00
## 27 27 C 9 4 4.00 4.14 4.67 NA NA NA NA NA
## 28 28 B 5 5 3.50 3.71 3.29 4.00 4.43 4.57 3.43 3.75
## 29 29 C 8 6 3.50 4.00 4.00 NA NA NA NA NA
## 30 30 A 5 5 4.67 4.43 3.71 4.14 4.14 4.57 3.29 3.57
## 31 31 A 9 4 3.25 3.43 3.71 3.43 3.57 2.71 2.43 2.57
## 32 32 C 5 4 3.75 3.86 3.43 3.71 4.00 NA NA NA
## 33 33 B 9 4 4.00 3.86 3.71 4.43 4.00 4.29 4.00 3.43
## 34 34 C 5 5 3.60 3.57 3.29 4.00 4.67 NA NA NA## bk
## trat 1 2 3 4 5 6
## A 2 2 1 1 2 3
## B 1 2 2 1 2 1
## C 2 1 2 2 2 2Exploração individual 
ANOVA de Score fecal » DBC com arreglo fatorial dos tratamentos: Sucedâneo (A,B,C) * Semanas
## ------------------------------------------------------------------------
## Legenda:
## FATOR 1: Sucedâneo
## FATOR 2: Semanas
## ------------------------------------------------------------------------
##
##
## Quadro da analise de variancia
## ------------------------------------------------------------------------
## GL SQ QM Fc Pr>Fc
## Bloco 5 12.542 2.5084 6.1048 0.00003
## Sucedâneo 2 15.850 7.9248 19.2870 0.00000
## Semanas 7 12.173 1.7390 4.2323 0.00024
## Sucedâneo*Semanas 14 5.358 0.3827 0.9315 0.52632
## Residuo 174 71.495 0.4109
## Total 202 117.418
## ------------------------------------------------------------------------
## CV = 18.9 %
##
## ------------------------------------------------------------------------
## Teste de normalidade dos residuos (Shapiro-Wilk)
## p-valor: 0.3800447
## De acordo com o teste de Shapiro-Wilk a 5% de significancia, os residuos podem ser considerados normais.
## ------------------------------------------------------------------------
##
## Interacao nao significativa: analisando os efeitos simples
## ------------------------------------------------------------------------
## Sucedâneo
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a C 3.716667
## a B 3.551515
## b A 3.051205
## ------------------------------------------------------------------------
##
## Semanas
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a 2 3.688966
## a 6 3.627917
## a 4 3.454074
## a 3 3.445333
## a 7 3.429565
## ab 1 3.298095
## ab 5 3.289231
## b 8 2.783478
## ------------------------------------------------------------------------Grafico 
# Hematôcrito
## ani trat bloc 1 2 3 4 5 6 7 8 bk
## 2 2 B 2 NA NA 24 24 23 24 22 23 1
## 4 4 C 3 NA 28 NA NA NA NA NA NA 3
## 5 5 B 3 NA 21 20 22 25 18 19 21 2
## 6 6 A 1 NA 28 26 23 24 24 23 23 3
## 7 7 A 3 23 28 24 25 19 24 23 26 2
## 8 8 B 1 24 24 21 22 20 24 27 25 3
## 9 9 C 2 23 24 22 22 20 22 27 25 2
## 10 10 A 2 27 25 25 20 20 20 22 24 1
## 11 11 B 6 NA NA 17 16 14 15 18 20 3
## 12 12 A 4 NA 19 17 18 18 21 22 23 1
## 14 14 B 5 NA 29 19 18 15 16 13 10 2
## 15 15 C 6 30 26 24 23 22 24 19 18 3
## 16 16 C 5 23 NA NA NA NA NA NA NA 1
## 17 17 A 5 21 21 19 20 21 18 13 18 2
## 18 18 C 4 28 26 24 21 20 20 22 25 1
## 19 19 A 6 NA 21 21 21 20 18 15 18 6
## 20 20 A 7 NA 27 22 20 21 18 13 19 5
## 21 21 A 8 NA 22 19 21 19 20 15 20 6
## 22 22 B 8 23 24 20 20 20 17 18 23 6
## 23 23 B 7 24 27 22 19 16 13 12 12 5
## 24 24 C 7 24 25 20 NA NA NA NA NA 5
## 25 25 C 8 22 23 20 21 15 NA NA NA 6
## 26 26 A 8 NA 25 21 22 21 20 19 23 6
## 27 27 C 9 33 31 NA NA NA NA NA NA 4
## 28 28 B 5 28 31 27 27 18 14 14 NA 5
## 29 29 C 8 29 29 NA NA NA NA NA NA 6
## 30 30 A 5 19 22 21 19 13 10 15 NA 5
## 31 31 A 9 33 27 26 22 15 10 15 12 4
## 32 32 C 5 29 31 31 27 NA NA NA NA 4
## 33 33 B 9 32 28 24 20 24 16 16 19 4
## 34 34 C 5 27 23 21 NA NA NA NA NA 5## bk
## trat 1 2 3 4 5 6
## A 2 2 1 1 2 3
## B 1 2 2 1 2 1
## C 2 1 2 2 2 2Exploração individual 
ANOVA: Hematocrito » DBC com arreglo fatorial dos tratamentos: Sucedâneo (A,B,C) * Semanas
## ------------------------------------------------------------------------
## Legenda:
## FATOR 1: Sucedâneo
## FATOR 2: Semanas
## ------------------------------------------------------------------------
##
##
## Quadro da analise de variancia
## ------------------------------------------------------------------------
## GL SQ QM Fc Pr>Fc
## Bloco 5 257.1 51.428 3.9905 0.00193
## Sucedâneo 2 369.4 184.712 14.3325 0.00000
## Semanas 7 1200.9 171.555 13.3116 0.00000
## Sucedâneo*Semanas 14 96.5 6.892 0.5348 0.90969
## Residuo 162 2087.8 12.888
## Total 190 4011.7
## ------------------------------------------------------------------------
## CV = 16.7 %
##
## ------------------------------------------------------------------------
## Teste de normalidade dos residuos (Shapiro-Wilk)
## p-valor: 0.6907182
## De acordo com o teste de Shapiro-Wilk a 5% de significancia, os residuos podem ser considerados normais.
## ------------------------------------------------------------------------
##
## Interacao nao significativa: analisando os efeitos simples
## ------------------------------------------------------------------------
## Sucedâneo
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a C 24.2
## b A 20.67901
## b B 20.63077
## ------------------------------------------------------------------------
##
## Semanas
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a 1 26.1
## a 2 25.53571
## b 3 22.11111
## bc 4 21.32
## bc 8 20.33333
## bc 5 19.29167
## c 6 18.52174
## c 7 18.34783
## ------------------------------------------------------------------------Grafico 
# Altura na cernelha
## ani trat bloc bk 1 2 3 4 5 6 7 8
## 2 2 B 2 1 NA NA 78.0 81.1 81.1 82.3 84.3 85.5
## 4 4 C 3 3 NA 77.4 NA NA NA NA NA NA
## 5 5 B 3 2 NA 79.4 83.4 83.4 81.6 84.5 85.8 87.6
## 6 6 A 1 3 79.9 83.4 84.0 85.1 86.8 86.9 88.0 88.0
## 7 7 A 3 2 81.6 83.5 85.5 87.7 87.6 89.5 89.7 92.5
## 8 8 B 1 3 79.6 80.0 84.0 82.2 84.3 86.9 89.0 89.0
## 9 9 C 2 2 80.7 81.4 79.8 80.6 81.0 85.0 83.8 84.0
## 10 10 A 2 1 74.0 76.4 76.4 77.0 77.5 79.3 79.5 81.2
## 11 11 B 6 3 NA 79.5 79.5 83.5 82.7 81.0 82.0 82.6
## 12 12 A 4 1 NA 73.8 75.5 75.3 78.2 77.9 80.0 79.7
## 14 14 B 5 2 NA 80.8 79.8 79.5 81.8 81.8 83.0 81.8
## 15 15 C 6 3 79.6 80.2 81.8 79.4 80.9 82.7 86.0 81.6
## 16 16 C 5 1 78.0 NA NA NA NA NA NA NA
## 17 17 A 5 2 78.5 78.6 81.9 83.0 86.0 85.0 85.2 86.8
## 18 18 C 4 1 77.8 77.8 80.0 81.4 81.5 81.2 82.4 87.6
## 19 19 A 6 6 NA 81.5 82.8 82.4 83.4 82.3 85.3 86.5
## 20 20 A 7 5 78.9 78.0 80.7 81.6 80.7 82.6 82.5 86.1
## 21 21 A 8 6 80.6 81.8 82.2 81.4 84.5 85.0 85.1 86.3
## 22 22 B 8 6 82.8 80.8 82.4 84.3 83.0 83.6 87.1 87.9
## 23 23 B 7 5 79.8 79.4 80.0 80.4 82.4 81.5 83.2 81.9
## 24 24 C 7 5 77.4 78.7 78.4 NA NA NA NA NA
## 25 25 C 8 6 81.0 81.0 82.4 81.8 80.9 NA NA NA
## 26 26 A 8 6 80.9 80.9 82.4 82.6 83.6 86.3 85.0 87.4
## 27 27 C 9 4 77.6 79.4 NA NA NA NA NA NA
## 28 28 B 5 5 74.4 75.7 79.0 76.3 78.2 78.0 78.4 NA
## 29 29 C 8 6 80.5 80.8 NA NA NA NA NA NA
## 30 30 A 5 5 76.5 79.2 79.6 79.7 80.8 78.8 79.5 NA
## 31 31 A 9 4 76.5 75.5 76.7 76.6 75.6 76.0 75.0 76.5
## 32 32 C 5 4 82.0 80.0 81.3 82.4 NA NA NA NA
## 33 33 B 9 4 78.4 78.0 77.8 79.0 79.0 81.4 79.5 81.0
## 34 34 C 5 5 74.8 76.3 76.8 NA NA NA NA NA## bk
## trat 1 2 3 4 5 6
## A 2 2 1 1 2 3
## B 1 2 2 1 2 1
## C 2 1 2 2 2 2Exploração individual 
ANOVA: Altura na cernelha (cm) » DBC com arreglo fatorial dos tratamentos: Sucedâneo (A,B,C) * Semanas
## ------------------------------------------------------------------------
## Legenda:
## FATOR 1: Sucedâneo
## FATOR 2: Semanas
## ------------------------------------------------------------------------
##
##
## Quadro da analise de variancia
## ------------------------------------------------------------------------
## GL SQ QM Fc Pr>Fc
## Bloco 5 843.73 168.745 31.5060 0.00000
## Sucedâneo 2 29.25 14.623 2.7302 0.06812
## Semanas 7 567.84 81.120 15.1457 0.00000
## Sucedâneo*Semanas 14 22.36 1.597 0.2982 0.99361
## Residuo 167 894.45 5.356
## Total 195 2357.62
## ------------------------------------------------------------------------
## CV = 2.84 %
##
## ------------------------------------------------------------------------
## Teste de normalidade dos residuos (Shapiro-Wilk)
## p-valor: 0.9008961
## De acordo com o teste de Shapiro-Wilk a 5% de significancia, os residuos podem ser considerados normais.
## ------------------------------------------------------------------------
##
## Interacao nao significativa: analisando os efeitos simples
## ------------------------------------------------------------------------
## Sucedâneo
## De acordo com o teste F, as medias desse fator sao estatisticamente iguais.
## Niveis Medias
## 1 A 81.64941
## 2 B 81.61970
## 3 C 80.60222
## ------------------------------------------------------------------------
## Semanas
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a 8 84.83333
## ab 7 83.44783
## bc 6 82.58696
## bcd 5 81.79583
## cde 4 81.108
## def 3 80.44815
## ef 2 79.28276
## f 1 78.825
## ------------------------------------------------------------------------Grafico 
Regressao linear » ganhos diarios
## ani trat bk p_valor AdjR2 b0 b1
## 1 2 B 1 0.001 0.93 74.5 0.197
## 2 5 B 2 0.010 0.72 78.2 0.156
## 3 6 A 3 0.000 0.88 80.4 0.153
## 4 7 A 2 0.000 0.95 80.8 0.203
## 5 8 B 3 0.000 0.90 77.9 0.207
## 6 10 A 1 0.000 0.93 73.6 0.128
## 7 11 B 3 0.179 0.19 79.4 0.060
## 8 12 A 1 0.001 0.89 72.0 0.149
## 9 14 B 2 0.066 0.43 79.1 0.060
## 10 17 A 2 0.001 0.85 77.6 0.176
## 11 19 A 6 0.014 0.68 79.9 0.102
## 12 20 A 5 0.002 0.80 77.2 0.132
## 13 21 A 6 0.000 0.87 79.7 0.115
## 14 22 B 6 0.008 0.67 80.3 0.118
## 15 23 B 5 0.007 0.69 78.9 0.068
## 16 26 A 6 0.000 0.89 79.4 0.134
## 17 28 B 5 0.068 0.42 74.9 0.081
## 18 30 A 5 0.203 0.16 77.8 0.048
## 19 31 A 4 0.532 -0.09 76.3 -0.010
## 20 33 B 4 0.016 0.59 77.3 0.062## bk
## trat 1 2 3 4 5 6
## A 2 2 1 1 2 3
## B 1 2 2 1 2 1
## C 0 0 0 0 0 0
## $`Analysis of variance`
## df type III SS mean square F value p>F
## treatments 1 0.0003 0.0003 0.1044 0.7518
## blocks 5 0.0319 0.0064 2.6037 0.0764
## Residuals 13 0.0319 0.0025 - -
##
## $`Adjusted means`
## treatment adjusted.mean standard.error tukey snk duncan t scott_knott
## 1 A 0.1155 0.0156 a a a a a
## 2 B 0.1080 0.0170 a a a a a
##
## $`Multiple comparison test`
## pair contrast p(tukey) p(snk) p(duncan) p(t)
## 1 A - B 0.0075 0.7503 0.7503 0.7503 0.7503
##
## $`Residual analysis`
## values
## p.value Shapiro-Wilk test 0.7202
## p.value Bartlett test 0.9511
## coefficient of variation (%) 42.3500
## first value most discrepant 9.0000
## second value most discrepant 7.0000
## third value most discrepant 5.0000Grafico das regressoes 
# PerÃmetro torácico
## ani trat bloc bk 1 2 3 4 5 6 7 8
## 2 2 B 2 1 NA NA 80 82 87 88 89 91
## 4 4 C 3 3 NA 80 NA NA NA NA NA NA
## 5 5 B 3 2 NA 80 85 90 87 91 94 96
## 6 6 A 1 3 81 85 86 91 94 99 99 100
## 7 7 A 3 2 80 82 84 87 92 92 92 94
## 8 8 B 1 3 83 84 85 87 89 93 93 99
## 9 9 C 2 2 75 75 80 81 85 89 87 89
## 10 10 A 2 1 73 74 75 77 81 83 83 85
## 11 11 B 6 3 NA 85 82 82 83 84 85 86
## 12 12 A 4 1 NA 72 76 78 81 82 82 83
## 14 14 B 5 2 NA 78 76 77 80 80 83 79
## 15 15 C 6 3 80 81 82 84 85 86 86 84
## 16 16 C 5 1 77 NA NA NA NA NA NA NA
## 17 17 A 5 2 78 78 84 88 91 90 90 88
## 18 18 C 4 1 73 73 75 77 80 84 85 87
## 19 19 A 6 6 NA 80 85 85 86 91 92 94
## 20 20 A 7 5 81 81 84 83 84 88 90 91
## 21 21 A 8 6 81 81 82 83 85 86 87 86
## 22 22 B 8 6 81 83 82 82 89 90 91 84
## 23 23 B 7 5 77 79 79 83 84 81 81 81
## 24 24 C 7 5 78 74 79 NA NA NA NA NA
## 25 25 C 8 6 76 77 77 78 80 NA NA NA
## 26 26 A 8 6 86 84 82 86 89 87 89 93
## 27 27 C 9 4 77 73 NA NA NA NA NA NA
## 28 28 B 5 5 79 76 76 82 84 78 76 NA
## 29 29 C 8 6 80 77 NA NA NA NA NA NA
## 30 30 A 5 5 79 74 76 79 78 79 77 NA
## 31 31 A 9 4 73 71 72 74 75 76 78 79
## 32 32 C 5 4 78 78 76 78 NA NA NA NA
## 33 33 B 9 4 80 79 80 81 81 82 84 88
## 34 34 C 5 5 80 75 76 NA NA NA NA NA## bk
## trat 1 2 3 4 5 6
## A 2 2 1 1 2 3
## B 1 2 2 1 2 1
## C 2 1 2 2 2 2Exploração individual 
ANOVA: PerÃmetro torácico (cm) » DBC com arreglo fatorial dos tratamentos (Sucedâneo * Semanas)
## ------------------------------------------------------------------------
## Legenda:
## FATOR 1: Sucedâneo
## FATOR 2: Semanas
## ------------------------------------------------------------------------
##
##
## Quadro da analise de variancia
## ------------------------------------------------------------------------
## GL SQ QM Fc Pr>Fc
## Bloco 5 1798.9 359.78 24.8042 0.00000
## Sucedâneo 2 554.3 277.14 19.1065 0.00000
## Semanas 7 1929.6 275.66 19.0048 0.00000
## Sucedâneo*Semanas 14 72.4 5.17 0.3567 0.98443
## Residuo 167 2422.3 14.50
## Total 195 6777.6
## ------------------------------------------------------------------------
## CV = 4.6 %
##
## ------------------------------------------------------------------------
## Teste de normalidade dos residuos (Shapiro-Wilk)
## p-valor: 0.4522822
## De acordo com o teste de Shapiro-Wilk a 5% de significancia, os residuos podem ser considerados normais.
## ------------------------------------------------------------------------
##
## Interacao nao significativa: analisando os efeitos simples
## ------------------------------------------------------------------------
## Sucedâneo
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a B 83.72727
## a A 83.67059
## b C 79.71111
## ------------------------------------------------------------------------
##
## Semanas
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a 8 88.42857
## ab 7 86.65217
## ab 6 86.04348
## bc 5 84.58333
## cd 4 82.2
## de 3 79.85185
## e 1 78.58333
## e 2 78.24138
## ------------------------------------------------------------------------Grafico 
Regressao linear » ganhos diarios
## ani trat bk p_valor AdjR2 b0 b1
## 1 2 B 1 0.002 0.92 74.1 0.314
## 2 5 B 2 0.001 0.87 77.0 0.342
## 3 6 A 3 0.000 0.95 78.7 0.417
## 4 7 A 2 0.000 0.92 78.4 0.301
## 5 8 B 3 0.000 0.93 79.3 0.311
## 6 10 A 1 0.000 0.95 70.5 0.267
## 7 11 B 3 0.212 0.15 81.9 0.056
## 8 12 A 1 0.002 0.86 70.4 0.250
## 9 14 B 2 0.101 0.34 75.4 0.102
## 10 17 A 2 0.011 0.64 77.8 0.257
## 11 19 A 6 0.000 0.93 76.5 0.316
## 12 20 A 5 0.000 0.89 78.4 0.218
## 13 21 A 6 0.000 0.89 79.6 0.134
## 14 22 B 6 0.075 0.34 80.3 0.156
## 15 23 B 5 0.132 0.23 78.2 0.077
## 16 26 A 6 0.019 0.57 82.1 0.156
## 17 28 B 5 0.878 -0.19 78.3 0.015
## 18 30 A 5 0.599 -0.13 76.6 0.031
## 19 31 A 4 0.001 0.85 69.9 0.153
## 20 33 B 4 0.004 0.73 77.2 0.148## bk
## trat 1 2 3 4 5 6
## A 2 2 1 1 2 3
## B 1 2 2 1 2 1
## C 0 0 0 0 0 0
## $`Analysis of variance`
## df type III SS mean square F value p>F
## treatments 1 0.0185 0.0185 1.815 0.2009
## blocks 5 0.0989 0.0198 1.9404 0.1556
## Residuals 13 0.1325 0.0102 - -
##
## $`Adjusted means`
## treatment adjusted.mean standard.error tukey snk duncan t scott_knott
## 1 A 0.2316 0.0318 a a a a a
## 2 B 0.1681 0.0346 a a a a a
##
## $`Multiple comparison test`
## pair contrast p(tukey) p(snk) p(duncan) p(t)
## 1 A - B 0.0635 0.1997 0.1997 0.1997 0.1997
##
## $`Residual analysis`
## values
## p.value Shapiro-Wilk test 0.5615
## p.value Bartlett test 0.6433
## coefficient of variation (%) 50.2100
## first value most discrepant 7.0000
## second value most discrepant 2.0000
## third value most discrepant 9.0000Grafico das regressoes 
# Largura da garupa
## ani trat bloc bk 1 2 3 4 5 6 7 8
## 2 2 B 2 1 NA NA 21.2 22.0 23.1 23.1 24.5 25.1
## 4 4 C 3 3 NA 20.7 NA NA NA NA NA NA
## 5 5 B 3 2 NA 21.5 22.0 23.2 23.0 24.5 24.3 25.0
## 6 6 A 1 3 22.0 22.4 24.1 23.3 24.0 25.7 24.3 25.6
## 7 7 A 3 2 21.9 20.9 23.5 23.7 24.7 23.3 24.8 24.7
## 8 8 B 1 3 21.8 22.3 22.2 23.6 24.2 24.9 25.0 23.5
## 9 9 C 2 2 21.5 21.0 21.2 21.2 23.0 23.5 23.8 23.0
## 10 10 A 2 1 18.5 19.0 19.7 20.1 20.8 20.7 22.0 21.6
## 11 11 B 6 3 NA 21.5 22.5 22.6 22.8 23.7 24.1 23.6
## 12 12 A 4 1 NA 19.6 20.7 21.9 21.1 22.5 23.2 22.0
## 14 14 B 5 2 NA 21.3 21.6 21.4 21.5 22.2 22.7 22.5
## 15 15 C 6 3 22.4 22.3 23.0 22.7 23.4 23.4 23.3 23.5
## 16 16 C 5 1 20.8 NA NA NA NA NA NA NA
## 17 17 A 5 2 22.0 22.6 22.7 24.5 24.7 25.5 24.3 25.0
## 18 18 C 4 1 21.2 21.1 20.8 21.0 23.2 22.6 23.1 23.9
## 19 19 A 6 6 NA 23.2 24.2 23.7 24.6 23.7 24.5 24.3
## 20 20 A 7 5 21.4 21.8 22.5 23.0 23.1 23.6 24.2 23.5
## 21 21 A 8 6 22.7 23.0 22.8 22.9 23.5 23.8 23.6 23.2
## 22 22 B 8 6 22.0 22.9 22.8 22.0 23.1 22.8 24.0 24.0
## 23 23 B 7 5 21.0 21.4 21.3 22.0 22.3 21.1 22.1 20.8
## 24 24 C 7 5 21.4 21.0 20.8 NA NA NA NA NA
## 25 25 C 8 6 22.0 21.2 22.0 21.7 22.0 NA NA NA
## 26 26 A 8 6 22.6 23.0 22.0 22.8 23.7 23.1 24.7 24.1
## 27 27 C 9 4 21.0 21.1 NA NA NA NA NA NA
## 28 28 B 5 5 21.2 20.7 21.8 21.5 21.5 22.0 21.8 NA
## 29 29 C 8 6 22.8 22.5 NA NA NA NA NA NA
## 30 30 A 5 5 21.7 21.5 21.8 21.4 21.4 21.6 22.0 NA
## 31 31 A 9 4 19.8 20.0 19.7 21.0 20.4 19.9 20.9 21.0
## 32 32 C 5 4 21.2 20.2 21.0 21.4 NA NA NA NA
## 33 33 B 9 4 21.6 21.8 22.0 22.8 21.3 21.6 22.2 22.6
## 34 34 C 5 5 20.9 21.6 21.6 NA NA NA NA NA## bk
## trat 1 2 3 4 5 6
## A 2 2 1 1 2 3
## B 1 2 2 1 2 1
## C 2 1 2 2 2 2Exploração individual 
ANOVA: Largura da garupa (cm) » DBC com arreglo fatorial dos tratamentos: Sucedâneo (A,B,C) * Semanas
## ------------------------------------------------------------------------
## Legenda:
## FATOR 1: Sucedâneo
## FATOR 2: Semanas
## ------------------------------------------------------------------------
##
##
## Quadro da analise de variancia
## ------------------------------------------------------------------------
## GL SQ QM Fc Pr>Fc
## Bloco 5 121.20 24.2404 28.1070 0.00000
## Sucedâneo 2 11.41 5.7059 6.6160 0.00172
## Semanas 7 88.93 12.7049 14.7315 0.00000
## Sucedâneo*Semanas 14 4.71 0.3364 0.3901 0.97630
## Residuo 167 144.03 0.8624
## Total 195 370.28
## ------------------------------------------------------------------------
## CV = 4.14 %
##
## ------------------------------------------------------------------------
## Teste de normalidade dos residuos (Shapiro-Wilk)
## p-valor: 0.8828474
## De acordo com o teste de Shapiro-Wilk a 5% de significancia, os residuos podem ser considerados normais.
## ------------------------------------------------------------------------
##
## Interacao nao significativa: analisando os efeitos simples
## ------------------------------------------------------------------------
## Sucedâneo
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a A 22.59412
## a B 22.51515
## b C 21.95556
## ------------------------------------------------------------------------
##
## Semanas
## Teste de Tukey
## ------------------------------------------------------------------------
## Grupos Tratamentos Medias
## a 8 23.45238
## a 7 23.45217
## ab 6 22.9913
## ab 5 22.76667
## bc 4 22.296
## cd 3 21.90741
## cd 2 21.48621
## d 1 21.475
## ------------------------------------------------------------------------Grafico 
Regressao linear » ganhos diarios
## ani trat bk p_valor AdjR2 b0 b1
## 1 2 B 1 0.000 0.96 18.9 0.110
## 2 5 B 2 0.000 0.92 20.4 0.084
## 3 6 A 3 0.004 0.73 21.8 0.068
## 4 7 A 2 0.013 0.61 21.3 0.067
## 5 8 B 3 0.016 0.59 21.6 0.058
## 6 10 A 1 0.000 0.93 18.1 0.069
## 7 11 B 3 0.003 0.81 21.1 0.054
## 8 12 A 1 0.023 0.61 19.3 0.065
## 9 14 B 2 0.007 0.76 20.7 0.034
## 10 17 A 2 0.006 0.70 21.9 0.065
## 11 19 A 6 0.162 0.22 23.3 0.020
## 12 20 A 5 0.001 0.85 21.3 0.051
## 13 21 A 6 0.041 0.45 22.6 0.017
## 14 22 B 6 0.021 0.56 21.8 0.035
## 15 23 B 5 0.825 -0.16 21.4 0.003
## 16 26 A 6 0.023 0.54 22.0 0.039
## 17 28 B 5 0.068 0.42 20.9 0.021
## 18 30 A 5 0.598 -0.13 21.5 0.004
## 19 31 A 4 0.068 0.36 19.6 0.022
## 20 33 B 4 0.390 -0.02 21.6 0.011## bk
## trat 1 2 3 4 5 6
## A 2 2 1 1 2 3
## B 1 2 2 1 2 1
## C 0 0 0 0 0 0
## $`Analysis of variance`
## df type III SS mean square F value p>F
## treatments 1 0.0000 0.0000 0 0.9984
## blocks 5 0.0112 0.0022 6.3848 0.0033
## Residuals 13 0.0046 0.0004 - -
##
## $`Adjusted means`
## treatment adjusted.mean standard.error tukey snk duncan t scott_knott
## 1 A 0.0446 0.0059 a a a a a
## 2 B 0.0446 0.0064 a a a a a
##
## $`Multiple comparison test`
## pair contrast p(tukey) p(snk) p(duncan) p(t)
## 1 A - B 0 1 1 1 1
##
## $`Residual analysis`
## values
## p.value Shapiro-Wilk test 0.7158
## p.value Bartlett test 0.3140
## coefficient of variation (%) 41.7900
## first value most discrepant 12.0000
## second value most discrepant 1.0000
## third value most discrepant 9.0000Grafico das regressoes 
# Consumo (dias a consumir 100 gr)
## ani trat bloc bk d100
## 2 2 B 2 1 2
## 4 4 C 3 3 6
## 5 5 B 3 2 6
## 6 6 A 1 3 5
## 7 7 A 3 2 14
## 8 8 B 1 3 4
## 9 9 C 2 2 16
## 10 10 A 2 1 27
## 11 11 B 6 3 3
## 12 12 A 4 1 6
## 14 14 B 5 2 7
## 15 15 C 6 3 5
## 16 16 C 5 1 4
## 17 17 A 5 2 3
## 18 18 C 4 1 3
## 19 19 A 6 6 20
## 20 20 A 7 5 6
## 21 21 A 8 6 7
## 22 22 B 8 6 19
## 23 23 B 7 5 6
## 24 24 C 7 5 7
## 25 25 C 8 6 6
## 26 26 A 8 6 10
## 27 27 C 9 4 17
## 28 28 B 5 5 31
## 29 29 C 8 6 13
## 30 30 A 5 5 6
## 31 31 A 9 4 18
## 32 32 C 5 4 23
## 33 33 B 9 4 15
## 34 34 C 5 5 9## bk
## trat 1 2 3 4 5 6
## A 2 2 1 1 2 3
## B 1 2 2 1 2 1
## C 2 1 2 2 2 2ANOVA DBC: Dias a consumir 100 gr 
## $`Analysis of variance`
## df type III SS mean square F value p>F
## treatments 2 12.8035 6.4018 0.1165 0.8905
## blocks 5 474.3384 94.8677 1.7269 0.1685
## Residuals 23 1263.4798 54.9339 - -
##
## $`Adjusted means`
## treatment adjusted.mean standard.error tukey snk duncan t scott_knott
## 1 B 11.1641 2.5123 a a a a a
## 2 A 11.0889 2.2927 a a a a a
## 3 C 9.7588 2.2520 a a a a a
##
## $`Multiple comparison test`
## pair contrast p(tukey) p(snk) p(duncan) p(t)
## 1 B - A 0.0752 0.9997 0.9826 0.9826 0.9826
## 2 B - C 1.4053 0.9092 0.9092 0.6986 0.6809
## 3 A - C 1.3301 0.9103 0.6828 0.6828 0.6828
##
## $`Residual analysis`
## values
## p.value Shapiro-Wilk test 0.0001
## p.value Bartlett test 0.5038
## coefficient of variation (%) 70.9100
## first value most discrepant 25.0000
## second value most discrepant 8.0000
## third value most discrepant 7.0000Filas 8 e 25 sao discrepantes 
## $`Analysis of variance`
## df type III SS mean square F value p>F
## treatments 2 12.3915 6.1958 0.3789 0.6892
## blocks 5 635.5006 127.1001 7.7724 <0.001
## Residuals 21 343.4085 16.3528 - -
##
## $`Adjusted means`
## treatment adjusted.mean standard.error tukey snk duncan t scott_knott
## 1 C 9.9343 1.2289 a a a a a
## 2 A 9.0621 1.3220 a a a a a
## 3 B 8.2775 1.4550 a a a a a
##
## $`Multiple comparison test`
## pair contrast p(tukey) p(snk) p(duncan) p(t)
## 1 C - A 0.8722 0.8800 0.6339 0.6339 0.6339
## 2 C - B 1.6568 0.6647 0.6647 0.4209 0.3942
## 3 A - B 0.7846 0.9163 0.6938 0.6938 0.6938
##
## $`Residual analysis`
## values
## p.value Shapiro-Wilk test 0.0566
## p.value Bartlett test 0.9579
## coefficient of variation (%) 44.0900
## first value most discrepant 15.0000
## second value most discrepant 18.0000
## third value most discrepant 21.0000Grafico 