setwd("/Volumes/GoogleDrive/Mi unidad/Agrosavia/Colaboraciones/Laura/BD Estadística SGR Santander/data")
datos5<-read.table("veinteclosep.csv", header=T, sep=',')
datos5$gen<-as.factor(datos5$gen)
datos5$bloque<-as.factor(datos5$bloque)
datos5$semana<-as.factor(datos5$semana)
attach(datos5)
library(ggplot2)
library(emmeans)
#Gráfica altura
ggplot(datos5, aes(semana, alt, group = gen, colour = gen)) +
geom_smooth(method="lm", se=F) +
theme_classic() +
xlab ("Semana") +
ylab ("Altura") +
labs(colour = "Genotipo") +
theme_linedraw() +
theme(
plot.title = element_text(hjust = 0.5, size = 16),
strip.text = element_text(size = 16),
axis.title.y = element_text(size = 16),
axis.title.x = element_text(size = 16),
axis.text.x = element_text(size = 14),
axis.text.y = element_text(size = 14)
)
## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 54 rows containing non-finite values (stat_smooth).
# Gráfica diámetro patrón
ggplot(datos5, aes(semana, patrodia, group = gen, colour = gen)) +
geom_smooth(method="lm", se=F) +
theme_classic() +
xlab ("Semana") +
ylab ("Diámetro del patrón") +
labs(colour = "Genotipo") +
theme_linedraw() +
theme(
plot.title = element_text(hjust = 0.5, size = 16),
strip.text = element_text(size = 16),
axis.title.y = element_text(size = 16),
axis.title.x = element_text(size = 16),
axis.text.x = element_text(size = 14),
axis.text.y = element_text(size = 14)
)
## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 58 rows containing non-finite values (stat_smooth).
#Gráfica diámetro injerto
ggplot(datos5, aes(semana, injedia, group = gen, colour = gen)) +
geom_smooth(method="lm", se=F) +
theme_classic() +
xlab ("Semana") +
ylab ("Diámetro del injerto") +
labs(colour = "Genotipo") +
theme_linedraw() +
theme(
plot.title = element_text(hjust = 0.5, size = 16),
strip.text = element_text(size = 16),
axis.title.y = element_text(size = 16),
axis.title.x = element_text(size = 16),
axis.text.x = element_text(size = 14),
axis.text.y = element_text(size = 14)
)
## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 58 rows containing non-finite values (stat_smooth).
# Gráfica área copa
ggplot(datos5, aes(semana, coparea, group = gen, colour = gen)) +
geom_smooth(method="lm", se=F) +
theme_classic() +
xlab ("Semana") +
ylab ("Área de la copa") +
labs(colour = "Genotipo") +
theme_linedraw() +
theme(
plot.title = element_text(hjust = 0.5, size = 16),
strip.text = element_text(size = 16),
axis.title.y = element_text(size = 16),
axis.title.x = element_text(size = 16),
axis.text.x = element_text(size = 14),
axis.text.y = element_text(size = 14)
)
## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 54 rows containing non-finite values (stat_smooth).
# Gráfica índice de área foliar
ggplot(datos5, aes(semana, iaf, group = gen, colour = gen)) +
geom_smooth(method="lm", se=F) +
theme_classic() +
xlab ("Semana") +
ylab ("Índice de área foliar") +
labs(colour = "Genotipo") +
theme_linedraw() +
theme(
plot.title = element_text(hjust = 0.5, size = 16),
strip.text = element_text(size = 16),
axis.title.y = element_text(size = 16),
axis.title.x = element_text(size = 16),
axis.text.x = element_text(size = 14),
axis.text.y = element_text(size = 14)
)
## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 54 rows containing non-finite values (stat_smooth).
# Anova general
aov.alt<-aov(alt~semana+gen+bloque,na.action=na.exclude)
aov.patrodia<-aov(patrodia~semana+gen+bloque, na.action=na.exclude)
aov.injedia<-aov(injedia~semana+gen+bloque, na.action=na.exclude)
aov.coparea<-aov(coparea~semana+gen+bloque, na.action=na.exclude)
aov.iaf<-aov(iaf~semana+gen+bloque, na.action=na.exclude)
#Análisis para altura
library(nlme)
fit.compsym.alt <- gls(alt ~ semana+gen+bloque, data=datos5, corr=corCompSymm(, form= ~ 1 | gen),na.action=na.exclude)
fit.ar1.alt <- gls(alt ~ semana+gen+bloque, data=datos5, corr=corAR1(, form= ~ 1 | gen), na.action=na.exclude)
fit.ar1het.alt <- gls(alt ~ semana+gen+bloque, data=datos5, corr=corAR1(, form= ~ 1 | gen), weights=varIdent(form = ~ 1 | semana), na.action=na.exclude)
anova(fit.compsym.alt, fit.ar1.alt, fit.ar1het.alt) #compares the models
## Model df AIC BIC logLik Test L.Ratio p-value
## fit.compsym.alt 1 26 15780.11 15918.96 -7864.056
## fit.ar1.alt 2 26 15742.79 15881.64 -7845.397
## fit.ar1het.alt 3 28 15736.65 15886.18 -7840.325 2 vs 3 10.14399 0.0063
anova(fit.ar1.alt)
## Denom. DF: 1541
## numDF F-value p-value
## (Intercept) 1 26681.673 <.0001
## semana 2 237.152 <.0001
## gen 19 28.832 <.0001
## bloque 2 145.935 <.0001
anova(fit.ar1het.alt)
## Denom. DF: 1541
## numDF F-value p-value
## (Intercept) 1 26226.565 <.0001
## semana 2 246.629 <.0001
## gen 19 29.650 <.0001
## bloque 2 146.673 <.0001
# Análisis para diámetro del patrón
fit.compsym.patrodia <- gls(patrodia ~ semana+gen+bloque, data=datos5, corr=corCompSymm(, form= ~ 1 | gen),na.action=na.exclude)
fit.ar1.patrodia <- gls(patrodia ~ semana+gen+bloque, data=datos5, corr=corAR1(, form= ~ 1 | gen), na.action=na.exclude)
fit.ar1het.patrodia <- gls(patrodia ~ semana+gen+bloque, data=datos5, corr=corAR1(, form= ~ 1 | gen), weights=varIdent(form = ~ 1 | semana), na.action=na.exclude)
anova(fit.compsym.patrodia, fit.ar1.patrodia, fit.ar1het.patrodia) #compares the models
## Model df AIC BIC logLik Test L.Ratio
## fit.compsym.patrodia 1 26 11869.22 12008.00 -5908.611
## fit.ar1.patrodia 2 26 11814.36 11953.13 -5881.178
## fit.ar1het.patrodia 3 28 11787.00 11936.45 -5865.500 2 vs 3 31.35614
## p-value
## fit.compsym.patrodia
## fit.ar1.patrodia
## fit.ar1het.patrodia <.0001
anova(fit.ar1.patrodia)
## Denom. DF: 1537
## numDF F-value p-value
## (Intercept) 1 21687.142 <.0001
## semana 2 214.630 <.0001
## gen 19 15.558 <.0001
## bloque 2 194.097 <.0001
anova(fit.ar1het.patrodia)
## Denom. DF: 1537
## numDF F-value p-value
## (Intercept) 1 21449.078 <.0001
## semana 2 234.225 <.0001
## gen 19 15.763 <.0001
## bloque 2 193.952 <.0001
# Análisis para diámetro del injerto
fit.compsym.injedia <- gls(injedia ~ semana+gen+bloque, data=datos5, corr=corCompSymm(, form= ~ 1 | gen),na.action=na.exclude)
fit.ar1.injedia <- gls(injedia ~ semana+gen+bloque, data=datos5, corr=corAR1(, form= ~ 1 | gen), na.action=na.exclude)
fit.ar1het.injedia <- gls(injedia ~ semana+gen+bloque, data=datos5, corr=corAR1(, form= ~ 1 | gen), weights=varIdent(form = ~ 1 | semana), na.action=na.exclude)
anova(fit.compsym.injedia, fit.ar1.injedia, fit.ar1het.injedia) #compares the models
## Model df AIC BIC logLik Test L.Ratio
## fit.compsym.injedia 1 26 11159.49 11298.27 -5553.746
## fit.ar1.injedia 2 26 11072.18 11210.95 -5510.089
## fit.ar1het.injedia 3 28 11037.89 11187.34 -5490.945 2 vs 3 38.28768
## p-value
## fit.compsym.injedia
## fit.ar1.injedia
## fit.ar1het.injedia <.0001
anova(fit.ar1.injedia)
## Denom. DF: 1537
## numDF F-value p-value
## (Intercept) 1 15301.997 <.0001
## semana 2 162.277 <.0001
## gen 19 17.822 <.0001
## bloque 2 228.427 <.0001
anova(fit.ar1het.injedia)
## Denom. DF: 1537
## numDF F-value p-value
## (Intercept) 1 15170.675 <.0001
## semana 2 179.653 <.0001
## gen 19 19.843 <.0001
## bloque 2 240.340 <.0001
# Análisis para área de la copa
fit.compsym.coparea <- gls(coparea ~ semana+gen+bloque, data=datos5, corr=corCompSymm(, form= ~ 1 | gen),na.action=na.exclude)
fit.ar1.coparea <- gls(coparea ~ semana+gen+bloque, data=datos5, corr=corAR1(, form= ~ 1 | gen), na.action=na.exclude)
fit.ar1het.coparea <- gls(coparea ~ semana+gen+bloque, data=datos5, corr=corAR1(, form= ~ 1 | gen), weights=varIdent(form = ~ 1 | semana), na.action=na.exclude)
anova(fit.compsym.coparea, fit.ar1.coparea, fit.ar1het.coparea) #compares the models
## Model df AIC BIC logLik Test L.Ratio
## fit.compsym.coparea 1 26 1207.267 1346.112 -577.6334
## fit.ar1.coparea 2 26 1147.563 1286.408 -547.7814
## fit.ar1het.coparea 3 28 1128.961 1278.486 -536.4806 2 vs 3 22.60163
## p-value
## fit.compsym.coparea
## fit.ar1.coparea
## fit.ar1het.coparea <.0001
anova(fit.ar1.coparea)
## Denom. DF: 1541
## numDF F-value p-value
## (Intercept) 1 14565.860 <.0001
## semana 2 150.721 <.0001
## gen 19 22.740 <.0001
## bloque 2 134.157 <.0001
anova(fit.ar1het.coparea)
## Denom. DF: 1541
## numDF F-value p-value
## (Intercept) 1 14319.360 <.0001
## semana 2 167.581 <.0001
## gen 19 23.436 <.0001
## bloque 2 140.124 <.0001
# Análisis para índice de área foliar
fit.compsym.iaf <- gls(iaf ~ semana+gen+bloque, data=datos5, corr=corCompSymm(, form= ~ 1 | gen),na.action=na.exclude)
fit.ar1.iaf <- gls(iaf ~ semana+gen+bloque, data=datos5, corr=corAR1(, form= ~ 1 | gen), na.action=na.exclude)
fit.ar1het.iaf <- gls(iaf ~ semana+gen+bloque, data=datos5, corr=corAR1(, form= ~ 1 | gen), weights=varIdent(form = ~ 1 | semana), na.action=na.exclude)
anova(fit.compsym.iaf, fit.ar1.iaf, fit.ar1het.iaf) #compares the models
## Model df AIC BIC logLik Test L.Ratio p-value
## fit.compsym.iaf 1 26 11261.69 11400.54 -5604.848
## fit.ar1.iaf 2 26 11144.21 11283.06 -5546.105
## fit.ar1het.iaf 3 28 10614.21 10763.74 -5279.105 2 vs 3 533.9997 <.0001
anova(fit.ar1.iaf)
## Denom. DF: 1541
## numDF F-value p-value
## (Intercept) 1 1079.6228 <.0001
## semana 2 123.8303 <.0001
## gen 19 5.6458 <.0001
## bloque 2 137.4081 <.0001
anova(fit.ar1het.iaf)
## Denom. DF: 1541
## numDF F-value p-value
## (Intercept) 1 1034.3624 <.0001
## semana 2 104.1960 <.0001
## gen 19 7.3376 <.0001
## bloque 2 130.8218 <.0001
#Tukey altura
library(multcompView)
gen.tuk.alt<-TukeyHSD(aov.alt, "gen", ordered = TRUE)
#Tukey diámetro del patrón
gen.tuk.patrodia<-TukeyHSD(aov.patrodia, "gen", ordered = TRUE)
#Tukey diámetro del injerto
gen.tuk.injedia<-TukeyHSD(aov.injedia, "gen", ordered = TRUE)
#Tukey área de la copa
gen.tuk.coparea<-TukeyHSD(aov.coparea, "gen", ordered = TRUE)
#Tukey índice de área foliar
gen.tuk.iaf<-TukeyHSD(aov.iaf, "gen", ordered = TRUE)
#Etiquetas Tukey altura
#Genotipos
generate_label_df_gen_alt <- function(gen.tuk.alt, variable){
Tukey.levels <- gen.tuk.alt[[variable]][,4]
Tukey.labels <- data.frame(multcompLetters(Tukey.levels)['Letters'])
Tukey.labels$treatment=rownames(Tukey.labels)
Tukey.labels=Tukey.labels[order(Tukey.labels$treatment) , ]
return(Tukey.labels)
}
labels.gen.alt <- generate_label_df_gen_alt(gen.tuk.alt, "gen")
labels.gen.alt
## Letters treatment
## TCS01 ab TCS01
## TCS02 bc TCS02
## TCS03 de TCS03
## TCS04 de TCS04
## TCS05 de TCS05
## TCS08 bcd TCS08
## TCS10 def TCS10
## TCS11 efg TCS11
## TCS12 de TCS12
## TCS20 h TCS20
## TCS40 bc TCS40
## TCS41 a TCS41
## TCS42 a TCS42
## TCS43 de TCS43
## TCS44 de TCS44
## TCS45 cd TCS45
## TCS46 fg TCS46
## TCS47 de TCS47
## TCS48 g TCS48
## TCS49 de TCS49
#Etiquetas Tukey diámetro del patrón
#Genotipos
generate_label_df_gen_patrodia <- function(gen.tuk.patrodia, variable){
Tukey.levels <- gen.tuk.patrodia[[variable]][,4]
Tukey.labels <- data.frame(multcompLetters(Tukey.levels)['Letters'])
Tukey.labels$treatment=rownames(Tukey.labels)
Tukey.labels=Tukey.labels[order(Tukey.labels$treatment) , ]
return(Tukey.labels)
}
labels.gen.patrodia <- generate_label_df_gen_patrodia(gen.tuk.patrodia, "gen")
labels.gen.patrodia
## Letters treatment
## TCS01 ab TCS01
## TCS02 abc TCS02
## TCS03 efg TCS03
## TCS04 abc TCS04
## TCS05 efg TCS05
## TCS08 ab TCS08
## TCS10 cde TCS10
## TCS11 fg TCS11
## TCS12 efg TCS12
## TCS20 g TCS20
## TCS40 ab TCS40
## TCS41 a TCS41
## TCS42 a TCS42
## TCS43 cdef TCS43
## TCS44 defg TCS44
## TCS45 abc TCS45
## TCS46 cde TCS46
## TCS47 bcd TCS47
## TCS48 fg TCS48
## TCS49 def TCS49
#Etiquetas Tukey diámetro del injerto
#Genotipos
generate_label_df_gen_injedia <- function(gen.tuk.injedia, variable){
Tukey.levels <- gen.tuk.injedia[[variable]][,4]
Tukey.labels <- data.frame(multcompLetters(Tukey.levels)['Letters'])
Tukey.labels$treatment=rownames(Tukey.labels)
Tukey.labels=Tukey.labels[order(Tukey.labels$treatment) , ]
return(Tukey.labels)
}
labels.gen.injedia <- generate_label_df_gen_injedia(gen.tuk.injedia, "gen")
labels.gen.injedia
## Letters treatment
## TCS01 ab TCS01
## TCS02 bcde TCS02
## TCS03 fgh TCS03
## TCS04 cdef TCS04
## TCS05 fgh TCS05
## TCS08 ab TCS08
## TCS10 defg TCS10
## TCS11 gh TCS11
## TCS12 defg TCS12
## TCS20 h TCS20
## TCS40 ab TCS40
## TCS41 a TCS41
## TCS42 a TCS42
## TCS43 fgh TCS43
## TCS44 efg TCS44
## TCS45 bc TCS45
## TCS46 efg TCS46
## TCS47 bcd TCS47
## TCS48 fgh TCS48
## TCS49 efg TCS49
#Etiquetas Tukey área de la copa
#Genotipos
generate_label_df_gen_coparea <- function(gen.tuk.coparea, variable){
Tukey.levels <- gen.tuk.coparea[[variable]][,4]
Tukey.labels <- data.frame(multcompLetters(Tukey.levels)['Letters'])
Tukey.labels$treatment=rownames(Tukey.labels)
Tukey.labels=Tukey.labels[order(Tukey.labels$treatment) , ]
return(Tukey.labels)
}
labels.gen.coparea <- generate_label_df_gen_coparea(gen.tuk.coparea, "gen")
labels.gen.coparea
## Letters treatment
## TCS01 bcd TCS01
## TCS02 abc TCS02
## TCS03 efgh TCS03
## TCS04 bcd TCS04
## TCS05 fgh TCS05
## TCS08 ab TCS08
## TCS10 efg TCS10
## TCS11 fgh TCS11
## TCS12 fgh TCS12
## TCS20 h TCS20
## TCS40 a TCS40
## TCS41 a TCS41
## TCS42 a TCS42
## TCS43 cde TCS43
## TCS44 gh TCS44
## TCS45 efgh TCS45
## TCS46 gh TCS46
## TCS47 efg TCS47
## TCS48 fgh TCS48
## TCS49 def TCS49
#Etiquetas Tukey índice de área foliar
#Genotipos
generate_label_df_gen_iaf <- function(gen.tuk.iaf, variable){
Tukey.levels <- gen.tuk.iaf[[variable]][,4]
Tukey.labels <- data.frame(multcompLetters(Tukey.levels)['Letters'])
Tukey.labels$treatment=rownames(Tukey.labels)
Tukey.labels=Tukey.labels[order(Tukey.labels$treatment) , ]
return(Tukey.labels)
}
labels.gen.iaf <- generate_label_df_gen_iaf(gen.tuk.iaf, "gen")
labels.gen.iaf
## Letters treatment
## TCS01 abcde TCS01
## TCS02 acdef TCS02
## TCS03 defg TCS03
## TCS04 abcd TCS04
## TCS05 abcde TCS05
## TCS08 ab TCS08
## TCS10 efg TCS10
## TCS11 efg TCS11
## TCS12 cdefg TCS12
## TCS20 fg TCS20
## TCS40 abc TCS40
## TCS41 b TCS41
## TCS42 ab TCS42
## TCS43 cdefg TCS43
## TCS44 cdefg TCS44
## TCS45 abcde TCS45
## TCS46 g TCS46
## TCS47 abcde TCS47
## TCS48 defg TCS48
## TCS49 g TCS49
## Gráficas contrastes de medias Altura
#Gen
contrast <- emmeans(aov.alt, ~gen)
plot(contrast, comparisons = TRUE, xlab ="Altura")
medias.gen <- emmeans(aov.alt, pairwise ~ gen)
medias.gen
## $emmeans
## gen emmean SE df lower.CL upper.CL
## TCS01 150 4.50 1541 142 159
## TCS02 162 4.27 1541 154 171
## TCS03 191 4.30 1541 182 199
## TCS04 184 4.27 1541 175 192
## TCS05 195 4.27 1541 187 203
## TCS08 170 5.33 1541 160 181
## TCS10 196 4.27 1541 188 205
## TCS11 205 4.27 1541 196 213
## TCS12 193 4.27 1541 184 201
## TCS20 246 4.27 1541 238 255
## TCS40 161 4.35 1541 153 170
## TCS41 140 4.27 1541 131 148
## TCS42 132 4.30 1541 124 141
## TCS43 187 4.67 1541 178 196
## TCS44 189 4.27 1541 180 197
## TCS45 181 4.27 1541 172 189
## TCS46 218 4.27 1541 209 226
## TCS47 189 4.27 1541 181 197
## TCS48 220 4.27 1541 212 229
## TCS49 189 4.27 1541 180 197
##
## Results are averaged over the levels of: semana, bloque
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## TCS01 - TCS02 -11.813 6.20 1541 -1.905 0.9362
## TCS01 - TCS03 -40.245 6.22 1541 -6.469 <.0001
## TCS01 - TCS04 -33.344 6.20 1541 -5.376 <.0001
## TCS01 - TCS05 -44.616 6.20 1541 -7.193 <.0001
## TCS01 - TCS08 -19.923 6.98 1541 -2.856 0.3188
## TCS01 - TCS10 -45.986 6.20 1541 -7.414 <.0001
## TCS01 - TCS11 -54.369 6.20 1541 -8.766 <.0001
## TCS01 - TCS12 -42.208 6.20 1541 -6.805 <.0001
## TCS01 - TCS20 -95.826 6.20 1541 -15.450 <.0001
## TCS01 - TCS40 -10.827 6.26 1541 -1.730 0.9749
## TCS01 - TCS41 10.779 6.20 1541 1.738 0.9737
## TCS01 - TCS42 18.150 6.22 1541 2.918 0.2801
## TCS01 - TCS43 -36.748 6.48 1541 -5.674 <.0001
## TCS01 - TCS44 -38.221 6.20 1541 -6.162 <.0001
## TCS01 - TCS45 -30.196 6.20 1541 -4.868 0.0002
## TCS01 - TCS46 -67.356 6.20 1541 -10.860 <.0001
## TCS01 - TCS47 -38.554 6.20 1541 -6.216 <.0001
## TCS01 - TCS48 -69.850 6.20 1541 -11.262 <.0001
## TCS01 - TCS49 -38.443 6.20 1541 -6.198 <.0001
## TCS02 - TCS03 -28.432 6.06 1541 -4.695 0.0005
## TCS02 - TCS04 -21.531 6.04 1541 -3.566 0.0474
## TCS02 - TCS05 -32.802 6.04 1541 -5.433 <.0001
## TCS02 - TCS08 -8.109 6.83 1541 -1.187 0.9998
## TCS02 - TCS10 -34.173 6.04 1541 -5.660 <.0001
## TCS02 - TCS11 -42.556 6.04 1541 -7.049 <.0001
## TCS02 - TCS12 -30.395 6.04 1541 -5.035 0.0001
## TCS02 - TCS20 -84.012 6.04 1541 -13.916 <.0001
## TCS02 - TCS40 0.986 6.10 1541 0.162 1.0000
## TCS02 - TCS41 22.593 6.04 1541 3.742 0.0261
## TCS02 - TCS42 29.963 6.06 1541 4.948 0.0002
## TCS02 - TCS43 -24.934 6.32 1541 -3.942 0.0126
## TCS02 - TCS44 -26.407 6.04 1541 -4.374 0.0022
## TCS02 - TCS45 -18.383 6.04 1541 -3.045 0.2094
## TCS02 - TCS46 -55.543 6.04 1541 -9.200 <.0001
## TCS02 - TCS47 -26.741 6.04 1541 -4.429 0.0017
## TCS02 - TCS48 -58.037 6.04 1541 -9.613 <.0001
## TCS02 - TCS49 -26.630 6.04 1541 -4.411 0.0018
## TCS03 - TCS04 6.901 6.06 1541 1.139 0.9999
## TCS03 - TCS05 -4.371 6.06 1541 -0.722 1.0000
## TCS03 - TCS08 20.322 6.85 1541 2.968 0.2508
## TCS03 - TCS10 -5.741 6.06 1541 -0.948 1.0000
## TCS03 - TCS11 -14.124 6.06 1541 -2.332 0.7117
## TCS03 - TCS12 -1.963 6.06 1541 -0.324 1.0000
## TCS03 - TCS20 -55.580 6.06 1541 -9.177 <.0001
## TCS03 - TCS40 29.418 6.11 1541 4.812 0.0003
## TCS03 - TCS41 51.024 6.06 1541 8.425 <.0001
## TCS03 - TCS42 58.395 6.07 1541 9.612 <.0001
## TCS03 - TCS43 3.498 6.34 1541 0.551 1.0000
## TCS03 - TCS44 2.024 6.06 1541 0.334 1.0000
## TCS03 - TCS45 10.049 6.06 1541 1.659 0.9839
## TCS03 - TCS46 -27.111 6.06 1541 -4.477 0.0014
## TCS03 - TCS47 1.691 6.06 1541 0.279 1.0000
## TCS03 - TCS48 -29.605 6.06 1541 -4.888 0.0002
## TCS03 - TCS49 1.802 6.06 1541 0.298 1.0000
## TCS04 - TCS05 -11.272 6.04 1541 -1.867 0.9469
## TCS04 - TCS08 13.421 6.83 1541 1.965 0.9162
## TCS04 - TCS10 -12.642 6.04 1541 -2.094 0.8599
## TCS04 - TCS11 -21.025 6.04 1541 -3.482 0.0620
## TCS04 - TCS12 -8.864 6.04 1541 -1.468 0.9962
## TCS04 - TCS20 -62.481 6.04 1541 -10.349 <.0001
## TCS04 - TCS40 22.517 6.10 1541 3.694 0.0309
## TCS04 - TCS41 44.123 6.04 1541 7.308 <.0001
## TCS04 - TCS42 51.494 6.06 1541 8.503 <.0001
## TCS04 - TCS43 -3.403 6.32 1541 -0.538 1.0000
## TCS04 - TCS44 -4.877 6.04 1541 -0.808 1.0000
## TCS04 - TCS45 3.148 6.04 1541 0.521 1.0000
## TCS04 - TCS46 -34.012 6.04 1541 -5.634 <.0001
## TCS04 - TCS47 -5.210 6.04 1541 -0.863 1.0000
## TCS04 - TCS48 -36.506 6.04 1541 -6.047 <.0001
## TCS04 - TCS49 -5.099 6.04 1541 -0.845 1.0000
## TCS05 - TCS08 24.693 6.83 1541 3.615 0.0404
## TCS05 - TCS10 -1.370 6.04 1541 -0.227 1.0000
## TCS05 - TCS11 -9.753 6.04 1541 -1.615 0.9881
## TCS05 - TCS12 2.407 6.04 1541 0.399 1.0000
## TCS05 - TCS20 -51.210 6.04 1541 -8.482 <.0001
## TCS05 - TCS40 33.788 6.10 1541 5.543 <.0001
## TCS05 - TCS41 55.395 6.04 1541 9.175 <.0001
## TCS05 - TCS42 62.766 6.06 1541 10.364 <.0001
## TCS05 - TCS43 7.868 6.32 1541 1.244 0.9996
## TCS05 - TCS44 6.395 6.04 1541 1.059 1.0000
## TCS05 - TCS45 14.420 6.04 1541 2.388 0.6702
## TCS05 - TCS46 -22.741 6.04 1541 -3.767 0.0239
## TCS05 - TCS47 6.062 6.04 1541 1.004 1.0000
## TCS05 - TCS48 -25.235 6.04 1541 -4.180 0.0049
## TCS05 - TCS49 6.173 6.04 1541 1.022 1.0000
## TCS08 - TCS10 -26.063 6.83 1541 -3.815 0.0201
## TCS08 - TCS11 -34.446 6.83 1541 -5.043 0.0001
## TCS08 - TCS12 -22.286 6.83 1541 -3.262 0.1191
## TCS08 - TCS20 -75.903 6.83 1541 -11.111 <.0001
## TCS08 - TCS40 9.095 6.88 1541 1.322 0.9990
## TCS08 - TCS41 30.702 6.83 1541 4.494 0.0013
## TCS08 - TCS42 38.073 6.85 1541 5.560 <.0001
## TCS08 - TCS43 -16.825 7.08 1541 -2.375 0.6799
## TCS08 - TCS44 -18.298 6.83 1541 -2.679 0.4449
## TCS08 - TCS45 -10.273 6.83 1541 -1.504 0.9949
## TCS08 - TCS46 -47.434 6.83 1541 -6.944 <.0001
## TCS08 - TCS47 -18.631 6.83 1541 -2.727 0.4085
## TCS08 - TCS48 -49.928 6.83 1541 -7.309 <.0001
## TCS08 - TCS49 -18.520 6.83 1541 -2.711 0.4205
## TCS10 - TCS11 -8.383 6.04 1541 -1.388 0.9981
## TCS10 - TCS12 3.778 6.04 1541 0.626 1.0000
## TCS10 - TCS20 -49.840 6.04 1541 -8.255 <.0001
## TCS10 - TCS40 35.159 6.10 1541 5.768 <.0001
## TCS10 - TCS41 56.765 6.04 1541 9.402 <.0001
## TCS10 - TCS42 64.136 6.06 1541 10.590 <.0001
## TCS10 - TCS43 9.239 6.32 1541 1.461 0.9964
## TCS10 - TCS44 7.765 6.04 1541 1.286 0.9993
## TCS10 - TCS45 15.790 6.04 1541 2.615 0.4935
## TCS10 - TCS46 -21.370 6.04 1541 -3.540 0.0517
## TCS10 - TCS47 7.432 6.04 1541 1.231 0.9996
## TCS10 - TCS48 -23.864 6.04 1541 -3.953 0.0121
## TCS10 - TCS49 7.543 6.04 1541 1.249 0.9996
## TCS11 - TCS12 12.160 6.04 1541 2.014 0.8968
## TCS11 - TCS20 -41.457 6.04 1541 -6.867 <.0001
## TCS11 - TCS40 43.542 6.10 1541 7.143 <.0001
## TCS11 - TCS41 65.148 6.04 1541 10.791 <.0001
## TCS11 - TCS42 72.519 6.06 1541 11.974 <.0001
## TCS11 - TCS43 17.621 6.32 1541 2.786 0.3664
## TCS11 - TCS44 16.148 6.04 1541 2.675 0.4479
## TCS11 - TCS45 24.173 6.04 1541 4.004 0.0099
## TCS11 - TCS46 -12.988 6.04 1541 -2.151 0.8292
## TCS11 - TCS47 15.815 6.04 1541 2.620 0.4903
## TCS11 - TCS48 -15.481 6.04 1541 -2.564 0.5335
## TCS11 - TCS49 15.926 6.04 1541 2.638 0.4761
## TCS12 - TCS20 -53.617 6.04 1541 -8.881 <.0001
## TCS12 - TCS40 31.381 6.10 1541 5.148 0.0001
## TCS12 - TCS41 52.988 6.04 1541 8.777 <.0001
## TCS12 - TCS42 60.359 6.06 1541 9.966 <.0001
## TCS12 - TCS43 5.461 6.32 1541 0.863 1.0000
## TCS12 - TCS44 3.988 6.04 1541 0.661 1.0000
## TCS12 - TCS45 12.012 6.04 1541 1.990 0.9067
## TCS12 - TCS46 -25.148 6.04 1541 -4.165 0.0052
## TCS12 - TCS47 3.654 6.04 1541 0.605 1.0000
## TCS12 - TCS48 -27.642 6.04 1541 -4.579 0.0009
## TCS12 - TCS49 3.765 6.04 1541 0.624 1.0000
## TCS20 - TCS40 84.998 6.10 1541 13.945 <.0001
## TCS20 - TCS41 106.605 6.04 1541 17.658 <.0001
## TCS20 - TCS42 113.976 6.06 1541 18.820 <.0001
## TCS20 - TCS43 59.078 6.32 1541 9.341 <.0001
## TCS20 - TCS44 57.605 6.04 1541 9.541 <.0001
## TCS20 - TCS45 65.630 6.04 1541 10.871 <.0001
## TCS20 - TCS46 28.469 6.04 1541 4.716 0.0005
## TCS20 - TCS47 57.272 6.04 1541 9.486 <.0001
## TCS20 - TCS48 25.975 6.04 1541 4.302 0.0029
## TCS20 - TCS49 57.383 6.04 1541 9.505 <.0001
## TCS40 - TCS41 21.607 6.10 1541 3.545 0.0509
## TCS40 - TCS42 28.977 6.11 1541 4.740 0.0004
## TCS40 - TCS43 -25.920 6.38 1541 -4.063 0.0079
## TCS40 - TCS44 -27.393 6.10 1541 -4.494 0.0013
## TCS40 - TCS45 -19.369 6.10 1541 -3.178 0.1498
## TCS40 - TCS46 -56.529 6.10 1541 -9.274 <.0001
## TCS40 - TCS47 -27.727 6.10 1541 -4.549 0.0010
## TCS40 - TCS48 -59.023 6.10 1541 -9.683 <.0001
## TCS40 - TCS49 -27.616 6.10 1541 -4.531 0.0011
## TCS41 - TCS42 7.371 6.06 1541 1.217 0.9997
## TCS41 - TCS43 -47.527 6.32 1541 -7.514 <.0001
## TCS41 - TCS44 -49.000 6.04 1541 -8.116 <.0001
## TCS41 - TCS45 -40.975 6.04 1541 -6.787 <.0001
## TCS41 - TCS46 -78.136 6.04 1541 -12.942 <.0001
## TCS41 - TCS47 -49.333 6.04 1541 -8.171 <.0001
## TCS41 - TCS48 -80.630 6.04 1541 -13.355 <.0001
## TCS41 - TCS49 -49.222 6.04 1541 -8.153 <.0001
## TCS42 - TCS43 -54.898 6.34 1541 -8.655 <.0001
## TCS42 - TCS44 -56.371 6.06 1541 -9.308 <.0001
## TCS42 - TCS45 -48.346 6.06 1541 -7.983 <.0001
## TCS42 - TCS46 -85.507 6.06 1541 -14.119 <.0001
## TCS42 - TCS47 -56.704 6.06 1541 -9.363 <.0001
## TCS42 - TCS48 -88.000 6.06 1541 -14.531 <.0001
## TCS42 - TCS49 -56.593 6.06 1541 -9.345 <.0001
## TCS43 - TCS44 -1.473 6.32 1541 -0.233 1.0000
## TCS43 - TCS45 6.552 6.32 1541 1.036 1.0000
## TCS43 - TCS46 -30.609 6.32 1541 -4.839 0.0003
## TCS43 - TCS47 -1.807 6.32 1541 -0.286 1.0000
## TCS43 - TCS48 -33.103 6.32 1541 -5.234 <.0001
## TCS43 - TCS49 -1.695 6.32 1541 -0.268 1.0000
## TCS44 - TCS45 8.025 6.04 1541 1.329 0.9989
## TCS44 - TCS46 -29.136 6.04 1541 -4.826 0.0003
## TCS44 - TCS47 -0.333 6.04 1541 -0.055 1.0000
## TCS44 - TCS48 -31.630 6.04 1541 -5.239 <.0001
## TCS44 - TCS49 -0.222 6.04 1541 -0.037 1.0000
## TCS45 - TCS46 -37.160 6.04 1541 -6.155 <.0001
## TCS45 - TCS47 -8.358 6.04 1541 -1.384 0.9982
## TCS45 - TCS48 -39.654 6.04 1541 -6.568 <.0001
## TCS45 - TCS49 -8.247 6.04 1541 -1.366 0.9985
## TCS46 - TCS47 28.802 6.04 1541 4.771 0.0004
## TCS46 - TCS48 -2.494 6.04 1541 -0.413 1.0000
## TCS46 - TCS49 28.914 6.04 1541 4.789 0.0003
## TCS47 - TCS48 -31.296 6.04 1541 -5.184 <.0001
## TCS47 - TCS49 0.111 6.04 1541 0.018 1.0000
## TCS48 - TCS49 31.407 6.04 1541 5.202 <.0001
##
## Results are averaged over the levels of: semana, bloque
## P value adjustment: tukey method for comparing a family of 20 estimates
cld_gen <-multcomp::cld(contrast, alpha = 0.05, Letters = LETTERS, reversed=T)
cld_gen
## gen emmean SE df lower.CL upper.CL .group
## TCS20 246 4.27 1541 238 255 A
## TCS48 220 4.27 1541 212 229 B
## TCS46 218 4.27 1541 209 226 BC
## TCS11 205 4.27 1541 196 213 BCD
## TCS10 196 4.27 1541 188 205 CDE
## TCS05 195 4.27 1541 187 203 DE
## TCS12 193 4.27 1541 184 201 DEF
## TCS03 191 4.30 1541 182 199 DEF
## TCS47 189 4.27 1541 181 197 DEF
## TCS49 189 4.27 1541 180 197 DEF
## TCS44 189 4.27 1541 180 197 DEF
## TCS43 187 4.67 1541 178 196 DEF
## TCS04 184 4.27 1541 175 192 DEF
## TCS45 181 4.27 1541 172 189 EFG
## TCS08 170 5.33 1541 160 181 FGH
## TCS02 162 4.27 1541 154 171 GH
## TCS40 161 4.35 1541 153 170 GHI
## TCS01 150 4.50 1541 142 159 HIJ
## TCS41 140 4.27 1541 131 148 IJ
## TCS42 132 4.30 1541 124 141 J
##
## Results are averaged over the levels of: semana, bloque
## Confidence level used: 0.95
## P value adjustment: tukey method for comparing a family of 20 estimates
## significance level used: alpha = 0.05
## NOTE: Compact letter displays can be misleading
## because they show NON-findings rather than findings.
## Consider using 'pairs()', 'pwpp()', or 'pwpm()' instead.
## Gráficas contrastes de medias diámetro del patrón
#Gen
contrast <- emmeans(aov.patrodia, ~gen)
plot(contrast, comparisons = TRUE, xlab ="Diámetro del patrón")
medias.gen <- emmeans(aov.patrodia, pairwise ~ gen)
medias.gen
## $emmeans
## gen emmean SE df lower.CL upper.CL
## TCS01 41.6 1.28 1537 39.1 44.1
## TCS02 45.8 1.24 1537 43.4 48.2
## TCS03 54.8 1.22 1537 52.4 57.2
## TCS04 44.7 1.21 1537 42.4 47.1
## TCS05 54.8 1.21 1537 52.4 57.2
## TCS08 40.1 1.51 1537 37.2 43.1
## TCS10 50.3 1.21 1537 48.0 52.7
## TCS11 56.8 1.21 1537 54.4 59.2
## TCS12 54.2 1.21 1537 51.8 56.6
## TCS20 58.4 1.21 1537 56.1 60.8
## TCS40 42.8 1.24 1537 40.4 45.3
## TCS41 41.3 1.21 1537 38.9 43.6
## TCS42 39.8 1.22 1537 37.4 42.2
## TCS43 49.8 1.33 1537 47.2 52.4
## TCS44 52.6 1.21 1537 50.2 55.0
## TCS45 44.7 1.21 1537 42.4 47.1
## TCS46 50.4 1.21 1537 48.0 52.8
## TCS47 47.6 1.21 1537 45.2 50.0
## TCS48 57.3 1.21 1537 54.9 59.7
## TCS49 51.5 1.21 1537 49.1 53.9
##
## Results are averaged over the levels of: semana, bloque
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## TCS01 - TCS02 -4.23322 1.78 1537 -2.374 0.6809
## TCS01 - TCS03 -13.26505 1.77 1537 -7.510 <.0001
## TCS01 - TCS04 -3.16283 1.76 1537 -1.796 0.9634
## TCS01 - TCS05 -13.23591 1.76 1537 -7.516 <.0001
## TCS01 - TCS08 1.44661 1.98 1537 0.730 1.0000
## TCS01 - TCS10 -8.76431 1.76 1537 -4.977 0.0001
## TCS01 - TCS11 -15.20603 1.76 1537 -8.635 <.0001
## TCS01 - TCS12 -12.63999 1.76 1537 -7.178 <.0001
## TCS01 - TCS20 -16.87554 1.76 1537 -9.583 <.0001
## TCS01 - TCS40 -1.27588 1.78 1537 -0.718 1.0000
## TCS01 - TCS41 0.31359 1.76 1537 0.178 1.0000
## TCS01 - TCS42 1.79151 1.77 1537 1.014 1.0000
## TCS01 - TCS43 -8.27095 1.84 1537 -4.498 0.0013
## TCS01 - TCS44 -11.01406 1.76 1537 -6.254 <.0001
## TCS01 - TCS45 -3.16665 1.76 1537 -1.798 0.9629
## TCS01 - TCS46 -8.83505 1.76 1537 -5.017 0.0001
## TCS01 - TCS47 -6.04863 1.76 1537 -3.435 0.0719
## TCS01 - TCS48 -15.71591 1.76 1537 -8.924 <.0001
## TCS01 - TCS49 -9.94739 1.76 1537 -5.649 <.0001
## TCS02 - TCS03 -9.03183 1.74 1537 -5.185 <.0001
## TCS02 - TCS04 1.07039 1.74 1537 0.616 1.0000
## TCS02 - TCS05 -9.00270 1.74 1537 -5.184 <.0001
## TCS02 - TCS08 5.67982 1.96 1537 2.898 0.2922
## TCS02 - TCS10 -4.53109 1.74 1537 -2.609 0.4982
## TCS02 - TCS11 -10.97282 1.74 1537 -6.319 <.0001
## TCS02 - TCS12 -8.40677 1.74 1537 -4.841 0.0003
## TCS02 - TCS20 -12.64233 1.74 1537 -7.280 <.0001
## TCS02 - TCS40 2.95733 1.75 1537 1.687 0.9808
## TCS02 - TCS41 4.54681 1.74 1537 2.618 0.4912
## TCS02 - TCS42 6.02472 1.74 1537 3.459 0.0668
## TCS02 - TCS43 -4.03774 1.82 1537 -2.221 0.7870
## TCS02 - TCS44 -6.78085 1.74 1537 -3.905 0.0145
## TCS02 - TCS45 1.06656 1.74 1537 0.614 1.0000
## TCS02 - TCS46 -4.60183 1.74 1537 -2.650 0.4667
## TCS02 - TCS47 -1.81541 1.74 1537 -1.045 1.0000
## TCS02 - TCS48 -11.48270 1.74 1537 -6.613 <.0001
## TCS02 - TCS49 -5.71418 1.74 1537 -3.291 0.1100
## TCS03 - TCS04 10.10223 1.72 1537 5.875 <.0001
## TCS03 - TCS05 0.02914 1.72 1537 0.017 1.0000
## TCS03 - TCS08 14.71166 1.94 1537 7.566 <.0001
## TCS03 - TCS10 4.50074 1.72 1537 2.617 0.4919
## TCS03 - TCS11 -1.94098 1.72 1537 -1.129 0.9999
## TCS03 - TCS12 0.62506 1.72 1537 0.364 1.0000
## TCS03 - TCS20 -3.61049 1.72 1537 -2.100 0.8570
## TCS03 - TCS40 11.98917 1.74 1537 6.906 <.0001
## TCS03 - TCS41 13.57864 1.72 1537 7.897 <.0001
## TCS03 - TCS42 15.05656 1.72 1537 8.729 <.0001
## TCS03 - TCS43 4.99410 1.80 1537 2.773 0.3756
## TCS03 - TCS44 2.25099 1.72 1537 1.309 0.9991
## TCS03 - TCS45 10.09840 1.72 1537 5.873 <.0001
## TCS03 - TCS46 4.43000 1.72 1537 2.576 0.5240
## TCS03 - TCS47 7.21642 1.72 1537 4.197 0.0046
## TCS03 - TCS48 -2.45086 1.72 1537 -1.425 0.9974
## TCS03 - TCS49 3.31766 1.72 1537 1.929 0.9284
## TCS04 - TCS05 -10.07309 1.71 1537 -5.876 <.0001
## TCS04 - TCS08 4.60943 1.94 1537 2.377 0.6791
## TCS04 - TCS10 -5.60148 1.71 1537 -3.268 0.1173
## TCS04 - TCS11 -12.04321 1.71 1537 -7.026 <.0001
## TCS04 - TCS12 -9.47716 1.71 1537 -5.529 <.0001
## TCS04 - TCS20 -13.71272 1.71 1537 -8.000 <.0001
## TCS04 - TCS40 1.88695 1.73 1537 1.090 0.9999
## TCS04 - TCS41 3.47642 1.71 1537 2.028 0.8909
## TCS04 - TCS42 4.95433 1.72 1537 2.881 0.3027
## TCS04 - TCS43 -5.10813 1.80 1537 -2.844 0.3265
## TCS04 - TCS44 -7.85123 1.71 1537 -4.580 0.0009
## TCS04 - TCS45 -0.00383 1.71 1537 -0.002 1.0000
## TCS04 - TCS46 -5.67222 1.71 1537 -3.309 0.1044
## TCS04 - TCS47 -2.88580 1.71 1537 -1.684 0.9812
## TCS04 - TCS48 -12.55309 1.71 1537 -7.323 <.0001
## TCS04 - TCS49 -6.78457 1.71 1537 -3.958 0.0118
## TCS05 - TCS08 14.68252 1.94 1537 7.570 <.0001
## TCS05 - TCS10 4.47161 1.71 1537 2.609 0.4988
## TCS05 - TCS11 -1.97012 1.71 1537 -1.149 0.9999
## TCS05 - TCS12 0.59593 1.71 1537 0.348 1.0000
## TCS05 - TCS20 -3.63963 1.71 1537 -2.123 0.8446
## TCS05 - TCS40 11.96003 1.73 1537 6.911 <.0001
## TCS05 - TCS41 13.54951 1.71 1537 7.904 <.0001
## TCS05 - TCS42 15.02742 1.72 1537 8.739 <.0001
## TCS05 - TCS43 4.96496 1.80 1537 2.765 0.3814
## TCS05 - TCS44 2.22185 1.71 1537 1.296 0.9993
## TCS05 - TCS45 10.06926 1.71 1537 5.874 <.0001
## TCS05 - TCS46 4.40086 1.71 1537 2.567 0.5311
## TCS05 - TCS47 7.18728 1.71 1537 4.193 0.0047
## TCS05 - TCS48 -2.48000 1.71 1537 -1.447 0.9968
## TCS05 - TCS49 3.28852 1.71 1537 1.918 0.9319
## TCS08 - TCS10 -10.21091 1.94 1537 -5.265 <.0001
## TCS08 - TCS11 -16.65264 1.94 1537 -8.586 <.0001
## TCS08 - TCS12 -14.08659 1.94 1537 -7.263 <.0001
## TCS08 - TCS20 -18.32215 1.94 1537 -9.447 <.0001
## TCS08 - TCS40 -2.72249 1.95 1537 -1.393 0.9980
## TCS08 - TCS41 -1.13301 1.94 1537 -0.584 1.0000
## TCS08 - TCS42 0.34490 1.94 1537 0.177 1.0000
## TCS08 - TCS43 -9.71756 2.01 1537 -4.832 0.0003
## TCS08 - TCS44 -12.46067 1.94 1537 -6.425 <.0001
## TCS08 - TCS45 -4.61326 1.94 1537 -2.379 0.6776
## TCS08 - TCS46 -10.28166 1.94 1537 -5.301 <.0001
## TCS08 - TCS47 -7.49524 1.94 1537 -3.864 0.0168
## TCS08 - TCS48 -17.16252 1.94 1537 -8.849 <.0001
## TCS08 - TCS49 -11.39400 1.94 1537 -5.875 <.0001
## TCS10 - TCS11 -6.44173 1.71 1537 -3.758 0.0247
## TCS10 - TCS12 -3.87568 1.71 1537 -2.261 0.7612
## TCS10 - TCS20 -8.11124 1.71 1537 -4.732 0.0004
## TCS10 - TCS40 7.48843 1.73 1537 4.327 0.0027
## TCS10 - TCS41 9.07790 1.71 1537 5.296 <.0001
## TCS10 - TCS42 10.55581 1.72 1537 6.139 <.0001
## TCS10 - TCS43 0.49335 1.80 1537 0.275 1.0000
## TCS10 - TCS44 -2.24975 1.71 1537 -1.312 0.9991
## TCS10 - TCS45 5.59765 1.71 1537 3.266 0.1180
## TCS10 - TCS46 -0.07074 1.71 1537 -0.041 1.0000
## TCS10 - TCS47 2.71568 1.71 1537 1.584 0.9905
## TCS10 - TCS48 -6.95160 1.71 1537 -4.055 0.0081
## TCS10 - TCS49 -1.18309 1.71 1537 -0.690 1.0000
## TCS11 - TCS12 2.56605 1.71 1537 1.497 0.9951
## TCS11 - TCS20 -1.66951 1.71 1537 -0.974 1.0000
## TCS11 - TCS40 13.93015 1.73 1537 8.049 <.0001
## TCS11 - TCS41 15.51963 1.71 1537 9.054 <.0001
## TCS11 - TCS42 16.99754 1.72 1537 9.885 <.0001
## TCS11 - TCS43 6.93508 1.80 1537 3.862 0.0170
## TCS11 - TCS44 4.19198 1.71 1537 2.446 0.6266
## TCS11 - TCS45 12.03938 1.71 1537 7.024 <.0001
## TCS11 - TCS46 6.37099 1.71 1537 3.717 0.0285
## TCS11 - TCS47 9.15741 1.71 1537 5.342 <.0001
## TCS11 - TCS48 -0.50988 1.71 1537 -0.297 1.0000
## TCS11 - TCS49 5.25864 1.71 1537 3.068 0.1981
## TCS12 - TCS20 -4.23556 1.71 1537 -2.471 0.6068
## TCS12 - TCS40 11.36411 1.73 1537 6.566 <.0001
## TCS12 - TCS41 12.95358 1.71 1537 7.557 <.0001
## TCS12 - TCS42 14.43149 1.72 1537 8.393 <.0001
## TCS12 - TCS43 4.36903 1.80 1537 2.433 0.6363
## TCS12 - TCS44 1.62593 1.71 1537 0.949 1.0000
## TCS12 - TCS45 9.47333 1.71 1537 5.527 <.0001
## TCS12 - TCS46 3.80494 1.71 1537 2.220 0.7881
## TCS12 - TCS47 6.59136 1.71 1537 3.845 0.0180
## TCS12 - TCS48 -3.07593 1.71 1537 -1.794 0.9637
## TCS12 - TCS49 2.69259 1.71 1537 1.571 0.9914
## TCS20 - TCS40 15.59966 1.73 1537 9.014 <.0001
## TCS20 - TCS41 17.18914 1.71 1537 10.028 <.0001
## TCS20 - TCS42 18.66705 1.72 1537 10.856 <.0001
## TCS20 - TCS43 8.60459 1.80 1537 4.792 0.0003
## TCS20 - TCS44 5.86148 1.71 1537 3.419 0.0754
## TCS20 - TCS45 13.70889 1.71 1537 7.997 <.0001
## TCS20 - TCS46 8.04049 1.71 1537 4.691 0.0005
## TCS20 - TCS47 10.82691 1.71 1537 6.316 <.0001
## TCS20 - TCS48 1.15963 1.71 1537 0.677 1.0000
## TCS20 - TCS49 6.92815 1.71 1537 4.042 0.0086
## TCS40 - TCS41 1.58947 1.73 1537 0.918 1.0000
## TCS40 - TCS42 3.06739 1.74 1537 1.767 0.9689
## TCS40 - TCS43 -6.99507 1.81 1537 -3.861 0.0170
## TCS40 - TCS44 -9.73818 1.73 1537 -5.627 <.0001
## TCS40 - TCS45 -1.89077 1.73 1537 -1.093 0.9999
## TCS40 - TCS46 -7.55917 1.73 1537 -4.368 0.0022
## TCS40 - TCS47 -4.77275 1.73 1537 -2.758 0.3864
## TCS40 - TCS48 -14.44003 1.73 1537 -8.344 <.0001
## TCS40 - TCS49 -8.67151 1.73 1537 -5.011 0.0001
## TCS41 - TCS42 1.47791 1.72 1537 0.859 1.0000
## TCS41 - TCS43 -8.58455 1.80 1537 -4.780 0.0003
## TCS41 - TCS44 -11.32765 1.71 1537 -6.608 <.0001
## TCS41 - TCS45 -3.48025 1.71 1537 -2.030 0.8899
## TCS41 - TCS46 -9.14864 1.71 1537 -5.337 <.0001
## TCS41 - TCS47 -6.36222 1.71 1537 -3.712 0.0291
## TCS41 - TCS48 -16.02951 1.71 1537 -9.351 <.0001
## TCS41 - TCS49 -10.26099 1.71 1537 -5.986 <.0001
## TCS42 - TCS43 -10.06246 1.80 1537 -5.587 <.0001
## TCS42 - TCS44 -12.80557 1.72 1537 -7.447 <.0001
## TCS42 - TCS45 -4.95816 1.72 1537 -2.883 0.3013
## TCS42 - TCS46 -10.62655 1.72 1537 -6.180 <.0001
## TCS42 - TCS47 -7.84014 1.72 1537 -4.560 0.0010
## TCS42 - TCS48 -17.50742 1.72 1537 -10.182 <.0001
## TCS42 - TCS49 -11.73890 1.72 1537 -6.827 <.0001
## TCS43 - TCS44 -2.74310 1.80 1537 -1.528 0.9938
## TCS43 - TCS45 5.10430 1.80 1537 2.842 0.3279
## TCS43 - TCS46 -0.56409 1.80 1537 -0.314 1.0000
## TCS43 - TCS47 2.22233 1.80 1537 1.238 0.9996
## TCS43 - TCS48 -7.44496 1.80 1537 -4.146 0.0056
## TCS43 - TCS49 -1.67644 1.80 1537 -0.934 1.0000
## TCS44 - TCS45 7.84741 1.71 1537 4.578 0.0009
## TCS44 - TCS46 2.17901 1.71 1537 1.271 0.9994
## TCS44 - TCS47 4.96543 1.71 1537 2.897 0.2929
## TCS44 - TCS48 -4.70185 1.71 1537 -2.743 0.3972
## TCS44 - TCS49 1.06667 1.71 1537 0.622 1.0000
## TCS45 - TCS46 -5.66840 1.71 1537 -3.307 0.1050
## TCS45 - TCS47 -2.88198 1.71 1537 -1.681 0.9815
## TCS45 - TCS48 -12.54926 1.71 1537 -7.321 <.0001
## TCS45 - TCS49 -6.78074 1.71 1537 -3.956 0.0119
## TCS46 - TCS47 2.78642 1.71 1537 1.626 0.9872
## TCS46 - TCS48 -6.88086 1.71 1537 -4.014 0.0095
## TCS46 - TCS49 -1.11235 1.71 1537 -0.649 1.0000
## TCS47 - TCS48 -9.66728 1.71 1537 -5.640 <.0001
## TCS47 - TCS49 -3.89877 1.71 1537 -2.274 0.7521
## TCS48 - TCS49 5.76852 1.71 1537 3.365 0.0886
##
## Results are averaged over the levels of: semana, bloque
## P value adjustment: tukey method for comparing a family of 20 estimates
cld_gen <-multcomp::cld(contrast, alpha = 0.05, Letters = LETTERS, reversed=T)
cld_gen
## gen emmean SE df lower.CL upper.CL .group
## TCS20 58.4 1.21 1537 56.1 60.8 A
## TCS48 57.3 1.21 1537 54.9 59.7 AB
## TCS11 56.8 1.21 1537 54.4 59.2 AB
## TCS03 54.8 1.22 1537 52.4 57.2 ABC
## TCS05 54.8 1.21 1537 52.4 57.2 ABC
## TCS12 54.2 1.21 1537 51.8 56.6 ABC
## TCS44 52.6 1.21 1537 50.2 55.0 ABCD
## TCS49 51.5 1.21 1537 49.1 53.9 BCDE
## TCS46 50.4 1.21 1537 48.0 52.8 CDEF
## TCS10 50.3 1.21 1537 48.0 52.7 CDEF
## TCS43 49.8 1.33 1537 47.2 52.4 CDEF
## TCS47 47.6 1.21 1537 45.2 50.0 DEFG
## TCS02 45.8 1.24 1537 43.4 48.2 EFGH
## TCS45 44.7 1.21 1537 42.4 47.1 FGH
## TCS04 44.7 1.21 1537 42.4 47.1 FGH
## TCS40 42.8 1.24 1537 40.4 45.3 GH
## TCS01 41.6 1.28 1537 39.1 44.1 GH
## TCS41 41.3 1.21 1537 38.9 43.6 H
## TCS08 40.1 1.51 1537 37.2 43.1 H
## TCS42 39.8 1.22 1537 37.4 42.2 H
##
## Results are averaged over the levels of: semana, bloque
## Confidence level used: 0.95
## P value adjustment: tukey method for comparing a family of 20 estimates
## significance level used: alpha = 0.05
## NOTE: Compact letter displays can be misleading
## because they show NON-findings rather than findings.
## Consider using 'pairs()', 'pwpp()', or 'pwpm()' instead.
## Gráficas contrastes de medias diámetro del injerto
#Gen
contrast <- emmeans(aov.injedia, ~gen)
plot(contrast, comparisons = TRUE, xlab ="Diámetro del injerto")
medias.gen <- emmeans(aov.injedia, pairwise ~ gen)
medias.gen
## $emmeans
## gen emmean SE df lower.CL upper.CL
## TCS01 28.8 1.014 1537 26.8 30.8
## TCS02 33.2 0.987 1537 31.3 35.2
## TCS03 38.3 0.968 1537 36.4 40.2
## TCS04 35.0 0.962 1537 33.1 36.9
## TCS05 39.1 0.962 1537 37.2 41.0
## TCS08 28.1 1.202 1537 25.8 30.5
## TCS10 36.2 0.962 1537 34.3 38.0
## TCS11 40.6 0.962 1537 38.7 42.5
## TCS12 36.2 0.962 1537 34.3 38.0
## TCS20 43.0 0.962 1537 41.1 44.9
## TCS40 28.2 0.981 1537 26.2 30.1
## TCS41 24.5 0.962 1537 22.6 26.4
## TCS42 24.7 0.968 1537 22.8 26.6
## TCS43 38.8 1.052 1537 36.7 40.8
## TCS44 37.3 0.962 1537 35.4 39.2
## TCS45 30.3 0.962 1537 28.4 32.2
## TCS46 37.5 0.962 1537 35.6 39.4
## TCS47 31.7 0.962 1537 29.8 33.6
## TCS48 38.9 0.962 1537 37.0 40.8
## TCS49 36.8 0.962 1537 35.0 38.7
##
## Results are averaged over the levels of: semana, bloque
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## TCS01 - TCS02 -4.44e+00 1.42 1537 -3.138 0.1661
## TCS01 - TCS03 -9.55e+00 1.40 1537 -6.810 <.0001
## TCS01 - TCS04 -6.19e+00 1.40 1537 -4.429 0.0017
## TCS01 - TCS05 -1.03e+01 1.40 1537 -7.387 <.0001
## TCS01 - TCS08 6.58e-01 1.57 1537 0.419 1.0000
## TCS01 - TCS10 -7.37e+00 1.40 1537 -5.272 <.0001
## TCS01 - TCS11 -1.18e+01 1.40 1537 -8.441 <.0001
## TCS01 - TCS12 -7.37e+00 1.40 1537 -5.272 <.0001
## TCS01 - TCS20 -1.42e+01 1.40 1537 -10.168 <.0001
## TCS01 - TCS40 6.29e-01 1.41 1537 0.446 1.0000
## TCS01 - TCS41 4.33e+00 1.40 1537 3.094 0.1856
## TCS01 - TCS42 4.06e+00 1.40 1537 2.894 0.2947
## TCS01 - TCS43 -9.97e+00 1.46 1537 -6.833 <.0001
## TCS01 - TCS44 -8.52e+00 1.40 1537 -6.096 <.0001
## TCS01 - TCS45 -1.54e+00 1.40 1537 -1.104 0.9999
## TCS01 - TCS46 -8.68e+00 1.40 1537 -6.208 <.0001
## TCS01 - TCS47 -2.93e+00 1.40 1537 -2.096 0.8587
## TCS01 - TCS48 -1.01e+01 1.40 1537 -7.213 <.0001
## TCS01 - TCS49 -8.05e+00 1.40 1537 -5.756 <.0001
## TCS02 - TCS03 -5.11e+00 1.38 1537 -3.694 0.0309
## TCS02 - TCS04 -1.75e+00 1.38 1537 -1.270 0.9994
## TCS02 - TCS05 -5.89e+00 1.38 1537 -4.269 0.0034
## TCS02 - TCS08 5.10e+00 1.56 1537 3.278 0.1140
## TCS02 - TCS10 -2.93e+00 1.38 1537 -2.124 0.8443
## TCS02 - TCS11 -7.36e+00 1.38 1537 -5.338 <.0001
## TCS02 - TCS12 -2.93e+00 1.38 1537 -2.124 0.8440
## TCS02 - TCS20 -9.77e+00 1.38 1537 -7.090 <.0001
## TCS02 - TCS40 5.07e+00 1.39 1537 3.644 0.0366
## TCS02 - TCS41 8.77e+00 1.38 1537 6.360 <.0001
## TCS02 - TCS42 8.50e+00 1.38 1537 6.147 <.0001
## TCS02 - TCS43 -5.53e+00 1.44 1537 -3.834 0.0188
## TCS02 - TCS44 -4.08e+00 1.38 1537 -2.960 0.2549
## TCS02 - TCS45 2.90e+00 1.38 1537 2.103 0.8554
## TCS02 - TCS46 -4.24e+00 1.38 1537 -3.073 0.1955
## TCS02 - TCS47 1.51e+00 1.38 1537 1.096 0.9999
## TCS02 - TCS48 -5.64e+00 1.38 1537 -4.093 0.0070
## TCS02 - TCS49 -3.60e+00 1.38 1537 -2.615 0.4937
## TCS03 - TCS04 3.36e+00 1.37 1537 2.459 0.6158
## TCS03 - TCS05 -7.78e-01 1.37 1537 -0.570 1.0000
## TCS03 - TCS08 1.02e+01 1.54 1537 6.613 <.0001
## TCS03 - TCS10 2.18e+00 1.37 1537 1.597 0.9896
## TCS03 - TCS11 -2.25e+00 1.37 1537 -1.649 0.9850
## TCS03 - TCS12 2.18e+00 1.37 1537 1.596 0.9896
## TCS03 - TCS20 -4.67e+00 1.37 1537 -3.418 0.0756
## TCS03 - TCS40 1.02e+01 1.38 1537 7.386 <.0001
## TCS03 - TCS41 1.39e+01 1.37 1537 10.165 <.0001
## TCS03 - TCS42 1.36e+01 1.37 1537 9.938 <.0001
## TCS03 - TCS43 -4.25e-01 1.43 1537 -0.297 1.0000
## TCS03 - TCS44 1.03e+00 1.37 1537 0.752 1.0000
## TCS03 - TCS45 8.01e+00 1.37 1537 5.865 <.0001
## TCS03 - TCS46 8.71e-01 1.37 1537 0.638 1.0000
## TCS03 - TCS47 6.62e+00 1.37 1537 4.849 0.0002
## TCS03 - TCS48 -5.35e-01 1.37 1537 -0.392 1.0000
## TCS03 - TCS49 1.50e+00 1.37 1537 1.101 0.9999
## TCS04 - TCS05 -4.14e+00 1.36 1537 -3.039 0.2124
## TCS04 - TCS08 6.85e+00 1.54 1537 4.449 0.0016
## TCS04 - TCS10 -1.18e+00 1.36 1537 -0.865 1.0000
## TCS04 - TCS11 -5.61e+00 1.36 1537 -4.121 0.0062
## TCS04 - TCS12 -1.18e+00 1.36 1537 -0.866 1.0000
## TCS04 - TCS20 -8.02e+00 1.36 1537 -5.896 <.0001
## TCS04 - TCS40 6.82e+00 1.37 1537 4.965 0.0001
## TCS04 - TCS41 1.05e+01 1.36 1537 7.729 <.0001
## TCS04 - TCS42 1.02e+01 1.37 1537 7.509 <.0001
## TCS04 - TCS43 -3.78e+00 1.43 1537 -2.653 0.4645
## TCS04 - TCS44 -2.33e+00 1.36 1537 -1.713 0.9774
## TCS04 - TCS45 4.65e+00 1.36 1537 3.416 0.0761
## TCS04 - TCS46 -2.49e+00 1.36 1537 -1.827 0.9567
## TCS04 - TCS47 3.26e+00 1.36 1537 2.397 0.6639
## TCS04 - TCS48 -3.89e+00 1.36 1537 -2.860 0.3162
## TCS04 - TCS49 -1.85e+00 1.36 1537 -1.363 0.9985
## TCS05 - TCS08 1.10e+01 1.54 1537 7.135 <.0001
## TCS05 - TCS10 2.96e+00 1.36 1537 2.174 0.8162
## TCS05 - TCS11 -1.47e+00 1.36 1537 -1.082 0.9999
## TCS05 - TCS12 2.96e+00 1.36 1537 2.173 0.8166
## TCS05 - TCS20 -3.89e+00 1.36 1537 -2.857 0.3182
## TCS05 - TCS40 1.10e+01 1.37 1537 7.975 <.0001
## TCS05 - TCS41 1.47e+01 1.36 1537 10.768 <.0001
## TCS05 - TCS42 1.44e+01 1.37 1537 10.538 <.0001
## TCS05 - TCS43 3.53e-01 1.43 1537 0.248 1.0000
## TCS05 - TCS44 1.80e+00 1.36 1537 1.326 0.9990
## TCS05 - TCS45 8.78e+00 1.36 1537 6.455 <.0001
## TCS05 - TCS46 1.65e+00 1.36 1537 1.212 0.9997
## TCS05 - TCS47 7.40e+00 1.36 1537 5.436 <.0001
## TCS05 - TCS48 2.43e-01 1.36 1537 0.179 1.0000
## TCS05 - TCS49 2.28e+00 1.36 1537 1.676 0.9821
## TCS08 - TCS10 -8.03e+00 1.54 1537 -5.214 <.0001
## TCS08 - TCS11 -1.25e+01 1.54 1537 -8.091 <.0001
## TCS08 - TCS12 -8.03e+00 1.54 1537 -5.214 <.0001
## TCS08 - TCS20 -1.49e+01 1.54 1537 -9.660 <.0001
## TCS08 - TCS40 -2.93e-02 1.55 1537 -0.019 1.0000
## TCS08 - TCS41 3.67e+00 1.54 1537 2.382 0.6751
## TCS08 - TCS42 3.40e+00 1.54 1537 2.203 0.7987
## TCS08 - TCS43 -1.06e+01 1.60 1537 -6.660 <.0001
## TCS08 - TCS44 -9.18e+00 1.54 1537 -5.963 <.0001
## TCS08 - TCS45 -2.20e+00 1.54 1537 -1.430 0.9973
## TCS08 - TCS46 -9.34e+00 1.54 1537 -6.064 <.0001
## TCS08 - TCS47 -3.59e+00 1.54 1537 -2.331 0.7125
## TCS08 - TCS48 -1.07e+01 1.54 1537 -6.977 <.0001
## TCS08 - TCS49 -8.70e+00 1.54 1537 -5.654 <.0001
## TCS10 - TCS11 -4.43e+00 1.36 1537 -3.256 0.1212
## TCS10 - TCS12 -7.41e-04 1.36 1537 -0.001 1.0000
## TCS10 - TCS20 -6.85e+00 1.36 1537 -5.031 0.0001
## TCS10 - TCS40 8.00e+00 1.37 1537 5.822 <.0001
## TCS10 - TCS41 1.17e+01 1.36 1537 8.595 <.0001
## TCS10 - TCS42 1.14e+01 1.37 1537 8.372 <.0001
## TCS10 - TCS43 -2.60e+00 1.43 1537 -1.827 0.9567
## TCS10 - TCS44 -1.15e+00 1.36 1537 -0.847 1.0000
## TCS10 - TCS45 5.83e+00 1.36 1537 4.282 0.0032
## TCS10 - TCS46 -1.31e+00 1.36 1537 -0.962 1.0000
## TCS10 - TCS47 4.44e+00 1.36 1537 3.262 0.1192
## TCS10 - TCS48 -2.71e+00 1.36 1537 -1.995 0.9047
## TCS10 - TCS49 -6.77e-01 1.36 1537 -0.498 1.0000
## TCS11 - TCS12 4.43e+00 1.36 1537 3.255 0.1214
## TCS11 - TCS20 -2.42e+00 1.36 1537 -1.775 0.9674
## TCS11 - TCS40 1.24e+01 1.37 1537 9.047 <.0001
## TCS11 - TCS41 1.61e+01 1.36 1537 11.850 <.0001
## TCS11 - TCS42 1.59e+01 1.37 1537 11.617 <.0001
## TCS11 - TCS43 1.83e+00 1.43 1537 1.281 0.9994
## TCS11 - TCS44 3.28e+00 1.36 1537 2.408 0.6550
## TCS11 - TCS45 1.03e+01 1.36 1537 7.538 <.0001
## TCS11 - TCS46 3.12e+00 1.36 1537 2.294 0.7386
## TCS11 - TCS47 8.87e+00 1.36 1537 6.518 <.0001
## TCS11 - TCS48 1.72e+00 1.36 1537 1.261 0.9995
## TCS11 - TCS49 3.75e+00 1.36 1537 2.758 0.3862
## TCS12 - TCS20 -6.84e+00 1.36 1537 -5.030 0.0001
## TCS12 - TCS40 8.00e+00 1.37 1537 5.822 <.0001
## TCS12 - TCS41 1.17e+01 1.36 1537 8.595 <.0001
## TCS12 - TCS42 1.14e+01 1.37 1537 8.372 <.0001
## TCS12 - TCS43 -2.60e+00 1.43 1537 -1.826 0.9568
## TCS12 - TCS44 -1.15e+00 1.36 1537 -0.847 1.0000
## TCS12 - TCS45 5.83e+00 1.36 1537 4.282 0.0032
## TCS12 - TCS46 -1.31e+00 1.36 1537 -0.961 1.0000
## TCS12 - TCS47 4.44e+00 1.36 1537 3.263 0.1190
## TCS12 - TCS48 -2.71e+00 1.36 1537 -1.994 0.9049
## TCS12 - TCS49 -6.77e-01 1.36 1537 -0.497 1.0000
## TCS20 - TCS40 1.48e+01 1.37 1537 10.805 <.0001
## TCS20 - TCS41 1.85e+01 1.36 1537 13.625 <.0001
## TCS20 - TCS42 1.83e+01 1.37 1537 13.387 <.0001
## TCS20 - TCS43 4.24e+00 1.43 1537 2.975 0.2465
## TCS20 - TCS44 5.69e+00 1.36 1537 4.183 0.0048
## TCS20 - TCS45 1.27e+01 1.36 1537 9.312 <.0001
## TCS20 - TCS46 5.54e+00 1.36 1537 4.069 0.0077
## TCS20 - TCS47 1.13e+01 1.36 1537 8.293 <.0001
## TCS20 - TCS48 4.13e+00 1.36 1537 3.036 0.2139
## TCS20 - TCS49 6.17e+00 1.36 1537 4.533 0.0011
## TCS40 - TCS41 3.70e+00 1.37 1537 2.691 0.4358
## TCS40 - TCS42 3.43e+00 1.38 1537 2.488 0.5933
## TCS40 - TCS43 -1.06e+01 1.44 1537 -7.373 <.0001
## TCS40 - TCS44 -9.15e+00 1.37 1537 -6.661 <.0001
## TCS40 - TCS45 -2.17e+00 1.37 1537 -1.581 0.9907
## TCS40 - TCS46 -9.31e+00 1.37 1537 -6.775 <.0001
## TCS40 - TCS47 -3.56e+00 1.37 1537 -2.591 0.5125
## TCS40 - TCS48 -1.07e+01 1.37 1537 -7.798 <.0001
## TCS40 - TCS49 -8.68e+00 1.37 1537 -6.315 <.0001
## TCS41 - TCS42 -2.68e-01 1.37 1537 -0.196 1.0000
## TCS41 - TCS43 -1.43e+01 1.43 1537 -10.031 <.0001
## TCS41 - TCS44 -1.28e+01 1.36 1537 -9.442 <.0001
## TCS41 - TCS45 -5.87e+00 1.36 1537 -4.313 0.0028
## TCS41 - TCS46 -1.30e+01 1.36 1537 -9.556 <.0001
## TCS41 - TCS47 -7.26e+00 1.36 1537 -5.333 <.0001
## TCS41 - TCS48 -1.44e+01 1.36 1537 -10.589 <.0001
## TCS41 - TCS49 -1.24e+01 1.36 1537 -9.092 <.0001
## TCS42 - TCS43 -1.40e+01 1.43 1537 -9.814 <.0001
## TCS42 - TCS44 -1.26e+01 1.37 1537 -9.216 <.0001
## TCS42 - TCS45 -5.60e+00 1.37 1537 -4.103 0.0067
## TCS42 - TCS46 -1.27e+01 1.37 1537 -9.330 <.0001
## TCS42 - TCS47 -6.99e+00 1.37 1537 -5.120 0.0001
## TCS42 - TCS48 -1.41e+01 1.37 1537 -10.360 <.0001
## TCS42 - TCS49 -1.21e+01 1.37 1537 -8.868 <.0001
## TCS43 - TCS44 1.45e+00 1.43 1537 1.018 1.0000
## TCS43 - TCS45 8.43e+00 1.43 1537 5.914 <.0001
## TCS43 - TCS46 1.30e+00 1.43 1537 0.909 1.0000
## TCS43 - TCS47 7.04e+00 1.43 1537 4.941 0.0002
## TCS43 - TCS48 -1.10e-01 1.43 1537 -0.077 1.0000
## TCS43 - TCS49 1.93e+00 1.43 1537 1.352 0.9987
## TCS44 - TCS45 6.98e+00 1.36 1537 5.129 0.0001
## TCS44 - TCS46 -1.56e-01 1.36 1537 -0.114 1.0000
## TCS44 - TCS47 5.59e+00 1.36 1537 4.109 0.0065
## TCS44 - TCS48 -1.56e+00 1.36 1537 -1.147 0.9999
## TCS44 - TCS49 4.76e-01 1.36 1537 0.350 1.0000
## TCS45 - TCS46 -7.14e+00 1.36 1537 -5.243 <.0001
## TCS45 - TCS47 -1.39e+00 1.36 1537 -1.020 1.0000
## TCS45 - TCS48 -8.54e+00 1.36 1537 -6.277 <.0001
## TCS45 - TCS49 -6.50e+00 1.36 1537 -4.779 0.0003
## TCS46 - TCS47 5.75e+00 1.36 1537 4.224 0.0041
## TCS46 - TCS48 -1.41e+00 1.36 1537 -1.033 1.0000
## TCS46 - TCS49 6.31e-01 1.36 1537 0.464 1.0000
## TCS47 - TCS48 -7.15e+00 1.36 1537 -5.257 <.0001
## TCS47 - TCS49 -5.12e+00 1.36 1537 -3.760 0.0245
## TCS48 - TCS49 2.04e+00 1.36 1537 1.497 0.9951
##
## Results are averaged over the levels of: semana, bloque
## P value adjustment: tukey method for comparing a family of 20 estimates
cld_gen <-multcomp::cld(contrast, alpha = 0.05, Letters = LETTERS, reversed=T)
cld_gen
## gen emmean SE df lower.CL upper.CL .group
## TCS20 43.0 0.962 1537 41.1 44.9 A
## TCS11 40.6 0.962 1537 38.7 42.5 AB
## TCS05 39.1 0.962 1537 37.2 41.0 ABC
## TCS48 38.9 0.962 1537 37.0 40.8 ABC
## TCS43 38.8 1.052 1537 36.7 40.8 ABC
## TCS03 38.3 0.968 1537 36.4 40.2 ABC
## TCS46 37.5 0.962 1537 35.6 39.4 BCD
## TCS44 37.3 0.962 1537 35.4 39.2 BCD
## TCS49 36.8 0.962 1537 35.0 38.7 BCD
## TCS12 36.2 0.962 1537 34.3 38.0 BCDE
## TCS10 36.2 0.962 1537 34.3 38.0 BCDE
## TCS04 35.0 0.962 1537 33.1 36.9 CDEF
## TCS02 33.2 0.987 1537 31.3 35.2 DEFG
## TCS47 31.7 0.962 1537 29.8 33.6 EFGH
## TCS45 30.3 0.962 1537 28.4 32.2 FGH
## TCS01 28.8 1.014 1537 26.8 30.8 GHI
## TCS40 28.2 0.981 1537 26.2 30.1 HI
## TCS08 28.1 1.202 1537 25.8 30.5 GHI
## TCS42 24.7 0.968 1537 22.8 26.6 I
## TCS41 24.5 0.962 1537 22.6 26.4 I
##
## Results are averaged over the levels of: semana, bloque
## Confidence level used: 0.95
## P value adjustment: tukey method for comparing a family of 20 estimates
## significance level used: alpha = 0.05
## NOTE: Compact letter displays can be misleading
## because they show NON-findings rather than findings.
## Consider using 'pairs()', 'pwpp()', or 'pwpm()' instead.
## Gráficas contrastes de medias área de la copa
#Gen
contrast <- emmeans(aov.coparea, ~gen)
plot(contrast, comparisons = TRUE, xlab ="Área de la copa")
medias.gen <- emmeans(aov.coparea, pairwise ~ gen)
medias.gen
## $emmeans
## gen emmean SE df lower.CL upper.CL
## TCS01 1.121 0.0398 1541 1.043 1.199
## TCS02 1.010 0.0377 1541 0.936 1.084
## TCS03 1.394 0.0380 1541 1.319 1.468
## TCS04 1.140 0.0377 1541 1.066 1.215
## TCS05 1.427 0.0377 1541 1.353 1.501
## TCS08 0.894 0.0471 1541 0.801 0.986
## TCS10 1.341 0.0377 1541 1.267 1.415
## TCS11 1.431 0.0377 1541 1.357 1.505
## TCS12 1.448 0.0377 1541 1.374 1.522
## TCS20 1.532 0.0377 1541 1.458 1.606
## TCS40 0.928 0.0385 1541 0.853 1.003
## TCS41 0.884 0.0377 1541 0.810 0.958
## TCS42 0.874 0.0380 1541 0.800 0.949
## TCS43 1.168 0.0413 1541 1.087 1.249
## TCS44 1.505 0.0377 1541 1.431 1.579
## TCS45 1.365 0.0377 1541 1.291 1.439
## TCS46 1.494 0.0377 1541 1.420 1.568
## TCS47 1.337 0.0377 1541 1.263 1.411
## TCS48 1.460 0.0377 1541 1.386 1.534
## TCS49 1.304 0.0377 1541 1.230 1.378
##
## Results are averaged over the levels of: semana, bloque
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## TCS01 - TCS02 0.11101 0.0548 1541 2.024 0.8925
## TCS01 - TCS03 -0.27294 0.0550 1541 -4.963 0.0001
## TCS01 - TCS04 -0.01974 0.0548 1541 -0.360 1.0000
## TCS01 - TCS05 -0.30665 0.0548 1541 -5.592 <.0001
## TCS01 - TCS08 0.22683 0.0617 1541 3.678 0.0326
## TCS01 - TCS10 -0.21998 0.0548 1541 -4.012 0.0096
## TCS01 - TCS11 -0.30986 0.0548 1541 -5.651 <.0001
## TCS01 - TCS12 -0.32751 0.0548 1541 -5.973 <.0001
## TCS01 - TCS20 -0.41159 0.0548 1541 -7.506 <.0001
## TCS01 - TCS40 0.19278 0.0553 1541 3.484 0.0617
## TCS01 - TCS41 0.23631 0.0548 1541 4.310 0.0029
## TCS01 - TCS42 0.24630 0.0550 1541 4.478 0.0014
## TCS01 - TCS43 -0.04682 0.0573 1541 -0.818 1.0000
## TCS01 - TCS44 -0.38430 0.0548 1541 -7.008 <.0001
## TCS01 - TCS45 -0.24455 0.0548 1541 -4.460 0.0015
## TCS01 - TCS46 -0.37307 0.0548 1541 -6.803 <.0001
## TCS01 - TCS47 -0.21665 0.0548 1541 -3.951 0.0122
## TCS01 - TCS48 -0.33961 0.0548 1541 -6.193 <.0001
## TCS01 - TCS49 -0.18344 0.0548 1541 -3.345 0.0940
## TCS02 - TCS03 -0.38394 0.0535 1541 -7.171 <.0001
## TCS02 - TCS04 -0.13074 0.0534 1541 -2.449 0.6235
## TCS02 - TCS05 -0.41765 0.0534 1541 -7.825 <.0001
## TCS02 - TCS08 0.11582 0.0604 1541 1.918 0.9321
## TCS02 - TCS10 -0.33099 0.0534 1541 -6.201 <.0001
## TCS02 - TCS11 -0.42086 0.0534 1541 -7.885 <.0001
## TCS02 - TCS12 -0.43852 0.0534 1541 -8.216 <.0001
## TCS02 - TCS20 -0.52259 0.0534 1541 -9.791 <.0001
## TCS02 - TCS40 0.08178 0.0539 1541 1.518 0.9943
## TCS02 - TCS41 0.12531 0.0534 1541 2.348 0.7004
## TCS02 - TCS42 0.13529 0.0535 1541 2.527 0.5629
## TCS02 - TCS43 -0.15783 0.0559 1541 -2.823 0.3412
## TCS02 - TCS44 -0.49531 0.0534 1541 -9.280 <.0001
## TCS02 - TCS45 -0.35556 0.0534 1541 -6.661 <.0001
## TCS02 - TCS46 -0.48407 0.0534 1541 -9.069 <.0001
## TCS02 - TCS47 -0.32765 0.0534 1541 -6.139 <.0001
## TCS02 - TCS48 -0.45062 0.0534 1541 -8.442 <.0001
## TCS02 - TCS49 -0.29444 0.0534 1541 -5.517 <.0001
## TCS03 - TCS04 0.25320 0.0535 1541 4.729 0.0004
## TCS03 - TCS05 -0.03371 0.0535 1541 -0.630 1.0000
## TCS03 - TCS08 0.49977 0.0605 1541 8.254 <.0001
## TCS03 - TCS10 0.05295 0.0535 1541 0.989 1.0000
## TCS03 - TCS11 -0.03692 0.0535 1541 -0.690 1.0000
## TCS03 - TCS12 -0.05458 0.0535 1541 -1.019 1.0000
## TCS03 - TCS20 -0.13865 0.0535 1541 -2.590 0.5137
## TCS03 - TCS40 0.46572 0.0541 1541 8.616 <.0001
## TCS03 - TCS41 0.50925 0.0535 1541 9.511 <.0001
## TCS03 - TCS42 0.51923 0.0537 1541 9.668 <.0001
## TCS03 - TCS43 0.22611 0.0561 1541 4.032 0.0089
## TCS03 - TCS44 -0.11137 0.0535 1541 -2.080 0.8669
## TCS03 - TCS45 0.02839 0.0535 1541 0.530 1.0000
## TCS03 - TCS46 -0.10013 0.0535 1541 -1.870 0.9460
## TCS03 - TCS47 0.05629 0.0535 1541 1.051 1.0000
## TCS03 - TCS48 -0.06667 0.0535 1541 -1.245 0.9996
## TCS03 - TCS49 0.08950 0.0535 1541 1.672 0.9826
## TCS04 - TCS05 -0.28691 0.0534 1541 -5.375 <.0001
## TCS04 - TCS08 0.24656 0.0604 1541 4.083 0.0073
## TCS04 - TCS10 -0.20025 0.0534 1541 -3.752 0.0252
## TCS04 - TCS11 -0.29012 0.0534 1541 -5.436 <.0001
## TCS04 - TCS12 -0.30778 0.0534 1541 -5.766 <.0001
## TCS04 - TCS20 -0.39185 0.0534 1541 -7.341 <.0001
## TCS04 - TCS40 0.21252 0.0539 1541 3.944 0.0125
## TCS04 - TCS41 0.25605 0.0534 1541 4.797 0.0003
## TCS04 - TCS42 0.26603 0.0535 1541 4.969 0.0001
## TCS04 - TCS43 -0.02709 0.0559 1541 -0.484 1.0000
## TCS04 - TCS44 -0.36457 0.0534 1541 -6.830 <.0001
## TCS04 - TCS45 -0.22481 0.0534 1541 -4.212 0.0043
## TCS04 - TCS46 -0.35333 0.0534 1541 -6.620 <.0001
## TCS04 - TCS47 -0.19691 0.0534 1541 -3.689 0.0314
## TCS04 - TCS48 -0.31988 0.0534 1541 -5.993 <.0001
## TCS04 - TCS49 -0.16370 0.0534 1541 -3.067 0.1984
## TCS05 - TCS08 0.53348 0.0604 1541 8.833 <.0001
## TCS05 - TCS10 0.08667 0.0534 1541 1.624 0.9874
## TCS05 - TCS11 -0.00321 0.0534 1541 -0.060 1.0000
## TCS05 - TCS12 -0.02086 0.0534 1541 -0.391 1.0000
## TCS05 - TCS20 -0.10494 0.0534 1541 -1.966 0.9157
## TCS05 - TCS40 0.49943 0.0539 1541 9.268 <.0001
## TCS05 - TCS41 0.54296 0.0534 1541 10.173 <.0001
## TCS05 - TCS42 0.55295 0.0535 1541 10.327 <.0001
## TCS05 - TCS43 0.25983 0.0559 1541 4.647 0.0006
## TCS05 - TCS44 -0.07765 0.0534 1541 -1.455 0.9966
## TCS05 - TCS45 0.06210 0.0534 1541 1.163 0.9998
## TCS05 - TCS46 -0.06642 0.0534 1541 -1.244 0.9996
## TCS05 - TCS47 0.09000 0.0534 1541 1.686 0.9809
## TCS05 - TCS48 -0.03296 0.0534 1541 -0.618 1.0000
## TCS05 - TCS49 0.12321 0.0534 1541 2.308 0.7286
## TCS08 - TCS10 -0.44681 0.0604 1541 -7.398 <.0001
## TCS08 - TCS11 -0.53669 0.0604 1541 -8.887 <.0001
## TCS08 - TCS12 -0.55434 0.0604 1541 -9.179 <.0001
## TCS08 - TCS20 -0.63842 0.0604 1541 -10.571 <.0001
## TCS08 - TCS40 -0.03405 0.0608 1541 -0.560 1.0000
## TCS08 - TCS41 0.00949 0.0604 1541 0.157 1.0000
## TCS08 - TCS42 0.01947 0.0605 1541 0.322 1.0000
## TCS08 - TCS43 -0.27365 0.0626 1541 -4.370 0.0022
## TCS08 - TCS44 -0.61113 0.0604 1541 -10.119 <.0001
## TCS08 - TCS45 -0.47138 0.0604 1541 -7.805 <.0001
## TCS08 - TCS46 -0.59990 0.0604 1541 -9.933 <.0001
## TCS08 - TCS47 -0.44348 0.0604 1541 -7.343 <.0001
## TCS08 - TCS48 -0.56644 0.0604 1541 -9.379 <.0001
## TCS08 - TCS49 -0.41027 0.0604 1541 -6.793 <.0001
## TCS10 - TCS11 -0.08988 0.0534 1541 -1.684 0.9812
## TCS10 - TCS12 -0.10753 0.0534 1541 -2.015 0.8966
## TCS10 - TCS20 -0.19160 0.0534 1541 -3.590 0.0439
## TCS10 - TCS40 0.41276 0.0539 1541 7.660 <.0001
## TCS10 - TCS41 0.45630 0.0534 1541 8.549 <.0001
## TCS10 - TCS42 0.46628 0.0535 1541 8.709 <.0001
## TCS10 - TCS43 0.17316 0.0559 1541 3.097 0.1844
## TCS10 - TCS44 -0.16432 0.0534 1541 -3.079 0.1929
## TCS10 - TCS45 -0.02457 0.0534 1541 -0.460 1.0000
## TCS10 - TCS46 -0.15309 0.0534 1541 -2.868 0.3111
## TCS10 - TCS47 0.00333 0.0534 1541 0.062 1.0000
## TCS10 - TCS48 -0.11963 0.0534 1541 -2.241 0.7742
## TCS10 - TCS49 0.03654 0.0534 1541 0.685 1.0000
## TCS11 - TCS12 -0.01765 0.0534 1541 -0.331 1.0000
## TCS11 - TCS20 -0.10173 0.0534 1541 -1.906 0.9358
## TCS11 - TCS40 0.50264 0.0539 1541 9.327 <.0001
## TCS11 - TCS41 0.54617 0.0534 1541 10.233 <.0001
## TCS11 - TCS42 0.55616 0.0535 1541 10.387 <.0001
## TCS11 - TCS43 0.26304 0.0559 1541 4.704 0.0005
## TCS11 - TCS44 -0.07444 0.0534 1541 -1.395 0.9980
## TCS11 - TCS45 0.06531 0.0534 1541 1.224 0.9997
## TCS11 - TCS46 -0.06321 0.0534 1541 -1.184 0.9998
## TCS11 - TCS47 0.09321 0.0534 1541 1.746 0.9724
## TCS11 - TCS48 -0.02975 0.0534 1541 -0.557 1.0000
## TCS11 - TCS49 0.12642 0.0534 1541 2.369 0.6850
## TCS12 - TCS20 -0.08407 0.0534 1541 -1.575 0.9911
## TCS12 - TCS40 0.52030 0.0539 1541 9.655 <.0001
## TCS12 - TCS41 0.56383 0.0534 1541 10.564 <.0001
## TCS12 - TCS42 0.57381 0.0535 1541 10.717 <.0001
## TCS12 - TCS43 0.28069 0.0559 1541 5.020 0.0001
## TCS12 - TCS44 -0.05679 0.0534 1541 -1.064 1.0000
## TCS12 - TCS45 0.08296 0.0534 1541 1.554 0.9924
## TCS12 - TCS46 -0.04556 0.0534 1541 -0.854 1.0000
## TCS12 - TCS47 0.11086 0.0534 1541 2.077 0.8683
## TCS12 - TCS48 -0.01210 0.0534 1541 -0.227 1.0000
## TCS12 - TCS49 0.14407 0.0534 1541 2.699 0.4294
## TCS20 - TCS40 0.60437 0.0539 1541 11.215 <.0001
## TCS20 - TCS41 0.64790 0.0534 1541 12.139 <.0001
## TCS20 - TCS42 0.65788 0.0535 1541 12.287 <.0001
## TCS20 - TCS43 0.36476 0.0559 1541 6.523 <.0001
## TCS20 - TCS44 0.02728 0.0534 1541 0.511 1.0000
## TCS20 - TCS45 0.16704 0.0534 1541 3.130 0.1698
## TCS20 - TCS46 0.03852 0.0534 1541 0.722 1.0000
## TCS20 - TCS47 0.19494 0.0534 1541 3.652 0.0356
## TCS20 - TCS48 0.07198 0.0534 1541 1.348 0.9987
## TCS20 - TCS49 0.22815 0.0534 1541 4.274 0.0033
## TCS40 - TCS41 0.04353 0.0539 1541 0.808 1.0000
## TCS40 - TCS42 0.05352 0.0541 1541 0.990 1.0000
## TCS40 - TCS43 -0.23961 0.0564 1541 -4.248 0.0037
## TCS40 - TCS44 -0.57709 0.0539 1541 -10.709 <.0001
## TCS40 - TCS45 -0.43733 0.0539 1541 -8.116 <.0001
## TCS40 - TCS46 -0.56585 0.0539 1541 -10.500 <.0001
## TCS40 - TCS47 -0.40943 0.0539 1541 -7.598 <.0001
## TCS40 - TCS48 -0.53239 0.0539 1541 -9.880 <.0001
## TCS40 - TCS49 -0.37622 0.0539 1541 -6.981 <.0001
## TCS41 - TCS42 0.00998 0.0535 1541 0.186 1.0000
## TCS41 - TCS43 -0.28314 0.0559 1541 -5.064 0.0001
## TCS41 - TCS44 -0.62062 0.0534 1541 -11.628 <.0001
## TCS41 - TCS45 -0.48086 0.0534 1541 -9.009 <.0001
## TCS41 - TCS46 -0.60938 0.0534 1541 -11.417 <.0001
## TCS41 - TCS47 -0.45296 0.0534 1541 -8.486 <.0001
## TCS41 - TCS48 -0.57593 0.0534 1541 -10.790 <.0001
## TCS41 - TCS49 -0.41975 0.0534 1541 -7.864 <.0001
## TCS42 - TCS43 -0.29312 0.0561 1541 -5.227 <.0001
## TCS42 - TCS44 -0.63060 0.0535 1541 -11.778 <.0001
## TCS42 - TCS45 -0.49085 0.0535 1541 -9.168 <.0001
## TCS42 - TCS46 -0.61937 0.0535 1541 -11.568 <.0001
## TCS42 - TCS47 -0.46295 0.0535 1541 -8.646 <.0001
## TCS42 - TCS48 -0.58591 0.0535 1541 -10.943 <.0001
## TCS42 - TCS49 -0.42974 0.0535 1541 -8.026 <.0001
## TCS43 - TCS44 -0.33748 0.0559 1541 -6.035 <.0001
## TCS43 - TCS45 -0.19773 0.0559 1541 -3.536 0.0523
## TCS43 - TCS46 -0.32625 0.0559 1541 -5.834 <.0001
## TCS43 - TCS47 -0.16983 0.0559 1541 -3.037 0.2133
## TCS43 - TCS48 -0.29279 0.0559 1541 -5.236 <.0001
## TCS43 - TCS49 -0.13662 0.0559 1541 -2.443 0.6284
## TCS44 - TCS45 0.13975 0.0534 1541 2.618 0.4912
## TCS44 - TCS46 0.01123 0.0534 1541 0.210 1.0000
## TCS44 - TCS47 0.16765 0.0534 1541 3.141 0.1648
## TCS44 - TCS48 0.04469 0.0534 1541 0.837 1.0000
## TCS44 - TCS49 0.20086 0.0534 1541 3.763 0.0242
## TCS45 - TCS46 -0.12852 0.0534 1541 -2.408 0.6555
## TCS45 - TCS47 0.02790 0.0534 1541 0.523 1.0000
## TCS45 - TCS48 -0.09506 0.0534 1541 -1.781 0.9663
## TCS45 - TCS49 0.06111 0.0534 1541 1.145 0.9999
## TCS46 - TCS47 0.15642 0.0534 1541 2.931 0.2723
## TCS46 - TCS48 0.03346 0.0534 1541 0.627 1.0000
## TCS46 - TCS49 0.18963 0.0534 1541 3.553 0.0496
## TCS47 - TCS48 -0.12296 0.0534 1541 -2.304 0.7319
## TCS47 - TCS49 0.03321 0.0534 1541 0.622 1.0000
## TCS48 - TCS49 0.15617 0.0534 1541 2.926 0.2750
##
## Results are averaged over the levels of: semana, bloque
## P value adjustment: tukey method for comparing a family of 20 estimates
cld_gen <-multcomp::cld(contrast, alpha = 0.05, Letters = LETTERS, reversed=T)
cld_gen
## gen emmean SE df lower.CL upper.CL .group
## TCS20 1.532 0.0377 1541 1.458 1.606 A
## TCS44 1.505 0.0377 1541 1.431 1.579 AB
## TCS46 1.494 0.0377 1541 1.420 1.568 AB
## TCS48 1.460 0.0377 1541 1.386 1.534 ABC
## TCS12 1.448 0.0377 1541 1.374 1.522 ABC
## TCS11 1.431 0.0377 1541 1.357 1.505 ABC
## TCS05 1.427 0.0377 1541 1.353 1.501 ABC
## TCS03 1.394 0.0380 1541 1.319 1.468 ABC
## TCS45 1.365 0.0377 1541 1.291 1.439 ABCD
## TCS10 1.341 0.0377 1541 1.267 1.415 BCD
## TCS47 1.337 0.0377 1541 1.263 1.411 BCD
## TCS49 1.304 0.0377 1541 1.230 1.378 CDE
## TCS43 1.168 0.0413 1541 1.087 1.249 DEF
## TCS04 1.140 0.0377 1541 1.066 1.215 EF
## TCS01 1.121 0.0398 1541 1.043 1.199 EFG
## TCS02 1.010 0.0377 1541 0.936 1.084 FGH
## TCS40 0.928 0.0385 1541 0.853 1.003 GH
## TCS08 0.894 0.0471 1541 0.801 0.986 H
## TCS41 0.884 0.0377 1541 0.810 0.958 H
## TCS42 0.874 0.0380 1541 0.800 0.949 H
##
## Results are averaged over the levels of: semana, bloque
## Confidence level used: 0.95
## P value adjustment: tukey method for comparing a family of 20 estimates
## significance level used: alpha = 0.05
## NOTE: Compact letter displays can be misleading
## because they show NON-findings rather than findings.
## Consider using 'pairs()', 'pwpp()', or 'pwpm()' instead.
## Gráficas contrastes de medias índice de área foliar
#Gen
contrast <- emmeans(aov.iaf, ~gen)
plot(contrast, comparisons = TRUE, xlab ="Índice de área foliar")
medias.gen <- emmeans(aov.iaf, pairwise ~ gen)
medias.gen
## $emmeans
## gen emmean SE df lower.CL upper.CL
## TCS01 7.48 1.039 1541 5.45 9.52
## TCS02 9.66 0.985 1541 7.73 11.59
## TCS03 11.42 0.992 1541 9.48 13.37
## TCS04 7.05 0.985 1541 5.11 8.98
## TCS05 8.36 0.985 1541 6.42 10.29
## TCS08 3.69 1.231 1541 1.28 6.11
## TCS10 12.19 0.985 1541 10.26 14.12
## TCS11 12.24 0.985 1541 10.30 14.17
## TCS12 10.56 0.985 1541 8.62 12.49
## TCS20 13.51 0.985 1541 11.58 15.44
## TCS40 6.03 1.004 1541 4.06 8.00
## TCS41 4.69 0.985 1541 2.76 6.62
## TCS42 4.90 0.992 1541 2.95 6.84
## TCS43 10.39 1.077 1541 8.28 12.51
## TCS44 10.61 0.985 1541 8.68 12.54
## TCS45 8.26 0.985 1541 6.33 10.19
## TCS46 14.84 0.985 1541 12.90 16.77
## TCS47 8.24 0.985 1541 6.31 10.18
## TCS48 11.89 0.985 1541 9.95 13.82
## TCS49 15.31 0.985 1541 13.38 17.24
##
## Results are averaged over the levels of: semana, bloque
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## TCS01 - TCS02 -2.1753 1.43 1541 -1.519 0.9942
## TCS01 - TCS03 -3.9391 1.44 1541 -2.743 0.3970
## TCS01 - TCS04 0.4370 1.43 1541 0.305 1.0000
## TCS01 - TCS05 -0.8733 1.43 1541 -0.610 1.0000
## TCS01 - TCS08 3.7919 1.61 1541 2.355 0.6950
## TCS01 - TCS10 -4.7072 1.43 1541 -3.288 0.1109
## TCS01 - TCS11 -4.7525 1.43 1541 -3.319 0.1013
## TCS01 - TCS12 -3.0744 1.43 1541 -2.147 0.8314
## TCS01 - TCS20 -6.0276 1.43 1541 -4.210 0.0043
## TCS01 - TCS40 1.4562 1.44 1541 1.008 1.0000
## TCS01 - TCS41 2.7941 1.43 1541 1.952 0.9209
## TCS01 - TCS42 2.5853 1.44 1541 1.800 0.9625
## TCS01 - TCS43 -2.9097 1.49 1541 -1.946 0.9227
## TCS01 - TCS44 -3.1252 1.43 1541 -2.183 0.8108
## TCS01 - TCS45 -0.7747 1.43 1541 -0.541 1.0000
## TCS01 - TCS46 -7.3542 1.43 1541 -5.137 0.0001
## TCS01 - TCS47 -0.7610 1.43 1541 -0.532 1.0000
## TCS01 - TCS48 -4.4026 1.43 1541 -3.075 0.1946
## TCS01 - TCS49 -7.8265 1.43 1541 -5.466 <.0001
## TCS02 - TCS03 -1.7638 1.40 1541 -1.262 0.9995
## TCS02 - TCS04 2.6123 1.39 1541 1.875 0.9448
## TCS02 - TCS05 1.3020 1.39 1541 0.934 1.0000
## TCS02 - TCS08 5.9672 1.58 1541 3.784 0.0225
## TCS02 - TCS10 -2.5319 1.39 1541 -1.817 0.9590
## TCS02 - TCS11 -2.5772 1.39 1541 -1.849 0.9514
## TCS02 - TCS12 -0.8991 1.39 1541 -0.645 1.0000
## TCS02 - TCS20 -3.8523 1.39 1541 -2.764 0.3818
## TCS02 - TCS40 3.6315 1.41 1541 2.581 0.5203
## TCS02 - TCS41 4.9694 1.39 1541 3.566 0.0475
## TCS02 - TCS42 4.7606 1.40 1541 3.405 0.0786
## TCS02 - TCS43 -0.7344 1.46 1541 -0.503 1.0000
## TCS02 - TCS44 -0.9499 1.39 1541 -0.682 1.0000
## TCS02 - TCS45 1.4006 1.39 1541 1.005 1.0000
## TCS02 - TCS46 -5.1789 1.39 1541 -3.716 0.0286
## TCS02 - TCS47 1.4143 1.39 1541 1.015 1.0000
## TCS02 - TCS48 -2.2273 1.39 1541 -1.598 0.9895
## TCS02 - TCS49 -5.6512 1.39 1541 -4.055 0.0081
## TCS03 - TCS04 4.3762 1.40 1541 3.130 0.1694
## TCS03 - TCS05 3.0658 1.40 1541 2.193 0.8046
## TCS03 - TCS08 7.7311 1.58 1541 4.891 0.0002
## TCS03 - TCS10 -0.7680 1.40 1541 -0.549 1.0000
## TCS03 - TCS11 -0.8133 1.40 1541 -0.582 1.0000
## TCS03 - TCS12 0.8647 1.40 1541 0.619 1.0000
## TCS03 - TCS20 -2.0885 1.40 1541 -1.494 0.9953
## TCS03 - TCS40 5.3954 1.41 1541 3.823 0.0196
## TCS03 - TCS41 6.7332 1.40 1541 4.816 0.0003
## TCS03 - TCS42 6.5245 1.40 1541 4.653 0.0006
## TCS03 - TCS43 1.0294 1.46 1541 0.703 1.0000
## TCS03 - TCS44 0.8140 1.40 1541 0.582 1.0000
## TCS03 - TCS45 3.1645 1.40 1541 2.264 0.7594
## TCS03 - TCS46 -3.4150 1.40 1541 -2.443 0.6286
## TCS03 - TCS47 3.1782 1.40 1541 2.273 0.7528
## TCS03 - TCS48 -0.4634 1.40 1541 -0.332 1.0000
## TCS03 - TCS49 -3.8874 1.40 1541 -2.781 0.3701
## TCS04 - TCS05 -1.3104 1.39 1541 -0.940 1.0000
## TCS04 - TCS08 3.3549 1.58 1541 2.128 0.8423
## TCS04 - TCS10 -5.1442 1.39 1541 -3.691 0.0312
## TCS04 - TCS11 -5.1895 1.39 1541 -3.724 0.0278
## TCS04 - TCS12 -3.5115 1.39 1541 -2.520 0.5686
## TCS04 - TCS20 -6.4647 1.39 1541 -4.639 0.0007
## TCS04 - TCS40 1.0192 1.41 1541 0.724 1.0000
## TCS04 - TCS41 2.3570 1.39 1541 1.691 0.9803
## TCS04 - TCS42 2.1483 1.40 1541 1.537 0.9933
## TCS04 - TCS43 -3.3467 1.46 1541 -2.292 0.7398
## TCS04 - TCS44 -3.5622 1.39 1541 -2.556 0.5399
## TCS04 - TCS45 -1.2117 1.39 1541 -0.869 1.0000
## TCS04 - TCS46 -7.7912 1.39 1541 -5.591 <.0001
## TCS04 - TCS47 -1.1980 1.39 1541 -0.860 1.0000
## TCS04 - TCS48 -4.8396 1.39 1541 -3.473 0.0639
## TCS04 - TCS49 -8.2636 1.39 1541 -5.930 <.0001
## TCS05 - TCS08 4.6653 1.58 1541 2.959 0.2559
## TCS05 - TCS10 -3.8338 1.39 1541 -2.751 0.3913
## TCS05 - TCS11 -3.8791 1.39 1541 -2.784 0.3681
## TCS05 - TCS12 -2.2011 1.39 1541 -1.579 0.9908
## TCS05 - TCS20 -5.1543 1.39 1541 -3.699 0.0304
## TCS05 - TCS40 2.3296 1.41 1541 1.656 0.9843
## TCS05 - TCS41 3.6674 1.39 1541 2.632 0.4809
## TCS05 - TCS42 3.4587 1.40 1541 2.474 0.6043
## TCS05 - TCS43 -2.0364 1.46 1541 -1.395 0.9980
## TCS05 - TCS44 -2.2519 1.39 1541 -1.616 0.9881
## TCS05 - TCS45 0.0986 1.39 1541 0.071 1.0000
## TCS05 - TCS46 -6.4809 1.39 1541 -4.650 0.0006
## TCS05 - TCS47 0.1123 1.39 1541 0.081 1.0000
## TCS05 - TCS48 -3.5293 1.39 1541 -2.532 0.5585
## TCS05 - TCS49 -6.9532 1.39 1541 -4.989 0.0001
## TCS08 - TCS10 -8.4991 1.58 1541 -5.390 <.0001
## TCS08 - TCS11 -8.5444 1.58 1541 -5.419 <.0001
## TCS08 - TCS12 -6.8664 1.58 1541 -4.355 0.0024
## TCS08 - TCS20 -9.8196 1.58 1541 -6.227 <.0001
## TCS08 - TCS40 -2.3357 1.59 1541 -1.470 0.9961
## TCS08 - TCS41 -0.9978 1.58 1541 -0.633 1.0000
## TCS08 - TCS42 -1.2066 1.58 1541 -0.763 1.0000
## TCS08 - TCS43 -6.7016 1.63 1541 -4.099 0.0068
## TCS08 - TCS44 -6.9171 1.58 1541 -4.387 0.0021
## TCS08 - TCS45 -4.5666 1.58 1541 -2.896 0.2933
## TCS08 - TCS46 -11.1461 1.58 1541 -7.069 <.0001
## TCS08 - TCS47 -4.5529 1.58 1541 -2.887 0.2988
## TCS08 - TCS48 -8.1945 1.58 1541 -5.197 <.0001
## TCS08 - TCS49 -11.6185 1.58 1541 -7.368 <.0001
## TCS10 - TCS11 -0.0453 1.39 1541 -0.033 1.0000
## TCS10 - TCS12 1.6327 1.39 1541 1.172 0.9998
## TCS10 - TCS20 -1.3205 1.39 1541 -0.948 1.0000
## TCS10 - TCS40 6.1634 1.41 1541 4.380 0.0021
## TCS10 - TCS41 7.5012 1.39 1541 5.383 <.0001
## TCS10 - TCS42 7.2925 1.40 1541 5.217 <.0001
## TCS10 - TCS43 1.7975 1.46 1541 1.231 0.9996
## TCS10 - TCS44 1.5820 1.39 1541 1.135 0.9999
## TCS10 - TCS45 3.9325 1.39 1541 2.822 0.3417
## TCS10 - TCS46 -2.6470 1.39 1541 -1.899 0.9378
## TCS10 - TCS47 3.9462 1.39 1541 2.832 0.3351
## TCS10 - TCS48 0.3046 1.39 1541 0.219 1.0000
## TCS10 - TCS49 -3.1194 1.39 1541 -2.238 0.7761
## TCS11 - TCS12 1.6780 1.39 1541 1.204 0.9997
## TCS11 - TCS20 -1.2752 1.39 1541 -0.915 1.0000
## TCS11 - TCS40 6.2087 1.41 1541 4.413 0.0018
## TCS11 - TCS41 7.5465 1.39 1541 5.415 <.0001
## TCS11 - TCS42 7.3378 1.40 1541 5.249 <.0001
## TCS11 - TCS43 1.8428 1.46 1541 1.262 0.9995
## TCS11 - TCS44 1.6273 1.39 1541 1.168 0.9998
## TCS11 - TCS45 3.9778 1.39 1541 2.854 0.3200
## TCS11 - TCS46 -2.6017 1.39 1541 -1.867 0.9469
## TCS11 - TCS47 3.9915 1.39 1541 2.864 0.3136
## TCS11 - TCS48 0.3499 1.39 1541 0.251 1.0000
## TCS11 - TCS49 -3.0741 1.39 1541 -2.206 0.7968
## TCS12 - TCS20 -2.9532 1.39 1541 -2.119 0.8468
## TCS12 - TCS40 4.5307 1.41 1541 3.220 0.1337
## TCS12 - TCS41 5.8685 1.39 1541 4.211 0.0043
## TCS12 - TCS42 5.6598 1.40 1541 4.049 0.0083
## TCS12 - TCS43 0.1647 1.46 1541 0.113 1.0000
## TCS12 - TCS44 -0.0507 1.39 1541 -0.036 1.0000
## TCS12 - TCS45 2.2998 1.39 1541 1.650 0.9849
## TCS12 - TCS46 -4.2798 1.39 1541 -3.071 0.1965
## TCS12 - TCS47 2.3135 1.39 1541 1.660 0.9839
## TCS12 - TCS48 -1.3281 1.39 1541 -0.953 1.0000
## TCS12 - TCS49 -4.7521 1.39 1541 -3.410 0.0776
## TCS20 - TCS40 7.4839 1.41 1541 5.319 <.0001
## TCS20 - TCS41 8.8217 1.39 1541 6.330 <.0001
## TCS20 - TCS42 8.6130 1.40 1541 6.161 <.0001
## TCS20 - TCS43 3.1179 1.46 1541 2.136 0.8379
## TCS20 - TCS44 2.9025 1.39 1541 2.083 0.8655
## TCS20 - TCS45 5.2530 1.39 1541 3.769 0.0237
## TCS20 - TCS46 -1.3265 1.39 1541 -0.952 1.0000
## TCS20 - TCS47 5.2667 1.39 1541 3.779 0.0229
## TCS20 - TCS48 1.6251 1.39 1541 1.166 0.9998
## TCS20 - TCS49 -1.7989 1.39 1541 -1.291 0.9993
## TCS40 - TCS41 1.3378 1.41 1541 0.951 1.0000
## TCS40 - TCS42 1.1291 1.41 1541 0.800 1.0000
## TCS40 - TCS43 -4.3659 1.47 1541 -2.964 0.2525
## TCS40 - TCS44 -4.5814 1.41 1541 -3.256 0.1211
## TCS40 - TCS45 -2.2309 1.41 1541 -1.586 0.9904
## TCS40 - TCS46 -8.8104 1.41 1541 -6.262 <.0001
## TCS40 - TCS47 -2.2172 1.41 1541 -1.576 0.9910
## TCS40 - TCS48 -5.8588 1.41 1541 -4.164 0.0052
## TCS40 - TCS49 -9.2828 1.41 1541 -6.598 <.0001
## TCS41 - TCS42 -0.2087 1.40 1541 -0.149 1.0000
## TCS41 - TCS43 -5.7038 1.46 1541 -3.907 0.0144
## TCS41 - TCS44 -5.9193 1.39 1541 -4.247 0.0037
## TCS41 - TCS45 -3.5688 1.39 1541 -2.561 0.5362
## TCS41 - TCS46 -10.1483 1.39 1541 -7.282 <.0001
## TCS41 - TCS47 -3.5551 1.39 1541 -2.551 0.5439
## TCS41 - TCS48 -7.1967 1.39 1541 -5.164 <.0001
## TCS41 - TCS49 -10.6206 1.39 1541 -7.621 <.0001
## TCS42 - TCS43 -5.4950 1.46 1541 -3.753 0.0251
## TCS42 - TCS44 -5.7105 1.40 1541 -4.085 0.0072
## TCS42 - TCS45 -3.3600 1.40 1541 -2.404 0.6588
## TCS42 - TCS46 -9.9395 1.40 1541 -7.110 <.0001
## TCS42 - TCS47 -3.3463 1.40 1541 -2.394 0.6662
## TCS42 - TCS48 -6.9879 1.40 1541 -4.999 0.0001
## TCS42 - TCS49 -10.4119 1.40 1541 -7.448 <.0001
## TCS43 - TCS44 -0.2155 1.46 1541 -0.148 1.0000
## TCS43 - TCS45 2.1350 1.46 1541 1.462 0.9964
## TCS43 - TCS46 -4.4445 1.46 1541 -3.044 0.2097
## TCS43 - TCS47 2.1487 1.46 1541 1.472 0.9961
## TCS43 - TCS48 -1.4929 1.46 1541 -1.023 1.0000
## TCS43 - TCS49 -4.9168 1.46 1541 -3.368 0.0880
## TCS44 - TCS45 2.3505 1.39 1541 1.687 0.9808
## TCS44 - TCS46 -4.2290 1.39 1541 -3.035 0.2146
## TCS44 - TCS47 2.3642 1.39 1541 1.696 0.9796
## TCS44 - TCS48 -1.2774 1.39 1541 -0.917 1.0000
## TCS44 - TCS49 -4.7014 1.39 1541 -3.374 0.0865
## TCS45 - TCS46 -6.5795 1.39 1541 -4.721 0.0004
## TCS45 - TCS47 0.0137 1.39 1541 0.010 1.0000
## TCS45 - TCS48 -3.6279 1.39 1541 -2.603 0.5030
## TCS45 - TCS49 -7.0519 1.39 1541 -5.060 0.0001
## TCS46 - TCS47 6.5932 1.39 1541 4.731 0.0004
## TCS46 - TCS48 2.9516 1.39 1541 2.118 0.8475
## TCS46 - TCS49 -0.4723 1.39 1541 -0.339 1.0000
## TCS47 - TCS48 -3.6416 1.39 1541 -2.613 0.4953
## TCS47 - TCS49 -7.0656 1.39 1541 -5.070 0.0001
## TCS48 - TCS49 -3.4240 1.39 1541 -2.457 0.6177
##
## Results are averaged over the levels of: semana, bloque
## P value adjustment: tukey method for comparing a family of 20 estimates
cld_gen <-multcomp::cld(contrast, alpha = 0.05, Letters = LETTERS, reversed=T)
cld_gen
## gen emmean SE df lower.CL upper.CL .group
## TCS49 15.31 0.985 1541 13.38 17.24 A
## TCS46 14.84 0.985 1541 12.90 16.77 A
## TCS20 13.51 0.985 1541 11.58 15.44 AB
## TCS11 12.24 0.985 1541 10.30 14.17 ABC
## TCS10 12.19 0.985 1541 10.26 14.12 ABC
## TCS48 11.89 0.985 1541 9.95 13.82 ABCD
## TCS03 11.42 0.992 1541 9.48 13.37 ABCD
## TCS44 10.61 0.985 1541 8.68 12.54 ABCDE
## TCS12 10.56 0.985 1541 8.62 12.49 ABCDE
## TCS43 10.39 1.077 1541 8.28 12.51 ABCDE
## TCS02 9.66 0.985 1541 7.73 11.59 BCDEF
## TCS05 8.36 0.985 1541 6.42 10.29 CDEFG
## TCS45 8.26 0.985 1541 6.33 10.19 CDEFG
## TCS47 8.24 0.985 1541 6.31 10.18 CDEFG
## TCS01 7.48 1.039 1541 5.45 9.52 CDEFG
## TCS04 7.05 0.985 1541 5.11 8.98 DEFG
## TCS40 6.03 1.004 1541 4.06 8.00 EFG
## TCS42 4.90 0.992 1541 2.95 6.84 FG
## TCS41 4.69 0.985 1541 2.76 6.62 G
## TCS08 3.69 1.231 1541 1.28 6.11 G
##
## Results are averaged over the levels of: semana, bloque
## Confidence level used: 0.95
## P value adjustment: tukey method for comparing a family of 20 estimates
## significance level used: alpha = 0.05
## NOTE: Compact letter displays can be misleading
## because they show NON-findings rather than findings.
## Consider using 'pairs()', 'pwpp()', or 'pwpm()' instead.
detach(datos5)