Residual plots for a output model of class anova_joint. Seven types of plots are produced: (1) Residuals vs fitted, (2) normal Q-Q plot for the residuals, (3) scale-location plot (standardized residuals vs Fitted Values), (4) standardized residuals vs Factor-levels, (5) Histogram of raw residuals and (6) standardized residuals vs observation order, and (7) 1:1 line plot.

# S3 method for anova_joint
plot(x, ...)

Arguments

x

An object of class anova_joint.

...

Additional arguments passed on to the function residual_plots

Author

Tiago Olivoto tiagoolivoto@gmail.com

Examples

# \donttest{ library(metan) model <- anova_joint(data_ge, ENV, GEN, REP, GY)
#> variable GY #> --------------------------------------------------------------------------- #> Joint ANOVA table #> --------------------------------------------------------------------------- #> Source Df Sum Sq Mean Sq F value Pr(>F) #> ENV 13.00 279.57 21.5057 62.33 0.00e+00 #> REP(ENV) 28.00 9.66 0.3451 3.57 3.59e-08 #> GEN 9.00 13.00 1.4439 14.93 2.19e-19 #> GEN:ENV 117.00 31.22 0.2668 2.76 1.01e-11 #> Residuals 252.00 24.37 0.0967 NA NA #> CV(%) 11.63 NA NA NA NA #> MSR+/MSR- 6.71 NA NA NA NA #> OVmean 2.67 NA NA NA NA #> --------------------------------------------------------------------------- #> #> All variables with significant (p < 0.05) genotype-vs-environment interaction #> Done!
plot(model)
plot(model, which = c(3, 5), nrow = 2, labels = TRUE, size.lab.out = 4)
# }