Produce residual plots of linear models — resplot • biometryassist

Produces plots of residuals for assumption checking of linear (mixed) models.

Usage

resplot(
  model.obj,
  shapiro = TRUE,
  call = FALSE,
  label.size = 10,
  axes.size = 10,
  call.size = 9,
  mod.obj
)

model.obj: An aov, lm, lme (nlme::lme()), lmerMod (lme4::lmer()), asreml or mmer (sommer) model object.
shapiro: (Logical) Display the Shapiro-Wilks test of normality on the plot?
call: (Logical) Display the model call on the plot?
label.size: A numeric value for the size of the label (A,B,C) font point size.
axes.size: A numeric value for the size of the axes label font size in points.
call.size: A numeric value for the size of the model displayed on the plot.
mod.obj: Deprecated to be consistent with other functions. Please use model.obj instead.

A ggplot2 object containing the diagnostic plots.

dat.aov <- aov(Petal.Length ~ Petal.Width, data = iris)
resplot(dat.aov)

resplot(dat.aov, call = TRUE)