resplot: Residual plots of linear models.

In biometryhub/BiometryTraining: Functions to Assist Design and Analysis of Agronomic Experiments

Description

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

Usage

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

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

Arguments

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.

Value

A list containing ggplot2 objects which are diagnostic plots.

Examples

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

biometryhub/BiometryTraining documentation built on Jan. 27, 2022, 7:52 p.m.