plot.lmmlasso: Diagnostic Plots for a lmmlasso object
Description
Plots six diagnostic plots for checking the model
assumptions and supporting model selection for a lmmlasso object
Usage
"plot"(x, ...)
Arguments
x
a lmmlasso object
...
not used.
Details
plot.lmmlasso shows six diagnostic plots which support
checking the model assumption, model fit and may give hints for
another model. 1) The first plot depicts the Tukey-Anscombe plot in
order to check the assumptions about the errors. Points with the same
color belong to the same group. 2) QQ-Plot of the
residuals with equal coloring for each group. 3) QQ-Plot of the
predicted random effects. Be careful with the interpretation since the
random effects have not been standardized. The color shows which
points belong to the same random-effects covariate. 4) Boxplot of the
predicted random effects for each random-effects variable. 5) Plot of
the fitted y-values against the observed y-values. 6) A histogram of
the fixed-effects coefficients.
data(classroomStudy)
fit <- lmmlasso(x=classroomStudy$X,y=classroomStudy$y,z=classroomStudy$Z,grp=classroomStudy$grp,lambda=15,pdMat="pdIdent")
plot(fit)