Plot Residual Diagnostics Default Method — plot.residualDiagnostics • JWileymisc

This function creates a number of diagnostic plots from residuals. It is a default method.

Usage

# S3 method for residualDiagnostics
plot(x, y, plot = TRUE, ask = TRUE, ncol, ...)

Arguments

x: A residualDiagnostics class object.
y: Included to match the generic. Not used.
plot: A logical value whether or not to plot the results or simply return the graphical objects.
ask: A logical whether to ask before changing plots. Only applies to interactive environments.
ncol: The number of columns to use for plots. Missing by default which means individual plots are created. If specified, plots are put together in a grid.
...: Included to match the generic. Not used.

Value

a list including plots of the residuals, residuals versus fitted values

Examples

testm <- stats::lm(mpg ~ hp * factor(cyl), data = mtcars)
testm <- stats::lm(mpg ~ factor(cyl), data = mtcars)

md <- residualDiagnostics(testm, ev.perc = .1)

plot(md, plot = FALSE)$ResFittedPlot

plot(md, ncol = 2)


## clean up
rm(testm, md)