Generate a suite of diagnostic plots

This convenience wrapper returns residual-vs-fitted and spread-level plots to help visually assess heteroscedastic patterns.

Usage

plotDiagnosticSuite(model)

Arguments

model

A fitted model of class lm.

Value

A list with elements residuals_fitted and spread_level, each a ggplot object.

Examples

data(mtcars)
m <- lm(mpg ~ wt + qsec, data = mtcars)
plots <- plotDiagnosticSuite(m)
plots$residuals_fitted
#> `geom_smooth()` using formula = 'y ~ x'