Skip to contents

Plot Standard Residuals vs. Leverage with Cook's Distance Contours

Source: R/lm_plot.lev.R
lm_plot.lev.Rd

Creates a plot of standard residuals versus leverage values, including Cook's distance contours to visualize influential observations.

Usage

lm_plot.lev(
  mdl,
  ...,
  cook.loess = FALSE,
  parms = lm_plot.parms(mdl),
  df = lm_plot.df(mdl, parms = parms)
)

Arguments

mdl

A fitted model object (typically from lm).

...

Additional arguments (not currently used).

cook.loess

Option (logical, default = FALSE) indicates whether to show loess curve for Cook's distances on the plot.

parms

List of plotting parameters, usually from lm_plot.parms().

df

Data frame with augmented model data. Defaults to lm_plot.df(mdl).

Value

A ggplot object representing the standardized residuals vs leverage plot. Included as an attribute "parms" is a list containing:

  • lim Plotted limits on x and y axes,

  • cook.loess Option to show loess curve for Cook's distances.

Details

The plot displays standardized residuals against leverage, overlays Cook's distance contours, and marks outliers based on residuals and Cook's distance. Outlier and influential points can be labeled, and a loess fit line is optionally added.

See also

lm_plot.df, lm_plot.parms

Examples

mdl <- lm(Sepal.Length ~ Sepal.Width, data = iris)
lm_plot.lev(mdl)