levPlot: Create a Leverage (hat values) Plot

In MichaelJMahometa/SDSRegressionR: Helper functions for Applied Regression Analysis

Description

Simple function to produce a plot of the hat values (leverage) after a model run in lm().

Usage

levPlot(
  obj,
  ylim = NULL,
  key.variable = NULL,
  print.obs = FALSE,
  print.plot = TRUE,
  sort.obs = TRUE,
  all.obs = FALSE,
  save.cutoff = FALSE,
  cut.level = 3
)

Arguments

obj	Object from an lm() fiitted equation.
ylim	Optional ylim for the plot.
key.variable	Required if lm() data object is of tibble class. Name of the unique key variable (identifier variable). If data object is of data.frame class, this is optional and row.names will be used instead.
print.obs	Logical: Should observations outside the specified sigma level be printed to the console?
print.plot	Logical: Should plot be created?
sort.obs	Logical: Should observations (if print.obs=TRUE) be sorted?
all.obs	Logical: Should all observations be printed?
save.cutoff	Logical: Should the used cutoff of the hat value be saved. The standard cut-offs (graphed) at 2 and 3 times the average hat value ((k+1) / n).
cut.level	Level to be used in *printing* the list of Leverage outliers. Defaults to 3 times the average hat value ((k+1) / n).

See Also

studResidPlot cooksPlot threeOuts

Examples

mod <- lm(hp ~ disp, data=mtcars)
summary(mod)
leveragePlot(mod)

MichaelJMahometa/SDSRegressionR documentation built on March 3, 2021, 10:51 p.m.