pcpPlot: A PCP plot of the data, residuals or hat values from...

In cbhurley/ERSA: Exploratory Regression 'Shiny' App

Description

A PCP plot of the data, residuals or hat values from regression fits

Usage

pcpPlot(data, fit, type = "Variables", npcpCols = 4, resDiff = F,
  absResid = F, sequential = F, selnum = NULL)

Arguments

data	a data frame
fit	a lm for the data frame
type	one of "Variables", "Residuals", "Hatvalues"
npcpCols	number of colours
resDiff	difference residuals, TRUE or FALSE
absResid	absolute residuals, TRUE or FALSE
sequential	use sequential fits (TRUE) or drop1 fits (FALSE)
selnum	row numbers of cases to be highlighted

Value

ggplot

Examples

f <- lm(mpg ~ wt+hp+disp, data=mtcars)
pcpPlot(mtcars, f, type="Residuals")

cbhurley/ERSA documentation built on July 20, 2020, 5:15 a.m.