cooksplot: Plot of standardized residuals vs. leverage with boundaries...

In Stat2Data: Datasets for Stat2

Description

This function produces an plot of standardized residuals versus leverage values for a regression model. Horizontal boundaries identify mild or more extreme standardized residuals. Vertical boundaries identify mild and more severe high leverage points. Curved boundaries identify mild and more severe values of Cook's D.

Usage

cooksplot(mod)

Arguments

mod	a regression model from lm( )

Details

The plot shows standardized residuals (vertical) versus leverage values (horizontal) for all cases in a regression model.

Horizontal (blue) boundaries mark standardized residuals beyond +/- 2 (mild) and +/- 3 (more severe).

Vertical (green) boundaries mark leverage points beyond 2(k+1)/4 (mild) and 3(k+1)/n (more severe), where k= number of predictors.

Curved (red) boundaries for mark influential points beyond 0.5 (mild) and 1.0 (more severe) using Cook's D.

Unusual points are labeled with a case number.

Value

A plot showing standardized residuals versus leverage values with boundaries for unusual cases

Examples

data(AccordPrice)
mod1=lm(Price~Age,data=AccordPrice)
cooksplot(mod1)

Stat2Data documentation built on May 2, 2019, 7:25 a.m.