Scatter-plot diagnostics for heteroscedasticity

Source: man/performScatterDiagnostic.Rd · Help: ?performScatterDiagnostic

Computes correlations between absolute residuals and selected variables.

Usage

performScatterDiagnostic(model, data, vars)

Arguments

model

an object of class lm.

data

data frame used to fit model.

vars

character vector of variable names.

Value

A named numeric vector of correlations.

Details

High correlations suggest increasing spread with the explanatory variables and motivate variance-stabilizing transformations.

References

Cleveland, W. S. (1979). Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association, 74(368), 829–836.

Examples

 data(mtcars)
 m <- lm(mpg ~ wt + qsec, data = mtcars)
 performScatterDiagnostic(m, mtcars, c("wt", "qsec"))