diagplot: Diagnostic plots based on a linear model fit.

In kloke/hbrfit: High breakdown rank-based (HBR) estimation for linear models

Diagnostic plots based on a linear model fit.

Description

Diagnostic plots based on a linear model fit. Used for it's side effect of creating a 2x2 grid with the following plots: raw residuals vs fits; histogram of raw residuals; case plot of the Studentized residuals; normal probability plot of the raw residuals.

Usage

diagplot(fit, ...)

Arguments

fit	a linear model fit.
...	additional arguments. currently unused.

Details

Designed for use with hbrfit and rfit, but should work with any linear model fit such that the functions fitted.values(fit), residuals(fit), rstudent(fit) return the appropriate vectors.

Author(s)

Jeff Terpstra, Joe McKean, John Kloke

References

Hettmansperger, T.P. and McKean J.W. (2011), Robust Nonparametric Statistical Methods, 2nd ed., New York: Chapman-Hall.

Terpstra, J. and McKean, J.W. (2005), Rank-based analyses of linear models using R, Journal of Statistical Software, 14(7).

See Also

hbrfit

Examples

# R estimates are robust to outliers in Y-space
x<-runif(47)
y<-rcauchy(47)
fit<-rfit(y~x)
diagplot(fit)

# HBR estimates are robust to outliers in both X- and Y-space
x<-rcauchy(47)
y<-rcauchy(47)
diagplot(hbrfit(y~x))

kloke/hbrfit documentation built on Nov. 17, 2023, 2:33 p.m.