plot.fwdlm: Forward Search in Linear Regression

In forward: Robust Analysis using Forward Search

Forward Search in Linear Regression

Description

This function plots the results of a forward search analysis in linear regression models.

Usage

## S3 method for class 'fwdlm'
plot(x, which.plots = 1:10, squared = FALSE, scaled = TRUE, 
     ylim = NULL, xlim = NULL, th.Res = 2, th.Lev = 0.25, sig.Tst = 2.58, 
     labels.in.plot = TRUE, ...)

Arguments

x	a "fwdlm" object.
which.plots	select which plots to draw, by default all. Each graph is addressed by an integer: scaled residuals leverages maximum studentized residuals minimum deletion residuals coefficients statistics forward Cook's distances modified forward Cook's distances S^2 values R^2 values
squared	logical, if TRUE plots squared residuals.
scaled	logical, if TRUE plots scaled coefficient estimates.
ylim	a two component vector for the min and max of the y axis.
xlim	a two component vector for the min and max of the x axis.
th.Res	numerical, a threshold for labelling the residuals.
th.Lev	numerical, a threshold for labelling the leverages.
sig.Tst	numerical, a value (on the scale of the t statistics) used to draw the confidence interval on the plot of the t statistics.
labels.in.plot	logical, if TRUE units are labelled in the plots when required.
...	further arguments passed to or from other methods.

Author(s)

Originally written for S-Plus by: Kjell Konis [e-mail] and Marco Riani [e-mail]
Ported to R by Luca Scrucca [e-mail]

References

Atkinson, A.C. and Riani, M. (2000), Robust Diagnostic Regression Analysis, First Edition. New York: Springer, Chapters 2-3.

See Also

fwdlm, fwdsco, fwdglm.

Examples

library(MASS)
data(forbes)
plot(forbes)
mod <- fwdlm(100*log10(pres) ~ bp, data=forbes)
summary(mod)
## Not run: plot(mod)

forward documentation built on May 9, 2022, 9:05 a.m.