forward (version 1.0.7)

plot.fwdlm: Forward Search in Linear Regression

Description

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

Usage

# S3 method for 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:

1. leverages

2. maximum studentized residuals

3. minimum deletion residuals

4. coefficients

5. statistics

6. forward Cook's distances

7. modified forward Cook's distances

8. \(S^2\) values

9. \(R^2\) 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

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

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)
if (FALSE) plot(mod)