plot.fwdlm {forward}R Documentation

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:
  1. scaled residuals
  2. leverages
  3. maximum studentized residuals
  4. minimum deletion residuals
  5. coefficients
  6. statistics
  7. forward Cook's distances
  8. modified forward Cook's distances
  9. S^2 values
  10. 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 kkonis@insightful.com and Marco Riani mriani@unipr.it
Ported to R by Luca Scrucca luca@stat.unipg.it

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

## Not run: data(forbes)
## Not run: plot(forbes)
## Not run: mod <- fwdlm(Log.Pressure ~ Boiling.point, data=forbes)
## Not run: summary(mod)
## Not run: plot(mod)

[Package forward version 1.0.2 Index]