Last data update: 2014.03.03
R: Forward Search in Linear Regression
plot.fwdlm 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:
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 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)
Results