This function plots the results of a forward search analysis in linear regression models.
1 2 3 4 
x 
a 
which.plots 
select which plots to draw, by default all. Each graph is addressed by an integer:

squared 
logical, if 
scaled 
logical, if 
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 
... 
further arguments passed to or from other methods. 
Originally written for SPlus by:
Kjell Konis kkonis@insightful.com and Marco Riani mriani@unipr.it
Ported to R by Luca Scrucca luca@stat.unipg.it
Atkinson, A.C. and Riani, M. (2000), Robust Diagnostic Regression Analysis, First Edition. New York: Springer, Chapters 23.
fwdlm
, fwdsco
, fwdglm
.
1 2 3 4 5  ## 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)

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
All documentation is copyright its authors; we didn't write any of that.