plot.fwdglm {forward} | R Documentation |
This function plots the results of a forward search analysis in generalized linear models.
## S3 method for class 'fwdglm': plot(x, which.plots = 1:11, squared = FALSE, scaled =FALSE, ylim = NULL, xlim = NULL, th.Res = 4, th.Lev = 0.25, sig.Tst =2.58, sig.score = 1.96, plot.pf = FALSE, labels.in.plot = TRUE, ...)
x |
a `"fwdglm"' object. |
which.plots |
select which plots to draw, by default all. Each graph is addressed by an integer:
|
squared |
logical, if TRUE plots squared deviance 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 used to draw the confidence interval on the plot of the t statistics. |
sig.score |
numerical, a value used to draw the confidence interval on the plot of the score test statistic. |
plot.pf |
logical, in case of binary response if TRUE graphs contain all the step of the forward search, otherwise only those in which there is no perfect fit. |
labels.in.plot |
logical, if TRUE units are labelled in the plots when required. |
... |
further arguments passed to or from other methods. |
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
Atkinson, A.C. and Riani, M. (2000), Robust Diagnostic Regression Analysis, First Edition. New York: Springer, Chapter 6.
## Not run: data(cellular) ## Not run: mod <- fwdglm(y ~ as.factor(TNF) + as.factor(IFN), data=cellular, family=poisson(log), nsamp=200) ## End(Not run) ## Not run: summary(mod) ## Not run: plot(mod)