plot.logregmodel {LogicReg} | R Documentation |
Makes plots for an object of class logregmodel
fitted by logreg
.
## S3 method for class 'logregmodel': plot(x, pscript=FALSE, title=TRUE, nms, ...)
x |
object of class logregmodel , typically a part of an
object of class logreg , which is the result of the function
logreg . |
pscript |
if TRUE all plots will be stored in postscript
files with distinct names. |
title |
if TRUE this generates a title for some plots,
typically listing the number of trees and the model size. |
nms |
names of variables. If nms is provided variable names will
be plotted, otherwise indices will be used. |
... |
graphical parameters can be given as arguments to plot. |
The fitted trees are plotted.
Ingo Ruczinski ingo@jhu.edu and Charles Kooperberg clk@fhcrc.org.
Ruczinski I, Kooperberg C, LeBlanc ML (2003). Logic Regression, Journal of Computational and Graphical Statistics, 12, 475-511.
Ruczinski I, Kooperberg C, LeBlanc ML (2002). Logic Regression - methods and software. Proceedings of the MSRI workshop on Nonlinear Estimation and Classification (Eds: D. Denison, M. Hansen, C. Holmes, B. Mallick, B. Yu), Springer: New York, 333-344.
Selected chapters from the dissertation of Ingo Ruczinski, available from http://bear.fhcrc.org/~ingor/logic/documents/myphd-logic.pdf
logreg
,
logregmodel
,
plot.logreg
,
logreg.testdat
data(logreg.savefit1) # myanneal <- logreg.anneal.control(start = -1, end = -4, iter = 25000, update = 1000) # logreg.savefit1 <- logreg(resp = logreg.testdat[,1], bin=logreg.testdat[, 2:21], # type = 2, select = 1, ntrees = 2, anneal.control = myanneal) # plot(logreg.savefit1) plot(logreg.savefit1$model) # does the same