Plots for Logic Regression
Description
Makes plots for an object of class logregmodel fitted by logreg.
Usage
## S3 method for class 'logregmodel'
plot(x, pscript=FALSE, title=TRUE, nms, ...)
Arguments
| 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. |
Value
The fitted trees are plotted.
Author(s)
Ingo Ruczinski and Charles Kooperberg
References
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.
See Also
logreg, logregmodel, plot.logreg, logreg.testdat
Examples
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
© 2025 Fred Hutchinson Cancer Center, a 501(c)(3) nonprofit organization.