plot.logregmodel: Plots for Logic Regression

Description

Makes plots for an object of class logregmodel fitted by logreg.

Usage

# S3 method for logregmodel
plot(x, pscript=FALSE, title=TRUE, nms, ...)

Value

The fitted trees are plotted.

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.

Author

Ingo Ruczinski ingo@jhu.edu and Charles Kooperberg clk@fredhutch.org.

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, available from https://research.fredhutch.org/content/dam/stripe/kooperberg/ingophd-logic.pdf

Examples

Run this code

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

Run the code above in your browser using DataLab

Get 50% off unlimited learning