R: Plots for Logic Regression

plot.logregmodel {LogicReg} | R Documentation

## 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 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 http://kooperberg.fhcrc.org/logic/documents/ingophd-logic.pdf

### 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

[Package LogicReg version 1.6.2 Index]