plotXRinvreg {XReg}R Documentation

Plots inverse of extreme regression model

Description

plotXRinvreg Returns a plot of the inverse regression function, as a matrix plot. Rows of matrix are variables and columns correspond to miniumum terms. This representation of the regression function probably only works well as a graphical display for up to about 5 unique variables and 5 terms.

Usage

plotXRinvreg(x,xrout,shading=F,quant=F,both=F,qlev=c(.2,.4,.6,.8),
                      spec.ylim=F,mat.ylim=NULL,level.set=NA)

Arguments

x matrix of predictors
xrout output from XR regression function XReg
shading if shading=T shade the directions of the rules in panel associated with sequence of rules x:f(x)>=q
quant if quant=T, plot rules in terms of quantiles or ranked predictions. Note, models will not appear linear univarite.
both if both=T, plot in linear form, but put quantiles on the top of plot
qlev if both=T, these are the labels for the quantiles put on the top of the plot
spec.ylim if spec.ylim=F, do not specify the limits of the y axis of the plot. Note, in this case the same variable different plots could have different axes. If spec.ylim=T, then the user must provide the limits y-axis for each of the variables.
mat.ylim This gives the y-axis limits (min,max) for each of the variables, it is a 2xp matrix, where each column corresponds to a predictor variable. It is only used if spec.ylim=T.
level.set If this is set to a numeric value, a highlighted line will be added to the plot to indicate associated rule

Author(s)

Michael LeBlanc mleblanc@fhcrc.org

Examples

##
  # See XReg

[Package XReg version 1.0 Index]