ddPlot.covfm: Distance - Distance Plot

In robust: Port of the S+ "Robust Library"

Description

For a covfm object containing 2 models, this function plots the Mahalanobis distance from the first model on the y-axis and the Mahalanobis distance from the second model on the x-axis.

Usage

ddPlot.covfm(x, level = 0.95, strip = "", id.n = 3, ...)

Arguments

x	a "covfm" object.
level	a single numeric value between 0 and 1 giving the chi-squared percent point used to compute the outlyingness threshold.
strip	a character string printed in the “strip” at the top of the plot.
id.n	a single nonnegative integer specifying the number of extreme points to label in the plot.
...	additional arguments are passed to xyplot.

Value

if the models can be compared then the plotted trellis object is invisibly returned. Otherwise x is returned invisibly.

Examples

 data(woodmod.dat)
 woodm.fm <- fit.models(list(Robust = "covRob", Classical = "covClassic"),
                        data = woodmod.dat)
 ddPlot.covfm(woodm.fm, main = "Plot Title", xlab = "x-axis label",
              ylab = "y-axis label", pch = 4, col = "purple")

robust documentation built on May 2, 2019, 5:20 p.m.