robust (version 0.4-18.2)

ddPlot.covfm: Distance - Distance Plot

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

# NOT RUN {
 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")
# }