robust (version 0.4-18.2)

distancePlot.covfm: Side-by-Side Mahalanobis Distance Plot

Description

Produces side-by-side plots of Mahalanobis distance computed using the location and covariance matrix estimates contained in each element of a covfm object.

Usage

distancePlot.covfm(x, level = 0.95, 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.

id.n

a single nonnegative integer specifying the number of extreme points to label in the plot.

…

additional arguments are passed to xyplot.

Value

the trellis object is invisibly returned.

Examples

# NOT RUN {
  data(woodmod.dat)
  woodm.fm <- fit.models(list(Robust = "covRob", Classical = "covClassic"),
                         data = woodmod.dat)
  distancePlot.covfm(woodm.fm, main = "Plot Title", xlab = "x-axis label",
                     ylab = "y-axis label", pch = 4, col = "purple")
# }