distancePlot.covfm {robust}

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

  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")