distancePlot.covfm {fit.models}

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.