Diagnostic Plots for an "mve" Object

DESCRIPTION:

Creates plots for visualizing outliers detected by cov.mve .

USAGE:

plot.mve(mve.obj, ask=F, id.n=3, ...)

REQUIRED ARGUMENTS:

mve.obj
an mve object.

OPTIONAL ARGUMENTS:

ask
if TRUE, plot.mve operates in interactive mode.
id.n
number of points (must be less than the number of observations) to be identified in the appropriate plots. These will be the id.n most extreme points. Set to FALSE if no identified points are desired. Default: 3.

SIDE EFFECTS:

An appropriate plot is produced to display outliers. These can be one or all of the following choices:

Index plot of Robust Distances

Index plot of Classical Mahalanobis Distances
Robust vs Classical Mahalanobis Distances
97.5% MVE Tolerance Ellipse (if two-dimensional data set)

Each of these plots can be adorned with labels for the id.n most extreme points, depending on the options chosen.

DETAILS:

This function is a method for the generic function for class mve. It can be invoked by calling for an object x of the appropriate class, or directly by calling regardless of the class of the object.

When ask=T, rather than produce each plot sequentially, plot.lms displays a menu listing all the plots that can be produced. If the menu is not desired but a pause between plots is still wanted one must set par(ask=T) before invoking this command with argument ask=F.

SEE ALSO:

, , .

EXAMPLES:

mve.obj <- cov.mve(air)
plot(mve.obj, id.n=10)
plot(mve.obj, ask=T)  # interactive version.
oldpar <- par(ask=T)
plot(mve.obj)
par(oldpar)  # restore ask par