R: Side-by-Side Mahalanobis Distance Plot

distancePlot.covfm {robust} | R Documentation

## 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")

[Package robust version 0.6-1 Index]