robust: distancePlot.covfm – R documentation

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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

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")

robust

Port of the S+ "Robust Library"

v0.5-0.0

GPL-2

Authors

Jiahui Wang, Ruben Zamar <ruben@stat.ubc.ca>, Alfio Marazzi <Alfio.Marazzi@inst.hospvd.ch>, Victor Yohai <vyohai@dm.uba.ar>, Matias Salibian-Barrera <matias@stat.ubc.ca>, Ricardo Maronna <maron@mate.unlp.edu.ar>, Eric Zivot <ezivot@u.washington.edu>, David Rocke <dmrocke@ucdavis.edu>, Doug Martin, Martin Maechler <maechler@stat.math.ethz.ch>, Kjell Konis <kjell.konis@me.com>.

Initial release

2020-03-07