covfmSqrtMDPlot {robust} | R Documentation |
Produces side-by-side plots of the Mahalanobis distances computed using the location and covariance matrix estimates contained in each model of a covfm object.
covfmSqrtMDPlot(x, chisq.percent = 0.975, id.n = 3, ...)
x |
an object of class "covfm" containing 2 elements,
typically the result of fit.models(..) . |
chisq.percent |
a numeric value between 0 and 1 giving the chi-squared percent point used to compute the outlyingness threshold. |
id.n |
a positive integer specifying the number of extreme points to label in the plot. |
... |
additional arguments are passed to the low-level plotting functions. |
This function is called by the generic function
plot.covfm
. To use this function on a "cov" or "covRob"
object, first use fit.models
to coerce the object to class "covfm".
x is invisibly returned.
plot.covfm
,
fit.models
,
covRob
,
ccov
.
data(woodmod.dat) woodm.fm <- fit.models(list(Robust = "covRob", Classical = "ccov"), data = woodmod.dat) covfmSqrtMDPlot(woodm.fm)