either "ask", "all", or an integer vector specifying which plots to
draw. If which.plots is an integer vector, use the plot numbers given
here (or in the "ask" menu).
The plot
options are (2) Eigenvalues of Covariance Estimate, (3) Sqrt of Mahalanobis
Distances, (4) Distance - Distance Plot, and (5) Ellipses Matrix.
chisq.percent
p-value used to calculate the outlier threshold.
id.n
number of outliers identified in plots.
variables
an integer vector specifying which eigenvalues to display in the screeplot.
The default is to display the 10 largest eigenvalues.
VALUE:
x is invisibly returned.
SIDE EFFECTS:
The selected plots are drawn on a graphics device.
REFERENCES:
Murdoch and Chow (1996). A Graphical Display of Large Correlation
Matrices. American Statistician.
SEE ALSO:
,
.
EXAMPLES:
Robust <- covRob(woodmod.dat)
Classical <- cov(woodmod.dat)
# wood.fm is a fit.models object with virtual class covfm:
wood.fm <- fit.models(Robust, Classical)
plot(wood.fm)