ddPlot.covfm | R Documentation |
For a covfm
object containing 2 models, this function plots the
Mahalanobis distance from the first model on the y-axis and the
Mahalanobis distance from the second model on the x-axis.
ddPlot.covfm(x, level = 0.95, strip = "", id.n = 3, ...)
x |
a |
level |
a single numeric value between 0 and 1 giving the chi-squared percent point used to compute the outlyingness threshold. |
strip |
a character string printed in the “strip” at the top of the plot. |
id.n |
a single nonnegative integer specifying the number of extreme points to label in the plot. |
... |
additional arguments are passed to |
if the models can be compared then the plotted trellis
object is
invisibly returned. Otherwise x
is returned invisibly.
data(woodmod.dat)
woodm.fm <- fit.models(list(Robust = "covRob", Classical = "covClassic"),
data = woodmod.dat)
ddPlot.covfm(woodm.fm, main = "Plot Title", xlab = "x-axis label",
ylab = "y-axis label", pch = 4, col = "purple")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.