Plot Method for Robust Principal Components Objects

DESCRIPTION:

Creates a set plots useful for assessing a fitted principal components model of class princompRob. The plot options are (2) Scatter Plot of Components, (3) Loadings, and (4) Variances.

USAGE:

plot.princompRob(x, which.plots = "all", spcomps = "Auto", ...)

REQUIRED ARGUMENTS:

x
a princompRob object.

OPTIONAL ARGUMENTS:

which.plots
either "ask", "all", or an integer vector specifying which plots to draw. If which.plots is an integer vector, use the plot numbers given in the description above (or in the "ask" menu).
spcomps
an integer vector specifying which componets to include in the Scatter Plot. The default ("Auto") is to display the components with the 5 largest standard deviations (or all the components if there are less than 5).

VALUE:

x is returned invisibly.

SIDE EFFECTS:

The selected plots are drawn on a graphics device.

DETAILS:

The princompRobRob object is coerced to a pcompfm object containing a single model. The plotting is then accomplished by calling plot.pcompfm.

SEE ALSO:

, .

EXAMPLES:

plot(princompRob(stack.dat))