| scorePlot-methods {rrcov} | R Documentation | 
Score plot for Principal Components (objects of class 'Pca')
Description
Produces a score plot from an object (derived from)  Pca-class.
Usage
    ## S4 method for signature 'Pca'
scorePlot(x, i=1, j=2, ...)
Arguments
x | 
 an object of class (derived from)   | 
i | 
 First score coordinate, defaults to   | 
j | 
 Second score coordinate, defaults to   | 
... | 
 optional arguments to be passed to the internal graphical functions.  | 
Side Effects
a plot is produced on the current graphics device.
Methods
- scorePlot
 signature(x = Pca): Plot a scatter plot of ith against jth score of the Pca object with superimposed tollerance (0.975) ellipse. See alsobiplot,screeplot.
See Also
Pca-class,
PcaClassic,
PcaRobust-class.
Examples
require(graphics)
## PCA of the Hawkins Bradu Kass's Artificial Data
##  using all 4 variables
data(hbk)
pca <- PcaHubert(hbk)
pca
scorePlot(pca)
[Package rrcov version 1.7-5 Index]