R: Score plot for Principal Components (objects of class 'Pca')
scorePlot-methods
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) "Pca".
i
First score coordinate, defaults to i=1.
j
Second score coordinate, defaults to j=2.
...
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 also biplot, 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)