R: Score plot for Principal Components (objects of class 'Pca')

scorePlot-methods {rrcov}

R Documentation

Score plot for Principal Components (objects of class 'Pca')

Produces a score plot from an object (derived from) Pca-class.

    ## S4 method for signature 'Pca'
scorePlot(x, i=1, j=2, ...)

`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.

a plot is produced on the current graphics device.

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.

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 1.3-8 Index]