rrcov (version 1.6-2)

pca.scoreplot: Score plot for Principal Components (objects of class 'Pca')

Description

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

Usage

pca.scoreplot(obj, i=1, j=2, main, id.n, …)

Arguments

obj

an object of class (derived from) "Pca".

i

First score coordinate, defaults to i=1.

j

Second score coordinate, defaults to j=2.

main

The main title of the plot.

id.n

Number of observations to identify by a label. If missing and the total number of observations is less or equal to 10, all observations will be labelled.

…

Optional arguments to be passed to the internal graphical functions.

See Also

Pca-class, PcaClassic, PcaRobust-class.

Examples

# NOT RUN {
require(graphics)

## PCA of the Hawkins Bradu Kass's Artificial Data
##  using all 4 variables
data(hbk)
pca <- PcaHubert(hbk)
pca
pca.scoreplot(pca)
# }