pca.scoreplot | R Documentation |
Produces a score plot from an object (derived from) Pca-class
.
pca.scoreplot(obj, i=1, j=2, main, id.n, ...)
obj |
an object of class (derived from) |
i |
First score coordinate, defaults to |
j |
Second score coordinate, defaults to |
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. |
Valentin Todorov valentin.todorov@chello.at
Pca-class
,
PcaClassic
,
PcaRobust-class
.
require(graphics)
## PCA of the Hawkins Bradu Kass's Artificial Data
## using all 4 variables
data(hbk)
pca <- PcaHubert(hbk)
pca
pca.scoreplot(pca)
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