Score plot for Principal Components (objects of class 'Pca')
Produces a score plot from an object (derived from) Pca-class.
pca.scoreplot(obj, i=1, j=2, main, id.n=0, ...)
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. Defaults to |
... |
optional arguments to be passed to the internal graphical functions. |
Valentin Todorov valentin.todorov@chello.at
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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