Description Usage Arguments Value Author(s) See Also Examples
Sample and variable representation on a same graph for Principal Component Analysis (PCA)
1 | plotBiplot(acp, ...)
|
acp |
result from PCA or do.pca function |
... |
Arguments to be passed to methods, such as graphical parameters (see 'par'). |
Plot of samples and variables on a same graph
Nicolas Servant, Eleonore Gravier, Pierre Gestraud, Cecile Laurent, Caroline Paccard, Anne Biton, Jonas Mandel, Bernard Asselain, Emmanuel Barillot, Philippe Hupe
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## Not run:
data(marty)
## PCA on sample
## example dataset
example.subset <- marty[1:100,1:100]
pca <- runPCA(t(example.subset), verbose = FALSE, plotSample = FALSE,
plotInertia = FALSE)
## Biplot of PCA object
plotBiplot(pca)
## End(Not run)
|
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