plotBiplot: Sample and variable representation on a same graph for PCA

Description Usage Arguments Value Author(s) See Also Examples

View source: R/pca.R

Description

Sample and variable representation on a same graph for Principal Component Analysis (PCA)

Usage

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Arguments

acp

result from PCA or do.pca function

...

Arguments to be passed to methods, such as graphical parameters (see 'par').

Value

Plot of samples and variables on a same graph

Author(s)

Nicolas Servant, Eleonore Gravier, Pierre Gestraud, Cecile Laurent, Caroline Paccard, Anne Biton, Jonas Mandel, Bernard Asselain, Emmanuel Barillot, Philippe Hupe

See Also

runPCA,PCA

Examples

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## 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)

EMA documentation built on March 26, 2020, 8:40 p.m.