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

plotBiplot {EMA}

R Documentation

Sample and variable representation on a same graph for PCA

Description

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

Usage

plotBiplot(acp, ...)

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)

EMA group

Examples

## 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)

[Package EMA version 1.3.2 Index]