plotInertia: Barplot of component inertia percentage for PCA
In EMA: Easy Microarray Data Analysis

Description Usage Arguments Value Author(s) See Also Examples

Barplot of component inertia percentage for Principal Component Analysis (PCA)

1	plotInertia(acp, ncp = 5, ...)

`acp`	result from do.pca or PCA function
`ncp`	number of components displayed, by default 5
`...`	Arguments to be passed to methods, such as graphical parameters (see 'par').

Barplot of component inertia percentage

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

runPCA,PCA

data(marty)

## PCA on sample - example set
example.subset <- marty[1:100,]
pca <- runPCA(t(example.subset), verbose = FALSE, plotInertia = FALSE, plotSample = FALSE)

## Inertia plot of PCA object
plotInertia(pca)