pca {M3C}R Documentation

pca: A principal component analysis function

Description

pca: A principal component analysis function

Usage

pca(mydata, K = FALSE, printres = FALSE, labels = FALSE)

Arguments

mydata

Data frame or matrix or M3C results object: if dataframe/matrix should have samples as columns and rows as features

K

Numerical value: if running on the M3C results object, which value was the optimal K?

printres

Logical flag: whether to print the PCA into current directory

labels

Factor: if we want to just display gender for example

Value

A PCA plot object

Examples

PCA <- pca(mydata)

[Package M3C version 1.2.0 Index]