PCA.GENES {NOISeq}R Documentation

Principal Component Analysis

Description

Computes a Principal Component Analysis on any data matrix.

Usage

PCA.GENES(X)

Arguments

X

Matrix or data.frame with variables (e.g. genes) in columns and observations (e.g. samples) in rows.

Author(s)

Maria Jose Nueda

Examples


	## Simulate data matrix with 500 variables and 10 observations
	datasim = matrix(sample(0:100, 5000, replace = TRUE), nrow = 10)

	## PCA
	myPCA = PCA.GENES(datasim)

	## Extracting the variance explained by each principal component
	myPCA$var.exp


[Package NOISeq version 2.37.0 Index]