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 2.28.0 Index]