apply.pca {CNVtools}R Documentation

Applies to the data a principal component analysis

Description

A simple wrapper around the R function prcomp.

Usage

apply.pca(matrix.signal)

Arguments

matrix.signal

A matrix containing the raw calls. The rows are the samples and the columns are the SNPs.

Value

A one dimensional vector, one value per sample: this is the first principal component.

Note

The output vector is normalized to have a standard deviation of 1.

Author(s)

Vincent Plagnol vincent.plagnol@cimr.cam.ac.uk and Chris Barnes christopher.barnes@imperial.ac.uk

See Also

prcomp


[Package CNVtools version 1.74.0 Index]