PCAMethods {GeneSelector} | R Documentation

## Principal Components Analysis for different ranking procedures

### Description

Aggregation over different perturbed datasets can be performed using one of the methods beginning with `Aggregate`.
For aggregation with respect to different ranking procedures, principal components analysis is used in the following manner: For each gene, the rankings obtained from, say `K`, procedures are stored in a `p x K` matrix, where `p` is the total number of genes. The different ranking procedures are intepreted as variables.
The first principal component is used to form an aggregated ranking.

### Usage

    PCAMethods(Rlist)

### Arguments

`Rlist` | A list of objects of class GeneRanking.

### Value

An object of class PCAMethodsResult.

### Author(s)

Martin Slawski martin.slawski@campus.lmu.de
Anne-Laure Boulesteix http://www.slcmsr.net/boulesteix

[Package GeneSelector version 1.2.0 Index]