pcaMethods

A collection of PCA methods.

Provides Bayesian PCA, Probabilistic PCA, Nipals PCA, Inverse Non-Linear PCA and the conventional SVD PCA. A cluster based method for missing value estimationn is included for comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA on incomplete data as well as for accurate missing value estimation. A set of methods for printing and plotting the results is also provided. All PCA methods make use of the same data structure (pcaRes) to provide a unique interface to the PCA results. Developed at the Max-Planck Institute for Molecular Plant Physiology, Golm, Germany.

Author Wolfram Stacklies, Henning Redestig, Kevin Wright
Maintainer Wolfram Stacklies

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("pcaMethods")

Documentation

Missing value imputation PDF R Script
Data with outliers PDF R Script
Introduction PDF R Script
Reference Manual

Details

biocViews
Depends
Biobase , MASS , pls , methods
Imports
Suggests
System Requirements
License GPL version 2 (or later)
URL
Depends On Me
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Development History Bioconductor Changelog

Package Downloads

Package source pcaMethods_1.22.0.tar.gz
Windows binary pcaMethods_1.22.0.zip
MacOS X 10.4 (Tiger) binary pcaMethods_1.22.0.tgz
MacOS X 10.5 (Leopard) binary pcaMethods_1.22.0.tgz
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