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 estimation 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. Initiated at the Max-Planck Institute for Molecular Plant Physiology, Golm, Germany. Now developed at CAS-MPG Partner Institute for Computational Biology (PICB) Shanghai, P.R. China and RIKEN Plant Science Center, Yokohama Japan.

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

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

Details

biocViews
Depends
Biobase , MASS , pls , methods , Rcpp
Imports
Suggests
System Requirements Rcpp
License GPL (>= 3)
URL
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package source pcaMethods_1.30.0.tar.gz
Windows 32-bit binary pcaMethods_1.30.0.zip
Windows 64-bit binary pcaMethods_1.30.0.zip
MacOS X 10.5 (Leopard) binary pcaMethods_1.30.0.tgz
Package Downloads Report Downloads Stats