To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

factDesign

Factorial designed microarray experiment analysis

Bioconductor version: 3.0

This package provides a set of tools for analyzing data from a factorial designed microarray experiment, or any microarray experiment for which a linear model is appropriate. The functions can be used to evaluate tests of contrast of biological interest and perform single outlier detection.

Author: Denise Scholtens

Maintainer: Denise Scholtens <dscholtens at northwestern.edu>

Citation (from within R, enter citation("factDesign")):

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("factDesign")

PDF	R Script	factDesign
PDF		Reference Manual

Details

biocViews	DifferentialExpression, Microarray, Software
Version	1.42.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier
License	LGPL
Depends	Biobase(>= 2.5.5)
Imports	stats
LinkingTo
Suggests	affy, genefilter, multtest
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source	factDesign_1.42.0.tar.gz
Windows Binary	factDesign_1.42.0.zip
Mac OS X 10.6 (Snow Leopard)	factDesign_1.42.0.tgz
Mac OS X 10.9 (Mavericks)	factDesign_1.42.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats

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