To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("factDesign")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.1
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")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("factDesign")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("factDesign")
R Script | factDesign | |
Reference Manual |
biocViews | DifferentialExpression, Microarray, Software |
Version | 1.44.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 10.5 years) |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | factDesign_1.44.0.tar.gz |
Windows Binary | factDesign_1.44.0.zip |
Mac OS X 10.6 (Snow Leopard) | factDesign_1.44.0.tgz |
Mac OS X 10.9 (Mavericks) | factDesign_1.44.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/factDesign/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/factDesign/ |
Package Downloads Report | Download Stats |
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