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To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("factDesign")
In most cases, you don't need to download the package archive at all.
factDesign
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Factorial designed microarray experiment analysis
Bioconductor version: Release (3.5)
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:
## try http:// if https:// URLs are not supported
source("https://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")
| R Script | factDesign | |
| Reference Manual |
Details
| biocViews | DifferentialExpression, Microarray, Software |
| Version | 1.52.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 12.5 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 |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | factDesign_1.52.0.tar.gz |
| Windows Binary | factDesign_1.52.0.zip |
| Mac OS X 10.11 (El Capitan) | factDesign_1.52.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/factDesign |
| Package Short Url | http://bioconductor.org/packages/factDesign/ |
| Package Downloads Report | Download Stats |
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