To install this package, start R and enter:

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

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

bioassayR

 

R library for Bioactivity analysis

Bioconductor version: Release (3.1)

bioassayR provides tools for statistical analysis of small molecule bioactivity data

Author: Tyler Backman, Ronly Schlenk, Thomas Girke

Maintainer: Tyler Backman <tyler.backman at ucr.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("bioassayR")

 

PDF R Script bioassayR Tutorial
PDF   Reference Manual
Text   NEWS

Details

biocViews Bioinformatics, CellBasedAssays, DataImport, Infrastructure, MicrotitrePlateAssay, Proteomics, Software, Visualization
Version 1.6.1
In Bioconductor since BioC 2.13 (R-3.0) (2 years)
License Artistic-2.0
Depends R (>= 3.1.0), DBI (>= 0.3.1), RSQLite (>= 1.0.0), methods, Matrix, rjson, BiocGenerics(>= 0.13.8)
Imports XML
LinkingTo
Suggests BiocStyle, RCurl, ape, ChemmineR, cellHTS2
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 bioassayR_1.6.1.tar.gz
Windows Binary bioassayR_1.6.1.zip
Mac OS X 10.6 (Snow Leopard) bioassayR_1.6.1.tgz
Mac OS X 10.9 (Mavericks) bioassayR_1.6.1.tgz
Subversion source (username/password: readonly)
GitHub source https://github.com/Bioconductor-mirror/bioassayR/tree/release-3.1
Package Short Url http://bioconductor.org/packages/bioassayR/
Package Downloads Report Download Stats

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