To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("bioassayR")

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

bioassayR

This package is for version 2.14 of Bioconductor; for the stable, up-to-date release version, see bioassayR.

R library for Bioactivity analysis

Bioconductor version: 2.14

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")):

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("bioassayR")

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

browseVignettes("bioassayR")

biocViews	CellBasedAssays, DataImport, Infrastructure, MicrotitrePlateAssay, Proteomics, Software, Visualization
Version	1.2.0
In Bioconductor since	BioC 2.13 (R-3.0) (2.5 years)
License	Artistic-2.0
Depends	R (>= 3.0.1), DBI, RSQLite, methods
Imports	XML
LinkingTo
Suggests	BiocStyle, RCurl, ape, ChemmineR
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	bioassayR_1.2.0.tar.gz
Windows Binary	bioassayR_1.2.0.zip
Mac OS X 10.6 (Snow Leopard)	bioassayR_1.2.0.tgz
Mac OS X 10.9 (Mavericks)	bioassayR_1.2.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/bioassayR/tree/release-2.14
Package Short Url	http://bioconductor.org/packages/bioassayR/
Package Downloads Report	Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Please read the posting guide. Post questions about Bioconductor to one of the following locations: