To install this package, start R and enter:

## try http if https is not available
source("https://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: 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")):

To install this package, start R and enter:

## try http if https is not available
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	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

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)
Git 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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