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 (3.0)

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 1.4.0
In Bioconductor since BioC 2.13 (R-3.0)
License Artistic-2.0
Depends R (>= 3.1.0), DBI, RSQLite, methods, Matrix, rjson
Imports XML
Suggests BiocStyle, RCurl, ape, ChemmineR
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source bioassayR_1.4.0.tar.gz
Windows Binary bioassayR_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) bioassayR_1.4.0.tgz
Mac OS X 10.9 (Mavericks) bioassayR_1.4.0.tgz
Browse/checkout source (username/password: readonly)
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