To install this package, start R and enter:

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

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

rain

Rhythmicity Analysis Incorporating Non-parametric Methods

Bioconductor version: 3.0

This package uses non-parametric methods to detect rhythms in time series. It deals with outliers, missing values and is optimized for time series comprising 10-100 measurements. As it does not assume expect any distinct waveform it is optimal or detecting oscillating behavior (e.g. circadian or cell cycle) in e.g. genome- or proteome-wide biological measurements such as: micro arrays, proteome mass spectrometry, or metabolome measurements.

Author: Paul F. Thaben, Pål O. Westermark

Maintainer: Paul F. Thaben <paul.thaben at charite.de>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("rain")

 

PDF R Script Rain Usage
PDF   Reference Manual
Text   NEWS

Details

biocViews Genetics, Microarray, MultipleComparison, Proteomics, Software, SystemsBiology, TimeCourse
Version 1.0.1
In Bioconductor since BioC 3.0 (R-3.1)
License GPL-2
Depends R (>= 2.10), gmp, multtest
Imports
LinkingTo
Suggests lattice, BiocStyle
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 rain_1.0.1.tar.gz
Windows Binary rain_1.0.1.zip
Mac OS X 10.6 (Snow Leopard) rain_1.0.1.tgz
Mac OS X 10.9 (Mavericks) rain_1.0.1.tgz
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