To install this package, start R and enter:

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

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

ClusterSignificance

   

This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see ClusterSignificance.

Investigates Significance of Clusters by Reducing the Data to One Dimension to be Able to Easy Set a Score for the Separation, and a p-Value is then Calculated from Permutations of the Original Data

Bioconductor version: 3.3

The ClusterSignificance package provides tools to assess if clusters have a separation different from random or permuted data. ClusterSignificance investigates clusters of two or more groups by first, projecting all points onto a one dimensional line. Cluster separations are then scored and the probability of the seen separation being due to chance is evaluated using a permutation method.

Author: Jason T. Serviss and Jesper R. Gadin

Maintainer: Jason T Serviss <jason.serviss at ki.se>

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

Installation

To install this package, start R and enter:

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

Documentation

HTML R Script ClusterSignificance Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews Classification, Clustering, PrincipalComponent, Software, StatisticalMethod
Version 1.0.3
In Bioconductor since BioC 3.3 (R-3.3) (< 6 months)
License GPL-3
Depends R (>= 3.3.0)
Imports methods, pracma, princurve, scatterplot3d, RColorBrewer, grDevices, graphics, utils
LinkingTo
Suggests knitr, rmarkdown, testthat, BiocStyle, ggplot2, plsgenomics
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 ClusterSignificance_1.0.3.tar.gz
Windows Binary ClusterSignificance_1.0.3.zip
Mac OS X 10.9 (Mavericks) ClusterSignificance_1.0.3.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/ClusterSignificance/tree/release-3.3
Package Short Url http://bioconductor.org/packages/ClusterSignificance/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

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