To install this package, start R and enter:

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

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

maCorrPlot

DOI: 10.18129/B9.bioc.maCorrPlot    

Visualize artificial correlation in microarray data

Bioconductor version: Release (3.5)

Graphically displays correlation in microarray data that is due to insufficient normalization

Author: Alexander Ploner <Alexander.Ploner at ki.se>

Maintainer: Alexander Ploner <Alexander.Ploner at ki.se>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("maCorrPlot")

 

PDF R Script maCorrPlot Introduction
PDF   Reference Manual

Details

biocViews Microarray, Preprocessing, Software, Visualization
Version 1.46.0
In Bioconductor since BioC 1.8 (R-2.3) (11.5 years)
License GPL (>= 2)
Depends lattice
Imports graphics, grDevices, lattice, stats
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://www.pubmedcentral.gov/articlerender.fcgi?tool=pubmed&pubmedid=15799785
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package maCorrPlot_1.46.0.tar.gz
Windows Binary maCorrPlot_1.46.0.zip
Mac OS X 10.11 (El Capitan) maCorrPlot_1.46.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/maCorrPlot
Package Short Url http://bioconductor.org/packages/maCorrPlot/
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