To install this package, start R and enter:

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

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

maCorrPlot

Visualize artificial correlation in microarray data

Bioconductor version: Release (3.0)

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:

source("http://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 1.36.0
In Bioconductor since BioC 1.8 (R-2.3)
License GPL (>= 2)
Depends lattice
Imports graphics, grDevices, lattice, stats
Suggests
System Requirements
URL http://www.pubmedcentral.gov/articlerender.fcgi?tool=pubmed&pubmedid=15799785
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source maCorrPlot_1.36.0.tar.gz
Windows Binary maCorrPlot_1.36.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) maCorrPlot_1.36.0.tgz
Mac OS X 10.9 (Mavericks) maCorrPlot_1.36.0.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center