To install this package, start R and enter:

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

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

msmsEDA

This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see msmsEDA.

Exploratory Data Analysis of LC-MS/MS data by spectral counts

Bioconductor version: 3.1

Exploratory data analysis to assess the quality of a set of LC-MS/MS experiments, and visualize de influence of the involved factors.

Author: Josep Gregori, Alex Sanchez, and Josep Villanueva

Maintainer: Josep Gregori <josep.gregori at gmail.com>

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

To install this package, start R and enter:

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

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

browseVignettes("msmsEDA")

PDF	R Script	msmsEDA: Batch effects detection in LC-MSMS experiments
PDF		Reference Manual

biocViews	MassSpectrometry, Proteomics, Software
Version	1.6.0
In Bioconductor since	BioC 2.13 (R-3.0) (2.5 years)
License	GPL-2
Depends	R (>= 3.0.1), MSnbase
Imports	MASS, gplots, RColorBrewer
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me	msmsTests
Imports Me
Suggests Me	RforProteomics
Build Report

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

Package Source	msmsEDA_1.6.0.tar.gz
Windows Binary	msmsEDA_1.6.0.zip
Mac OS X 10.6 (Snow Leopard)	msmsEDA_1.6.0.tgz
Mac OS X 10.9 (Mavericks)	msmsEDA_1.6.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/msmsEDA/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/msmsEDA/
Package Downloads Report	Download Stats

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