To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("msmsEDA")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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:
source("http://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")
    
| R Script | msmsEDA: Batch effects detection in LC-MSMS experiments | |
| Reference Manual | 
| biocViews | MassSpectrometry, Proteomics, Software | 
| Version | 1.0.0 | 
| In Bioconductor since | BioC 2.13 (R-3.0) | 
| License | GPL-2 | 
| Depends | R (>= 3.0.1), MSnbase | 
| Imports | MASS, gplots, RColorBrewer | 
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | msmsTests | 
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | msmsEDA_1.0.0.tar.gz | 
| Windows Binary | msmsEDA_1.0.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | msmsEDA_1.0.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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