To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("qcmetrics")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
The package provides a framework for generic quality control of data. It permits to create, manage and visualise individual or sets of quality control metrics and generate quality control reports in various formats.
Author: Laurent Gatto
Maintainer: Laurent Gatto <lg390 at cam.ac.uk>
Citation (from within R,
      enter citation("qcmetrics")):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("qcmetrics")
    To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("qcmetrics")
    
| R Script | The 'qcmetrics' infrastructure for quality control and reporting | |
| Reference Manual | ||
| Text | NEWS | 
| biocViews | Bioinformatics, MassSpectrometry, Microarray, Proteomics, QualityControl, Software, Visualisation | 
| Version | 1.0.0 | 
| In Bioconductor since | BioC 2.13 (R-3.0) | 
| License | GPL-2 | 
| Depends | R (>= 2.10) | 
| Imports | Biobase, methods, knitr, tools, Nozzle.R1, xtable, pander | 
| Suggests | affy, MSnbase, ggplot2, lattice, yaqcaffy, MAQCsubsetAFX, RforProteomics, AnnotationDbi, mzR, hgu133plus2cdf | 
| System Requirements | |
| URL | https://github.com/lgatto/qcmetrics | 
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | qcmetrics_1.0.0.tar.gz | 
| Windows Binary | qcmetrics_1.0.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | qcmetrics_1.0.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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