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.

qcmetrics

A Framework for Quality Control

Bioconductor version: Release (3.0)

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")):

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("qcmetrics")

 

PDF R Script The 'qcmetrics' infrastructure for quality control and reporting
PDF   Reference Manual
Text   NEWS

Details

biocViews Bioinformatics, MassSpectrometry, Microarray, Proteomics, QualityControl, ReportWriting, Software, Visualisation
Version 1.4.0
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, S4Vectors
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

Package Archives

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

Package Source qcmetrics_1.4.0.tar.gz
Windows Binary qcmetrics_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) qcmetrics_1.4.0.tgz
Mac OS X 10.9 (Mavericks) qcmetrics_1.4.0.tgz
Browse/checkout source (username/password: readonly)
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