To install this package, start R and enter:

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

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

quantro

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

A test for when to use quantile normalization

Bioconductor version: 3.1

A data-driven test for the assumptions of quantile normalization using raw data such as objects that inherit eSets (e.g. ExpressionSet, MethylSet). Group level information about each sample (such as Tumor / Normal status) must also be provided because the test assesses if there are global differences in the distributions between the user-defined groups.

Author: Stephanie Hicks and Rafael Irizarry

Maintainer: Stephanie Hicks <shicks at jimmy.harvard.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("quantro")
PDF R Script The quantro user's guide
PDF Reference Manual
Text NEWS

Details

biocViews Microarray, MultipleComparison, Normalization, Preprocessing, Sequencing, Software
Version 1.2.0
In Bioconductor since BioC 3.0 (R-3.1) (1.5 years)
License GPL (>=3)
Depends R (>= 3.1.3)
Imports Biobase, minfi, doParallel, foreach, iterators, ggplot2, methods, RColorBrewer
LinkingTo
Suggests knitr, RUnit, BiocGenerics, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Package Source quantro_1.2.0.tar.gz
Windows Binary quantro_1.2.0.zip
Mac OS X 10.6 (Snow Leopard) quantro_1.2.0.tgz
Mac OS X 10.9 (Mavericks) quantro_1.2.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/quantro/tree/release-3.1
Package Short Url http://bioconductor.org/packages/quantro/
Package Downloads Report Download Stats

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