To install this package, start R and enter:

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

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

biobroom

   

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see biobroom.

Turn Bioconductor objects into tidy data frames

Bioconductor version: 3.2

This package contains methods for converting standard objects constructed by bioinformatics packages, especially those in Bioconductor, and converting them to tidy data. It thus serves as a complement to the broom package, and follows the same the tidy, augment, glance division of tidying methods. Tidying data makes it easy to recombine, reshape and visualize bioinformatics analyses.

Author: David G. Robinson, Andrew J. Bass, Emily Nelson, John D. Storey, with contributions from Laurent Gatto

Maintainer: John D. Storey <jstorey at princeton.edu> and Andrew J. Bass <ajbass at princeton.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("biobroom")

 

HTML biobroom Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews DataImport, DifferentialExpression, GeneExpression, MultipleComparison, Proteomics, Regression, Software
Version 1.2.0
In Bioconductor since BioC 3.2 (R-3.2) (0.5 years)
License LGPL
Depends R (>= 3.0.0), broom
Imports dplyr, tidyr, Biobase
LinkingTo
Suggests limma, DESeq2, airway, ggplot2, plyr, GenomicRanges, edgeR, qvalue, knitr, data.table, MSnbase, SummarizedExperiment
SystemRequirements
Enhances
URL https://github.com/StoreyLab/biobroom
BugReports https://github.com/StoreyLab/biobroom/issues
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source biobroom_1.2.0.tar.gz
Windows Binary biobroom_1.2.0.zip
Mac OS X 10.6 (Snow Leopard) biobroom_1.1.1.tgz
Mac OS X 10.9 (Mavericks) biobroom_1.2.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/biobroom/tree/release-3.2
Package Short Url http://bioconductor.org/packages/biobroom/
Package Downloads Report Download Stats

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