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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
|
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 | |
| 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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