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randRotation

This is the released version of randRotation; for the devel version, see randRotation.

Random Rotation Methods for High Dimensional Data with Batch Structure


Bioconductor version: Release (3.23)

A collection of methods for performing random rotations on high-dimensional, normally distributed data (e.g. microarray or RNA-seq data) with batch structure. The random rotation approach allows exact testing of dependent test statistics with linear models following arbitrary batch effect correction methods.

Author: Peter Hettegger [aut, cre] ORCID iD ORCID: 0000-0001-8557-588X

Maintainer: Peter Hettegger <p.hettegger at gmail.com>

Citation (from within R, enter citation("randRotation")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("randRotation")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("randRotation")
Random Rotation Package Introduction PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews BatchEffect, BiomedicalInformatics, DifferentialExpression, GeneExpression, Genetics, MicroRNAArray, Microarray, Normalization, Preprocessing, RNASeq, Sequencing, Software, StatisticalMethod
Version 1.23.0
In Bioconductor since BioC 3.11 (R-4.0) (6.5 years)
License GPL-3
Depends
Imports methods, graphics, utils, stats, Rdpack (>= 0.7)
System Requirements
URL https://github.com/phettegger/randRotation
Bug Reports https://github.com/phettegger/randRotation/issues
See More
Suggests knitr, BiocParallel, lme4, nlme, rmarkdown, BiocStyle, testthat (>= 2.1.0), limma, sva
Linking To
Enhances
Depends On Me
Imports Me
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Build Report Build Report

Package Archives

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

Source Package randRotation_1.23.0.tar.gz
Windows Binary (x86_64) randRotation_1.23.0.zip
macOS Binary (big-sur-x86_64) randRotation_1.23.0.tgz
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/randRotation
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/randRotation
Bioc Package Browser https://code.bioconductor.org/browse/randRotation/
Package Short Url https://bioconductor.org/packages/randRotation/
Package Downloads Report Download Stats