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This is the development version of randRotation; for the stable release version, see randRotation.

Random Rotation Methods for High Dimensional Data with Batch Structure

Bioconductor version: Development (3.20)

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]

Maintainer: Peter Hettegger <p.hettegger at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


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

Random Rotation Package Introduction PDF R Script
Reference Manual PDF


biocViews BatchEffect, BiomedicalInformatics, DifferentialExpression, GeneExpression, Genetics, MicroRNAArray, Microarray, Normalization, Preprocessing, RNASeq, Sequencing, Software, StatisticalMethod
Version 1.17.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License GPL-3
Imports methods, graphics, utils, stats, Rdpack (>= 0.7)
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Suggests knitr, BiocParallel, lme4, nlme, rmarkdown, BiocStyle, testthat (>= 2.1.0), limma, sva
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Follow Installation instructions to use this package in your R session.

Source Package randRotation_1.17.0.tar.gz
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macOS Binary (x86_64) randRotation_1.17.0.tgz
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