randRotation-package {randRotation} | R Documentation

## randRotation: Random Rotation Methods for High Dimensional Data with Batch Structure

### Description

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 (also non-linear) batch effect correction methods.

### Details

Please refer to the package vignette for further details on usage and for a "quick start". `rotateStat` is the central function of the package. Methods are described in (Hettegger et al. 2021).

### Author(s)

Maintainer: Peter Hettegger p.hettegger@gmail.com (ORCID)

### References

Hettegger P, Vierlinger K, Weinhaeusel A (2021). “Random rotation for identifying differentially expressed genes with linear models following batch effect correction.” Bioinformatics. ISSN 1367-4803, doi: 10.1093/bioinformatics/btab063, https://doi.org/10.1093/bioinformatics/btab063.

### See Also

Useful links:

- https://github.com/phettegger/randRotation

- Report bugs at https://github.com/phettegger/randRotation/issues

[Package randRotation version 1.2.2 Index]