This is the released version of randRotation; for the devel version, see randRotation.
Random Rotation Methods for High Dimensional Data with Batch StructureBioconductor version: Release (3.21)
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: 0000-0001-8557-588X
Maintainer: Peter Hettegger <p.hettegger at gmail.com>
Citation (from within R, entercitation("randRotation")
): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("randRotation")
Details biocViews BatchEffect, BiomedicalInformatics, DifferentialExpression, GeneExpression, Genetics, MicroRNAArray, Microarray, Normalization, Preprocessing, RNASeq, Sequencing, Software, StatisticalMethod Version 1.20.0 In Bioconductor since BioC 3.11 (R-4.0) (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 Package Archives
Follow Installation instructions to use this package in your R session.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4