RDRToolbox

DOI: 10.18129/B9.bioc.RDRToolbox    

This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see RDRToolbox.

A package for nonlinear dimension reduction with Isomap and LLE.

Bioconductor version: 3.12

A package for nonlinear dimension reduction using the Isomap and LLE algorithm. It also includes a routine for computing the Davis-Bouldin-Index for cluster validation, a plotting tool and a data generator for microarray gene expression data and for the Swiss Roll dataset.

Author: Christoph Bartenhagen

Maintainer: Christoph Bartenhagen <c.bartenhagen at uni-koeln.de>

Installation

To install this package, start R (version "4.0") and enter:

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

BiocManager::install("RDRToolbox")

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("RDRToolbox")

 

PDF	R Script	A package for nonlinear dimension reduction with Isomap and LLE.
PDF		Reference Manual

Details

biocViews	Clustering, DimensionReduction, FeatureExtraction, Microarray, Software, Visualization
Version	1.40.0
In Bioconductor since	BioC 2.7 (R-2.12) (10.5 years)
License	GPL (>= 2)
Depends	R (>= 2.9.0)
Imports	graphics, grDevices, methods, stats, MASS, rgl
LinkingTo
Suggests	golubEsets
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me	loon, loon.tourr
Links To Me
Build Report

Package Archives

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

Source Package	RDRToolbox_1.40.0.tar.gz
Windows Binary	RDRToolbox_1.40.0.zip
macOS 10.13 (High Sierra)	RDRToolbox_1.40.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/RDRToolbox
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/RDRToolbox
Package Short Url	https://bioconductor.org/packages/RDRToolbox/
Package Downloads Report	Download Stats