CluMix: Clustering and Visualization of Mixed-Type Data

Provides utilities for clustering subjects and variables of mixed data types. Similarities between subjects are measured by Gower's general similarity coefficient with an extension of Podani for ordinal variables. Similarities between variables are assessed by combination of appropriate measures of association for different pairs of data types. Alternatively, variables can also be clustered by the 'ClustOfVar' approach. The main feature of the package is the generation of a mixed-data heatmap. For visualizing similarities between either subjects or variables, a heatmap of the corresponding distance matrix can be drawn. Associations between variables can be explored by a 'confounderPlot', which allows visual detection of possible confounding, collinear, or surrogate factors for some variables of primary interest. Distance matrices and dendrograms for subjects and variables can be derived and used for further visualizations and applications. This work was supported by BMBF grant 01ZX1609B, Germany.

Version: 2.0
Imports: ClustOfVar, Hmisc, DescTools, extracat, marray, FD, gplots, Matrix, Biobase
Suggests: devtools, dendextend
Published: 2017-05-16
Author: M. Hummel, D. Edelmann, A. Kopp-Schneider
Maintainer: Manuela Hummel <m.hummel at dkfz.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: CluMix results

Downloads:

Reference manual: CluMix.pdf
Vignettes: CluMix
Package source: CluMix_2.0.tar.gz
Windows binaries: r-devel: CluMix_2.0.zip, r-release: CluMix_2.0.zip, r-oldrel: CluMix_2.0.zip
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: CluMix_2.0.tgz
Old sources: CluMix archive

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