FactoClass: Combination of Factorial Methods and Cluster Analysis

Some functions of 'ade4' and 'stats' are combined in order to obtain a partition of the rows of a data table, with columns representing variables of scales: quantitative, qualitative or frequency. First, a principal axes method is performed and then, a combination of Ward agglomerative hierarchical classification and K-means is performed, using some of the first coordinates obtained from the previous principal axes method. See, for example: Lebart, L. and Piron, M. and Morineau, A. (2006). Statistique Exploratoire Multidimensionnelle, Dunod, Paris. In order to permit to have different weights of the elements to be clustered, the function 'kmeansW', programmed in C++, is included. It is a modification of 'kmeans'. Some graphical functions include the option: 'gg=FALSE'. When 'gg=TRUE', they use the 'ggplot2' and 'ggrepel' packages to avoid the super-position of the labels.

Version: 1.2.7
Depends: R (≥ 2.10), ade4, ggplot2, ggrepel, xtable, scatterplot3d
Imports: KernSmooth
Published: 2018-10-01
Author: Campo Elias Pardo, Pedro Cesar del Campo and Camilo Jose Torres, with the contributions from. Ivan Diaz, Mauricio Sadinle, Jhonathan Medina.
Maintainer: Campo Elias Pardo <cepardot at unal.edu.co>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: FactoClass citation info
In views: Cluster
CRAN checks: FactoClass results


Reference manual: FactoClass.pdf
Package source: FactoClass_1.2.7.tar.gz
Windows binaries: r-devel: FactoClass_1.2.7.zip, r-release: FactoClass_1.2.7.zip, r-oldrel: FactoClass_1.2.7.zip
OS X binaries: r-release: FactoClass_1.2.7.tgz, r-oldrel: FactoClass_1.2.7.tgz
Old sources: FactoClass archive

Reverse dependencies:

Reverse depends: pamctdp, qha
Reverse imports: fastLink
Reverse suggests: kselection


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