CRAN/E | FactoClass

FactoClass

Combination of Factorial Methods and Cluster Analysis

Installation

About

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.

Key Metrics

Version 1.2.8
R ≥ 2.10
Published 2023-09-14 224 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Campo Elias Pardo

cepardot@unal.edu.co

Authors

Campo Elias Pardo
Pedro Cesar del Campo
Camilo Jose Torres
with the contributions from. Ivan Diaz
Mauricio Sadinle
Jhonathan Medina.

Material

Reference manual
Package source

In Views

Cluster

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

FactoClass archive

Depends

R ≥ 2.10
ade4
ggplot2
ggrepel
xtable
scatterplot3d

Imports

KernSmooth

Reverse Depends

qha

Reverse Imports

fastLink

Reverse Suggests

kselection