Package: FactoClass 1.2.9

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. In order to permit 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.

Authors:Campo Elias Pardo <[email protected]>, Pedro Cesar del Campo <[email protected]> and Camilo Jose Torres <[email protected]>, with the contributions from. Ivan Diaz <[email protected]>, Mauricio Sadinle <[email protected]>, Jhonathan Medina <[email protected]>.

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FactoClass.pdf |FactoClass.html
FactoClass/json (API)

# Install 'FactoClass' in R:
install.packages('FactoClass', repos = c('https://cepardot.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • Bogota - Localities by Stratums in Bogota City
  • ColorAdjective - Associations between colors and adjectives.
  • DogBreeds - Dog Breeds
  • Vietnam - Student opinions about the Vietnam War
  • Whisky - Whisky example
  • admi - Admitted students to the seven careers of the Science Faculty
  • cafe - Cofee cups
  • icfes08 - Departmenst by Levels of Schools in Colombia

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.21 score 163 scripts 856 downloads 1 mentions 27 exports 37 dependencies

Last updated 1 years agofrom:b5e7166e71. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 17 2025
R-4.5-win-x86_64OKMar 17 2025
R-4.5-mac-x86_64OKMar 17 2025
R-4.5-mac-aarch64OKMar 17 2025
R-4.5-linux-x86_64OKMar 17 2025
R-4.4-win-x86_64OKMar 17 2025
R-4.4-mac-x86_64OKMar 17 2025
R-4.4-mac-aarch64OKMar 17 2025
R-4.4-linux-x86_64OKMar 17 2025
R-4.3-win-x86_64OKMar 17 2025
R-4.3-mac-x86_64OKMar 17 2025
R-4.3-mac-aarch64OKMar 17 2025

Exports:addgrids3danalisis.cluscentroidschisq.caraccluster.caracdudi.texFac.NumFactoClassFactoClass.texkmeansWkmnswlatexlatexDFlist.to.dataplot.dudiplotccplotctplotFactoClassplotfpplotpairsprint.FactoClassprint.FactoClass.texroundDFstableclussupqualsutil.gridward.cluster

Dependencies:ade4clicolorspacefansifarverggplot2ggrepelgluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpixmappkgconfigR6RColorBrewerRcppRcppArmadillorlangscalesscatterplot3dsptibbleutf8vctrsviridisLitewithrxtable