Combination of Factorial Methods and Cluster Analysis R package FactoClass version 1.2.9 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. Software Depends: R (>= 2.10), ade4,ggplot2,ggrepel,xtable,scatterplot3d Imports: KernSmooth Campo Elias Pardo <cepardot@unal.edu.co> Comprehensive R Archive Network (CRAN) Campo Elias Pardo <cepardot@unal.edu.co>, Pedro Cesar del Campo <pcdelcampon@unal.edu.co> and Camilo Jose Torres <cjtorresj@unal.edu.co>, with the contributions from. Ivan Diaz <ildiazm@unal.edu.co>, Mauricio Sadinle <msadinleg@unal.edu.co>, Jhonathan Medina <jmedinau@unal.edu.co>. GPL (>= 2) 2024-01-31 application/tgz https://CRAN.R-project.org/package=FactoClass doi:10.32614/CRAN.package.FactoClass