Package: FactoClass
Version: 1.2.7
Date: 2018-09-30
Title: Combination of Factorial Methods and Cluster Analysis
Author: 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>.
Maintainer: Campo Elias Pardo <cepardot@unal.edu.co>
Depends: R (>= 2.10), ade4,ggplot2,ggrepel,xtable,scatterplot3d
Imports: KernSmooth
Description: 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.   
License: GPL (>= 2)
Encoding: latin1
NeedsCompilation: yes
Packaged: 2018-09-30 20:01:34 UTC; uncepardot
Repository: CRAN
Date/Publication: 2018-10-01 04:50:02 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 13:48:31 UTC; windows
Archs: i386, x64
