ENMCA                package:EnQuireR                R Documentation

_M_C_A _a_n_d _c_l_u_s_t_e_r _a_n_a_l_y_s_i_s

_D_e_s_c_r_i_p_t_i_o_n:

     This function allows to perform a cluster analysis following a
     MCA.

_U_s_a_g_e:

     ENMCA(dataset,ncp=5,ind.sup = NULL, quanti.sup = NULL, quali.sup = NULL, axes = c(1, 2), row.w = NULL,signif=FALSE,proba=0.05,report=FALSE,language="english")

_A_r_g_u_m_e_n_t_s:

 dataset: current dataset

     ncp: number of dimensions (by fefault, ncp=5)

 ind.sup: a vector indicating the indexes of the supplementary
          individuals

quanti.sup: a vector indicating the indexes of the supplementary
          quantitatives variables

quali.sup: a vector indicating the indexes of the supplementary
          qualitatives variables

    axes: a length 2 vector specifying the components to plot

   row.w: an optional row weights (by default, uniform row weights)

  signif: a logical value. If TRUE, a p-value is associated to the 2
          first dimensions

   proba: Threshold used for the automatic description of the clusters.
          By default, proba=0.05

  report: a logical value. If TRUE, a pdf report is produced using the
          Sweave package

language: a value of c("english","french") which determines the
          language to use for the report

_D_e_t_a_i_l_s:

     If report=TRUE, a directory named "EnQuireR" is created in your
     working directory (which can be known thanks to the getwd()
     function). This directory contains the final pdf report and also
     the teX file used to produce it.

_V_a_l_u_e:

     A list containing the following elements: 

    data: dataset withe the new categorical variable, obtained with the
          cluster analysis

  catdes: result of the catdes of the clusters

     MCA: normal results of an MCA. On the MCA factor map, each cluster
          is displayed in a different colour

_A_u_t_h_o_r(_s):

     Jerome Bouche jerome.bouche@yahoo.fr 
      Marine Cadoret marine.cadoret@agrocampus-ouest.fr 
      Gwenaelle Fournier gwenaelle.fournier@gmail.com 
      Olivier Fournier olivier.fournier76@gmail.com 
      Francois Le Poder francois.lepoder@gmail.com

_E_x_a_m_p_l_e_s:

     ## Not run: 
     data(tea)
     res.enmca=ENMCA(tea[,1:18])
     ## End(Not run)

