MCA                package:FactoMineR                R Documentation

_M_u_l_t_i_p_l_e _C_o_r_r_e_s_p_o_n_d_e_n_c_e _A_n_a_l_y_s_i_s (_M_C_A)

_D_e_s_c_r_i_p_t_i_o_n:

     Performs Multiple Correspondence Analysis (MCA) with supplementary
     individuals, supplementary quantitative  variables and
     supplementary qualitative variables.

_U_s_a_g_e:

     MCA(X, ncp = 5, ind.sup = NULL, quanti.sup = NULL, 
         quali.sup = NULL, graph = TRUE)

_A_r_g_u_m_e_n_t_s:

       X: a data frame with _n_ rows (individuals) and _p_ columns
          (categorical variables)

     ncp: number of dimensions kept in the results (by default 5)

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

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

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

   graph: boolean, if TRUE a graph is displayed

_V_a_l_u_e:

     Returns a list including: 

     eig: a numeric vector containing all the eigenvalues

     var: a list of matrices containing all the results for the active
          variables (coordinates, square cosine, contributions, v.test)

     ind: a list of matrices containing all the results for the active
          individuals (coordinates, square cosine, contributions)

 ind.sup: a list of matrices containing all the results for the
          supplementary individuals (coordinates, square cosine)

quanti.sup: a matrix containing the coordinates of the supplementary
          quantitative variables (the correlation between a variable
          and an axis is equal to the variable coordinate on the axis)

quali.sup: a list of matrices with all the results for the
          supplementary qualitative variables (coordinates of each
          categories of each variables, square cosine and v.test which
          is a criterion with a Normal distribution)

    call: a list with some statistics


     Returns the individuals factor map and the variables factor map.

_A_u_t_h_o_r(_s):

     Jrmy Mazet, Franois Husson Franois.Husson@agrocampus-rennes.fr

_S_e_e _A_l_s_o:

     'print.MCA', 'plot.MCA'

_E_x_a_m_p_l_e_s:

     data (poison)
     MCA (poison, quali.sup = 3:4, quanti.sup = 1:2)

