AFDM               package:FactoMineR               R Documentation

_M_u_l_t_i_p_l_e _F_a_c_t_o_r _A_n_a_l_y_s_i_s _f_o_r _M_i_x_e_d _D_a_t_a

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

     Performs Multiple Factor Analysis with both quantitative and
     qualitative data.

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

     AFDM (base, type, ncp = 5, graph = TRUE, sup.var = NULL, 
         ind.sup = NULL)

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

    base: a data frame with _n_ rows (individuals) and _p_ columns

    type: a vector indicating the type of each variable (the length of
          'type' must be equal  to the number of columns of X

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

   graph: boolean, if TRUE a graph is displayed

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

 sup.var: a vector indicating the indexes of the supplementary
          variables

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

     Returns a list including: 

     eig: a numeric vector containing all the eigenvalues

link.group: 

   group: 

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

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

quanti.var: a list of matrices with all the results for the
          quantitative variables (coordinates, correlation, square
          cosine, contributions)

    call: a list with some statistics


     Returns the individuals factor map.

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

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

_R_e_f_e_r_e_n_c_e_s:

     Pags J. (2004). Analyse factorielle de donnes mixtes. Revue
     Statistique Applique.  LII (4). pp. 93-111.

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

     'print.AFDM', 'plot.AFDM'

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

     data(wine)
     res.afdm = AFDM(wine[,c(1,2,30,31)],type=c("n","n","s","s"))

