pmfa               package:SensoMineR               R Documentation

_P_r_o_c_r_u_s_t_e_a_n _M_u_l_t_i_p_l_e _F_a_c_t_o_r _A_n_a_l_y_s_i_s (_P_M_F_A)

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

     Performs Multiple Factor Analysis combined with Procrustean
     Analysis.

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

     pmfa(matrice, matrice.illu = NULL, mean.conf = NULL, dilat = TRUE,
           graph.ind = TRUE, lim = c(60,40), coord = c(1,2), cex = 0.8)

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

 matrice: a data frame of dimension (_p,2j_), where _p_ represents the
          number  of products and _j_ the number of panelists

matrice.illu: a data frame with illustrative variables (with the same
          row.names in common as in 'matrice')

mean.conf: coordinates of the average configuration (by default NULL,
          the average configuration is generated by MFA)

   dilat: boolean, if TRUE (which is the default value) the Morand's
          dilatation is used

graph.ind: boolean, if TRUE (which is the default value) superimposes
          each panelist's configuration on the average configuration

     lim: size of the tablecothe

   coord: a length 2 vector specifying the components to plot

     cex: cf. function 'par' in the 'graphics' package

_D_e_t_a_i_l_s:

     Performs first Multiple Factor Analysis on the tableclothes, then
     GPA in order to superimpose as well as possible panelist's
     configuration on the average configuration obtained by MFA (in the
     case where 'mean.conf' is NULL). If 'mean.conf' is not NULL the
     configuration used is the one input by the user.

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

     Returns the RV coefficient between each individual configuration
     and the consensus. 
      If 'mean.conf' is NULL, returns the usual graphs resulting from
     the MFA function: the graph of the individuals and their partial
     representations, the graph of the variables (i.e. the coordinates
     of the products given by each panelist). 
      If 'mean.conf' is not NULL returns the configuration input by the
     user. 
      When 'matrice.illu' is not NULL, returns a graph of illustrative
     variables. 
      Returns as many superimposed representations of individual
     configurations as there are panelists.

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

     Franois Husson, Sbastien L

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

     Morand, E., Pags, J. (accepted) Procrustes multiple factor
     analysis to analyze the overall perception of food products. _Food
     Quality and Preference_

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

     'MFA', 'nappeplot', 'indscal'

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

     ## Not run: 
     data(napping)
     nappeplot(napping.don)
     get(getOption("device"))()
     pmfa(napping.don, napping.words)
     ## End(Not run)

