ENlisib               package:EnQuireR               R Documentation

_G_r_a_p_h _r_e_a_d_a_b_i_l_i_t_y

_D_e_s_c_r_i_p_t_i_o_n:

     This function allows to improve the MCA factor map readability.

_U_s_a_g_e:

     ENlisib(res.mca,nbvar,nbind,axes=c(1,2))

_A_r_g_u_m_e_n_t_s:

 res.mca: results from an MCA

   nbvar: chosen percentage or number for categories

   nbind: chosen percentage or number for individuals

    axes: selected axes, by default the two first axes are selected

_D_e_t_a_i_l_s:

     Categories with high v-test and individuals with high coordinates
     are kept. The chosen number and percentage concern individuals and
     categories beyond a threshold.

_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])
     ENlisib(res.enmca$MCA,0.05,50,c(1,2))

     res<-MCA(tea[,1:18])
     ENlisib(res,0.05,50,c(1,2))
     ## End(Not run)

