toplist                 package:CMA                 R Documentation

_D_i_s_p_l_a_y  '_t_o_p' _v_a_r_i_a_b_l_e_s

_D_e_s_c_r_i_p_t_i_o_n:

     This is a convenient method to get quick access to the most
     important variables, based on the result of call to
     'GeneSelection'.

_U_s_a_g_e:

     toplist(object, k = 10, iter = 1, show = TRUE, ...)

_A_r_g_u_m_e_n_t_s:

  object: An object of 'genesel'.

       k: Number of top genes for which information should be
          displayed. Defaults to 10.

    iter: teration number ('learningset') for which tuning results
          should be displayed.

    show: Should the results be printed ? Default is 'TRUE'.

     ...: Currently unused argument.

_V_a_l_u_e:

     The type of output depends on the gene selection scheme. For the
     multiclass case, if gene selection has been run with the
     '"pairwise"' or '"one-vs-all"' scheme, then the output will be a
     list of 'data.frames', each containing the gene indices plus
     variable importance for the top 'k' genes. The list elements are
     named according to the binary scenarios (e.g., '1 vs. 3').
     Otherwise, a single 'data.frame' is returned.

_A_u_t_h_o_r(_s):

     Martin Slawski martin.slawski@campus.lmu.de

     Anne-Laure Boulesteix <URL: http://www.slcmsr.net/boulesteix>

_S_e_e _A_l_s_o:

     'genesel', 'GeneSelection', 'plot,genesel-method'

