learningsets-class            package:CMA            R Documentation

"_l_e_a_r_n_i_n_g_s_e_t_s"

_D_e_s_c_r_i_p_t_i_o_n:

     An object returned from 'GenerateLearningsets' which is usually
     passed as arguments to 'GeneSelection', 'tune' and
     'classification'.

_S_l_o_t_s:


     '_l_e_a_r_n_m_a_t_r_i_x': A matrix of dimension 'niter x ntrain'. Each row
          contains the indices of those observations representing the
          learningset for one iteration. If 'method = CV', zeros appear
          due to rounding issues.

     '_m_e_t_h_o_d': The method used to generate the 'learnmatrix',
          s.'GenerateLearningsets'

     '_n_t_r_a_i_n': Number of observations in one learning set.If 'method =
          CV', this number is not attained for all iterations, due to
          rounding issues.

     '_i_t_e_r': Number of iterations (different learningsets) that are
          stored in 'learnmatrix'.

_M_e_t_h_o_d_s:


   _s_h_o_w Use 'show(learningsets-object)' for brief information.

_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:

     'GenerateLearningsets', 'GeneSelection', 'tune', 'classification'

