plot                   package:CMA                   R Documentation

_P_r_o_b_a_b_i_l_i_t_y _p_l_o_t

_D_e_s_c_r_i_p_t_i_o_n:

     A popular way of visualizing the output of classifier is to plot,
     separately for each class, the predicted probability of each
     predicted observations for the respective class. For this purpose,
     the plot area is divided into 'K' parts, where 'K' is the number
     of classes. Predicted observations are assigned, according to
     their true class, to one of those parts. Then, for each part and
     each predicted observation, the predicted probabilities are
     plotted, displayed by coloured dots, where each colour corresponds
     to one class.

_A_r_g_u_m_e_n_t_s:

       x: An object of class 'cloutput' whose slot 'probmatrix' does
          not contain any missing value, i.e. probability estimations
          are provided by the classifier.

    main: A title for the plot (character).

_V_a_l_u_e:

     No return.

_N_o_t_e:

     The plot usually only makes sense if a sufficiently large numbers
     of observations has been classified. This is usually achieved by
     running the classifier on several 'learningsets' with the method
     'classification'. The output can then be processed via 'join' to
     obtain an object of class 'cloutput' to which this method can be
     applied.

_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:

     'cloutput'

