tableClass            package:maigesPack            R Documentation

_S_a_v_e _H_T_M_L _o_r _C_S_V _t_a_b_l_e_s _o_f _g_o_o_d _c_l_a_s_s_i_f_i_e_r_s (_c_l_i_q_u_e_s)

_D_e_s_c_r_i_p_t_i_o_n:

     This function takes an object of class 'maigesClass' resulting
     from classification analysis and write tables (in HTML or CSV
     format) a table of the cliques, or classifiers.

_U_s_a_g_e:

     tableClass(classComp=NULL, file="./class_result",
                type=c("HTML","CSV")[1], nCliques=NULL)

_A_r_g_u_m_e_n_t_s:

classComp: object of class 'maigesClass'.

    file: character string giving the file name to be saved (without
          extension).

    type: character string with the type of file to be saved. Must be
          'HTML' (default) or 'CSV'.

nCliques: integer specifying the number of cliques to be saved. If NULL
          (default) all cliques in the object are saved.

_V_a_l_u_e:

     This function don't return any object.

_A_u_t_h_o_r(_s):

     Gustavo H. Esteves <gesteves@vision.ime.usp.br>

_S_e_e _A_l_s_o:

     'maigesClass', 'classifyLDA', 'classifySVM', 'classifyKNN',
     'classifyLDAsc', 'classifySVMsc' and 'classifyKNNsc'.

_E_x_a_m_p_l_e_s:

     ## Loading the dataset
     data(gastro)

     ## Doing LDA classifier with 3 genes for the 6th gene group comparing
     ## the 2 categories from 'Type' sample label.
     gastro.class = classifyLDA(gastro.summ, sLabelID="Type",
       gNameID="GeneName", nGenes=3, geneGrp=6)

     tableClass(gastro.class)

