maigesClass-class         package:maigesPack         R Documentation

_m_a_i_g_e_s_C_l_a_s_s _c_l_a_s_s, _s_t_o_r_e _r_e_s_u_l_t_s _o_f _d_i_s_c_r_i_m_i_n_a_t_i_o_n (_o_r _c_l_a_s_s_i_f_i_c_a_t_i_o_n) _a_n_a_l_y_s_i_s

_D_e_s_c_r_i_p_t_i_o_n:

     This class defines a structure to store the results from
     discrimination analysis. This type of analysis can be done using
     the functions 'classifyLDA', 'classifySVM', 'classifyKNN',
     'classifyLDAsc', 'classifySVMsc' or 'classifyKNNsc'.

_D_e_t_a_i_l_s:

     Objects of this class are produced by calling the functions
     'classifyLDA', 'classifySVM', 'classifyKNN', 'classifyLDAsc',
     'classifySVMsc' or 'classifyKNNsc' over an object of class
     'maiges' to search for cliques satisfying the criteria specified
     for classification.

_S_l_o_t_s:


     '_W': numeric matrix giving the W values of the genes tested. This
          information is useful for doing plots of the cliques.

     '_C_V': numeric vector that store the number of correct
          classifications in the leave-one-out cross validation
          procedure.

     '_S_V_D': numeric vector that store the singular value decomposition
          from Fisher linear discriminant analysis.

     '_c_l_i_q_u_e_s': character matrix that gives the genes that constitute
          the cliques returned. The rows of the matrix represent the
          cliques while the columns represent the genes that form the
          clique.

     '_c_l_i_q_u_e_s._i_d_x': numeric matrix similar to the above, storing the
          indexes (onto 'W' slot) of the genes.

     '_m_e_t_h_o_d': character string giving the method of discrimination
          analysis used.

     '_D_a_t_e': character string giving the date and time that the object
          was generated.

     '_V._i_n_f_o': list containg three characters. The first one is a
          string containing the R version used when the object was
          created. The second is a char vector with base packages and
          the last one is another char vector with additional packages
          and version numbers.

_M_e_t_h_o_d_s:


     _p_l_o_t 'signature(x = 'maigesClass')': plot method for 'maigesClass'
          class. Display dispersion plots.

     _p_r_i_n_t 'signature(x = 'maigesClass')': print method for
          'maigesClass' class.

     _s_h_o_w 'signature(x = 'maigesClass')': show method for 'maigesClass'
          class.

     _s_u_m_m_a_r_y 'signature(x = 'maigesClass')': summary method for
          'maigesClass' class.

_A_u_t_h_o_r(_s):

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

_S_e_e _A_l_s_o:

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

