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'.

