RankingWilcoxon-methods     package:GeneSelector     R Documentation

_R_a_n_k_i_n_g _b_a_s_e_d _o_n _t_h_e _W_i_l_c_o_x_o_n _s_t_a_t_i_s_t_i_c

_D_e_s_c_r_i_p_t_i_o_n:

     The Wilcoxon statistic is a rank-based, 'distribution free'
     alternative. It is also closely related to the 'Area under the
     curve' (AUC) in the two sample case. The implementation is
     efficient, but still far slower than that of the t-statistic.

_M_e_t_h_o_d_s:

     The input (gene expression and class labels)  can be given in
     three different ways:


     _x = "_m_a_t_r_i_x", _y = "_n_u_m_e_r_i_c" signature 1

     _x = "_m_a_t_r_i_x", _y = "_f_a_c_t_o_r" signature 2

     _x = "_E_x_p_r_e_s_s_i_o_n_S_e_t", _y = "_c_h_a_r_a_c_t_e_r" signature 3

     For further argument and output information, consult 
     RankingWilcoxon.

