score               package:LogitBoost               R Documentation

_C_o_m_p_u_t_e_s _t_h_e _s_c_o_r_e _f_u_n_c_t_i_o_n _o_f _g_e_n_e _e_x_p_r_e_s_s_i_o_n _v_e_c_t_o_r_s

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

     The score function measures how well an explanatory variable
     discriminates a given binary response. It can be interpreted as
     counting for each observation having response zero, the number of
     individuals of response class one that have smaller expression
     values, and summing up these quantities and is equivalent to the
     test statistic of the Wilcoxon test.

_U_s_a_g_e:

     score(x, resp)

_A_r_g_u_m_e_n_t_s:

       x: A numerical vector, containing the value of the explanatory
          variable for all instances.

    resp: Vector, containing the class labels of the instances which
          have to coded by 0 and 1.

_V_a_l_u_e:

     An integer, the score of that particular explanatory variable.

_A_u_t_h_o_r(_s):

     Marcel Dettling

_R_e_f_e_r_e_n_c_e_s:

     See "Boosting for Tumor Classification with Gene Expression Data",
     Dettling and Buhlmann (2002), available on the web page
     http://stat.ethz.ch/~dettling/boosting.html

_E_x_a_m_p_l_e_s:

     data(leukemia)

     plot(leukemia.x[,69],leukemia.y)
     title(paste("Score = ", score(leukemia.x[,69], leukemia.y)))

