summarize             package:LogitBoost             R Documentation

_S_u_m_m_a_r_i_z_e_s _t_h_e _o_u_t_p_u_t _o_f _c_r_o_s_s_v_a_l() _a_n_d _l_o_g_i_t_b_o_o_s_t() _b_y _p_r_i_n_t_i_n_g
_a_n_d _p_l_o_t_t_i_n_g

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

     Prints and plots error-rates for optimal, fixed and (optionally)
     estimated stopping times when predicting a test set with
     logitboost(), or when running v-fold cross validation via
     crossval().

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

     summarize(boost.out, resp, mout=100, grafik=T)

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

boost.out: A list, obtained as output of either logitboost() or
          crossval()

    resp: A numerical vector, containing the true response labels of
          the K classes as consecutive integers from 0 to (K-1).

    mout: An integer, giving the number of iterations of the boosting
          procedure, for which the error rate should be printed. The
          default value mout=100 is usually a good choice for gene
          expression data, which can well be inspected visually by the
          boosting error curve.

  grafik: Logical flag, indicates whether the boosting error curve
          should be plotted or not. The default is TRUE.

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

     Prints and plots the error-rates from the LogitBoost procedure.

_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)

     ## An example without stopping parameter estimation
     fit <- crossval(leukemia.x,leukemia.y,v=5,mfinal=100,presel=75,verbose=TRUE)
     summarize(fit, leukemia.y, grafik=FALSE)
     summarize(fit, leukemia.y, mout=57)

