pairs.ada                package:ada                R Documentation

_P_a_i_r_w_i_s_e _P_l_o_t_s _a_n_d _V_a_r_i_a_b_l_e _I_m_p_o_r_t_a_n_c_s _P_l_o_t _f_o_r _A_d_a

_D_e_s_c_r_i_p_t_i_o_n:

     This command produces pairwise plots of the data. The data in  
     the upper panel of pairwise plots colors the observations by
     observed class membership (if membership is provided).  The lower
     panel of pairwise plots colors the observations by predicted
     classes.  In addition, the plotting  symbol is scaled by the the
     class probability estimate from by adaboost.

     The 'varplot' command produces a variable importance plot using
     the  improve criteria given in the reference (Hastie et al.,2001,
     pg332).  This  is a rather standard measure for determining
     variable importance.

_U_s_a_g_e:

     ## S3 method for class 'ada':
     pairs(x, train.data = NULL, vars = NULL, maxvar = 10, 
                         test.x = NULL, test.y = NULL, 
                         test.only = FALSE,col=c(2,4),pch=c(1,2), ...)

     varplot(x, plot.it = TRUE, type = c("none","scores"),max.var.show=30, ...)

_A_r_g_u_m_e_n_t_s:

       x: object generated by 慳da