mdsplot

本程序是基于linux系统下c++代码

MDSplot             package:randomForest             R Documentation

_M_u_l_t_i-_d_i_m_e_n_s_i_o_n_a_l _S_c_a_l_i_n_g _P_l_o_t _o_f _P_r_o_x_i_m_i_t_y _m_a_t_r_i_x _f_r_o_m _r_a_n_d_o_m_F_o_r_e_s_t

_D_e_s_c_r_i_p_t_i_o_n:

     Plot the scaling coordinates of the proximity matrix from
     randomForest.

_U_s_a_g_e:

     MDSplot(rf, fac, k=2, palette=NULL, pch=20, ...)

_A_r_g_u_m_e_n_t_s:

      rf: an object of class 'randomForest' that contains the
          'proximity' component.

     fac: a factor that was used as response to train 'rf'.

       k: number of dimensions for the scaling coordinates.

 palette: colors to use to distinguish the classes; length must be the
          equal to the number of levels.

     pch: plotting symbols to use.

     ...: other graphical parameters.

_V_a_l_u_e:

     The output of 'cmdscale' on 1 - 'rf$proximity' is returned
     invisibly.

_N_o_t_e:

     If 'k > 2', 'pairs' is used to produce the scatterplot matrix of
     the coordinates.

_A_u_t_h_o_r(_s):

     Robert Gentleman, with slight modifications by Andy Liaw

_S_e_e _A_l_s_o:

     'randomForest'

_E_x_a_m_p_l_e_s:

     set.seed(1)
     data(iris)
     iris.rf <- randomForest(Species ~ ., iris, proximity=TRUE,
                             keep.forest=FALSE)
     MDSplot(iris.rf, iris$Species)
     ## Using different symbols for the classes:
     MDSplot(iris.rf, iris$Species, palette=rep(1, 3), pch=as.numeric(iris$Species))