printcp                package:rpart                R Documentation

_D_i_s_p_l_a_y_s _C_P _t_a_b_l_e _f_o_r _F_i_t_t_e_d _R_p_a_r_t _O_b_j_e_c_t

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

     Displays the `cp' table for fitted `rpart' object.

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

     printcp(x, digits=getOption("digits") - 2)

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

       x: fitted model object of class `rpart'.  This is assumed to be
          the result  of some function that produces an object with the
          same named  components as that returned by the `rpart'
          function.  

  digits: the number of digits of numbers to print. 

_D_e_t_a_i_l_s:

     Prints a table of optimal prunings based on a complexity
     parameter.

_S_e_e _A_l_s_o:

     `summary.rpart',  `rpart.object'

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

     data(car.test.frame)
     z.auto <- rpart(Mileage ~ Weight, car.test.frame)
     printcp(z.auto)

     Regression tree:
     rpart(formula = Mileage ~ Weight, data = car.test.frame)

     Variables actually used in tree construction:
     [1] Weight

     Root node error: 1354.6/60 = 22.576

             CP nsplit rel error  xerror     xstd 
     1 0.595349      0   1.00000 1.03436 0.178526
     2 0.134528      1   0.40465 0.60508 0.105217
     3 0.012828      2   0.27012 0.45153 0.083330
     4 0.010000      3   0.25729 0.44826 0.076998

