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:

     z.auto <- rpart(Mileage ~ Weight, car.test.frame)
     printcp(z.auto)
     ## Not run: 
     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
     ## End(Not run)

