pamr.plotcv               package:pamr               R Documentation

_A _f_u_n_c_t_i_o_n _t_o _p_l_o_t _t_h_e _c_r_o_s_s-_v_a_l_i_d_a_t_e_d  _e_r_r_o_r _c_u_r_v_e_s _f_r_o_m
_t_h_e _n_e_a_r_e_s_t _s_h_r_u_n_k_e_n _c_e_n_t_r_o_i_d
_c_l_a_s_s_i_f_i_e_r

_D_e_s_c_r_i_p_t_i_o_n:

     A function to plot the cross-validated error curves the nearest
     shrunken centroid classifier

_U_s_a_g_e:

     pamr.plotcv(fit)

_A_r_g_u_m_e_n_t_s:

     fit: The result of a call to pamr.cv

_D_e_t_a_i_l_s:

     'pamr.plotcv' plots the cross-validated misclassification error
     curves,   from nearest shrunken centroid classifier. An overall
     plot, and a plot by class, are produced.

_V_a_l_u_e:

_A_u_t_h_o_r(_s):

     Trevor Hastie,Robert Tibshirani, Balasubramanian Narasimhan, and
     Gilbert Chu

_R_e_f_e_r_e_n_c_e_s:

_E_x_a_m_p_l_e_s:

     set.seed(120)
     x <- matrix(rnorm(1000*20),ncol=20)
     y <- sample(c(1:4),size=20,replace=TRUE)
     mydata <- list(x=x,y=y)
     mytrain <-   pamr.train(mydata)
     mycv <-  pamr.cv(mytrain, mydata)
     pamr.plotcv(mycv)

