

cltest(locfit)                               R Documentation

_T_e_s_t _d_a_t_a_s_e_t _f_o_r _c_l_a_s_s_i_f_i_c_a_t_i_o_n

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

     200 observations from a 2 population model. Under popu-
     lation 0, x_{1,i} has a standard normal distribution,
     and x_{2,i} = (2-x_{1,i}^2+z_i)/3, where z_i is also
     standard normal.  Under population 1, x_{2,i} =
     -(2-x_{1,i}^2+z_i)/3.  The optimal classification
     regions form a checkerboard pattern, with horizontal
     boundary at x_2=0, vertical boundaries at x_1 = +-
     t{2}.

     This is the same model as the cltrain dataset.

_U_s_a_g_e_:

     data(cltest)

_F_o_r_m_a_t_:

     Data Frame. Three variables x1, x2 and y. The latter
     indicates class membership.

