cltest                package: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 population 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 = pm
     sqrt{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.

