hawkins                package:dprep                R Documentation

_T_h_e _H_a_w_k_i_n_s-_B_r_a_d_u-_K_a_s_s _d_a_t_a_s_e_t

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

     An artificial dataset generated by Hawkins, Bradu, and Kass for
     illustrating  some of the merits of robust techniques.

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

     data(hawkins)

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

     A data frame consisting of 75 observations on the following 4
     variables.

     _V_1 first predictor variable

     _V_2 second predictor variable

     _V_3 third predictor variable

     _V_4 the response variable

_S_o_u_r_c_e:

     The data appears on p. 94 of  Rousseeuw, P, and Leroy, A. (1987).
     Robust Regression and outlier detection. John Wiley & Sons. New
     York.

_R_e_f_e_r_e_n_c_e_s:

     Hawkins, D.M, Bradu, D., Kass, G.V.(1984). Location of several
     outliers in multiple regression data  using elemental sets.
     Technometrics, 26. 197-208.

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

     #---- Finding Outlier using the LOF algorithm----
     data(hawkins)
     haw.lof=maxlof(hawkins[,1:3],"Hawkins")
     haw.lof[order(haw.lof,decreasing=TRUE)]

