coleman              package:robustbase              R Documentation

_C_o_l_e_m_a_n _D_a_t_a _S_e_t

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

     Contains information on 20 Schools from the Mid-Atlantic and New
     England States, drawn from a population studied by Coleman et al.
     (1966). Mosteller and Tukey (1977) analyze this sample consisting
     of measurements on six different variables, one of which will be
     treated as a responce.

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

     data(coleman)

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

     A data frame with 20 observations on the following 6 variables.

     '_s_a_l_a_r_y_P' staff salaries per pupil

     '_f_a_t_h_e_r_W_c' percent of white-collar fathers

     '_s_s_t_a_t_u_s' socioeconomic status composite deviation: means for
          family size, family intactness, father's education, mother's
          education, and home items

     '_t_e_a_c_h_e_r_S_c' mean teacher's verbal test score

     '_m_o_t_h_e_r_L_e_v' mean mother's educational level, one unit is equal to
          two school years

     '_Y' verbal mean test score (y, all sixth graders)

_A_u_t_h_o_r(_s):

     Valentin Todorov

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

     P. J. Rousseeuw and A. M. Leroy (1987) _Robust Regression and
     Outlier Detection_ Wiley, p.79, table 2.

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

     data(coleman)
     pairs(coleman)
     summary( lm.coleman <-     lm(Y ~ . , data = coleman))
     summary(lts.coleman <- ltsReg(Y ~ . , data = coleman))

     coleman.x <- data.matrix(coleman[, 1:6])
     (Cc <- covMcd(coleman.x))

