summarizeRobWeights        package:robustbase        R Documentation

_P_r_i_n_t _a _N_i_c_e "_s_u_m_m_a_r_y" _o_f _R_o_b_u_s_t_n_e_s_s _W_e_i_g_h_t_s

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

     Print a nice "summary" about a numeric vector of robustness
     weights.  Observations with weights around zero are marked as
     outliers.

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

     summarizeRobWeights(w, digits = getOption("digits"),
                         header = "Robustness weights:",
                         eps = 1e-04, eps1 = eps, ...)

_A_r_g_u_m_e_n_t_s:

       w: numeric vector of robustness weigths.

  digits: digits to be used for 'print'ing.

  header: string to be printed as header line.

     eps: numeric tolerance eps: values of 'w' with |w[i]| < eps/n are
          said to be outliers.

    eps1: numeric tolerance: values of 'w' with |1 - w[i]| < eps1 are
          said to have weight ''~= 1''.

     ...: potential further arguments, passed to 'print()'.

_V_a_l_u_e:

     none; the function is used for its side effect of printing.

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

     Martin Maechler

_S_e_e _A_l_s_o:

     The 'summary' methods for 'lmrob' and 'glmrob' make use of
     'summarizeRobWeights()'.

