outbox                 package:dprep                 R Documentation

_D_e_t_e_c_t_i_n_g _o_u_t_l_i_e_r_s _t_h_r_o_u_g_h _b_o_x_p_l_o_t_s _o_f _t_h_e _f_e_a_t_u_r_e_s.

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

     This function detects univariate outliers simultaneously using
     boxplots of the features.

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

     outbox(data, nclass)

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

    data: the dataset to be explored for outlier detection.

  nclass: a value representing the number that will be explored.

_D_e_t_a_i_l_s:

     The function also displays a plot containing a boxplot for of the
     variables.

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

    out1: list of the indices of the observations that are outside the
          extremes of the boxplot. The indices are given in a table
          format representing the number of columns  in which the
          observation was identified as an outlier.

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

     Edgar Acuna

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

     #---- Identifying outliers in diabetes-class1 with boxplots----
     data(diabetes)
     outbox(diabetes,nclass=1)

