imagmiss                package:dprep                R Documentation

_V_i_s_u_a_l_i_z_a_t_i_o_n _o_f _M_i_s_s_i_n_g _D_a_t_a

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

     Function to create a graph of the observations of the dataset
     leaving white lines where data is missing.

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

     imagmiss(data, name = "")

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

    data: dataset containing missing values

    name: name of dataset to be used in title of plot

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

     The main idea is to use the original dataset to create a temporary
      dataset containing 1 if a value is found or 0 is the value is
     missing.  The temporary data set is graphed by column changing
     color for each  feature and leaving a blank horizontal line if a
     value is missing. Assumes  classes are in the last column, and
     removes the column containing the classes before plotting.

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

     Caroline Rodriguez and Edgar Acuna

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

     Acuna, E. and Rodriguez, C. (2004). The treatment of missing
     values and its effect in the classifier accuracy. In D. Banks,  L.
     House, F.R. McMorris, P. Arabie, W. Gaul (Eds). Classification,
     Clustering and Data Mining Applications. Springer-Verlag
     Berlin-Heidelberg, 639-648.

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

     #---- Plotting datasets with missing values
     data(censusn)
     imagmiss(censusn, "censusn")

