hepatitis               package:dprep               R Documentation

_T_h_e _h_e_p_a_t_i_t_i_s _d_a_t_a_s_e_t

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

     This is the hepatitis dataset from the UCI. The data was donated
     by Gail Gong.

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

     data(hepatitis)

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

     A data frame with 155 observations on the following 20 variables.
     This dataset contains a large number of missing values.

     _V_1 Histology:no,yes

     _V_2 age

     _V_3 sex: male,female

     _V_4 steroid:no,yes

     _V_5 antivirals:no,yes

     _V_6 fatigue:no, yes

     _V_7 malaise:no, yes

     _V_8 anorexia:no, yes

     _V_9 liver big:no,yes

     _V_1_0 liver firm:no,yes

     _V_1_1 spleen palpable: no, yes

     _V_1_2 spiders:no,yes

     _V_1_3 ascites:no,yes

     _V_1_4 Varices:no,yes

     _V_1_5 Bilirubin

     _V_1_6 alk phosphate

     _V_1_7 sgot

     _V_1_8 Albumin

     _V_1_9 Protime

     _V_2_0 Class:Die, Live

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

     The original dataset has the classes labels in the first column.

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

     The UCI Machine Learning Database Repository at:

        *  <URL: ftp://ftp.ics.uci.edu/pub/machine-learning-databases>

        *  <URL: http://www.ics.uci.edu/~mlearn/MLRepository.html>

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

     Diaconis,P. & Efron,B. (1983). Computer-Intensive Methods in
     Statistics.  Scientific American, Volume 248.

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

     #------Report and plot of missing values ------
     data(hepatitis)
     imagmiss(hepatitis,"hepatitis")

