diabetes                package:dprep                R Documentation

_T_h_e _P_i_m_a _I_n_d_i_a_n _D_i_a_b_e_t_e_s _d_a_t_a_s_e_t

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

     This is the Pima Indian diabetes dataset from the UCI Machine
     Learning Repository

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

     data(diabetes)

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

     A data frame with 768 observations on the following 9 variables.

     _V_1 Number of times pregnant

     _V_2 Plasma glucose concentration (glucose tolerance test)

     _V_3 Diastolic blood pressure (mm Hg)

     _V_4 Triceps skin fold thickness (mm)

     _V_5 2-Hour serum insulin (mu U/ml)

     _V_6 Body mass index (weight in kg/(height in m)\^2)

     _V_7 Diabetes pedigree function

     _V_8 Age (years)

     _V_9 Class variable (1:tested positive for diabetes, 0: tested
          negative fro diabetes)

_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>

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

     #---Feature selection using SFS with the LDA classifier--
     data(diabetes)
     sfs(diabetes,"lda",repet=5)

