

HouseVotes84(mlbench)                        R Documentation

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

     This data set includes votes for each of the U.S. House
     of Representatives Congressmen on the 16 key votes
     identified by the CQA.  The CQA lists nine different
     types of votes: voted for, paired for, and announced
     for (these three simplified to yea), voted against,
     paired against, and announced against (these three sim-
     plified to nay), voted present, voted present to avoid
     conflict of interest, and did not vote or otherwise
     make a position known (these three simplified to an
     unknown disposition).

_U_s_a_g_e_:

     data(HouseVotes84)

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

     A data frame with 435 observations on 17 variables:

       1     Class Name: 2 (democrat, republican)
       2     handicapped-infants: 2 (y,n)
       3     water-project-cost-sharing: 2 (y,n)
       4     adoption-of-the-budget-resolution: 2 (y,n)
       5     physician-fee-freeze: 2 (y,n)
       6     el-salvador-aid: 2 (y,n)
       7     religious-groups-in-schools: 2 (y,n)
       8     anti-satellite-test-ban: 2 (y,n)
       9     aid-to-nicaraguan-contras: 2 (y,n)
      10     mx-missile: 2 (y,n)
      11     immigration: 2 (y,n)
      12     synfuels-corporation-cutback: 2 (y,n)
      13     education-spending: 2 (y,n)
      14     superfund-right-to-sue: 2 (y,n)
      15     crime: 2 (y,n)
      16     duty-free-exports: 2 (y,n)
      17     export-administration-act-south-africa: 2 (y,n)

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

        * Source: Congressional Quarterly Almanac, 98th
          Congress, 2nd session 1984, Volume XL: Congres-
          sional Quarterly Inc., ington, D.C., 1985

        * Donor: Jeff Schlimmer (Jeffrey.Schlim-
          mer@a.gp.cs.cmu.edu)

     These data have been taken from the UCI Repository Of
     Machine Learning Databases at

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

        * http://www.ics.uci.edu/mlearn/MLRepository.html

     and were converted to R format by
     Friedrich.Leisch@ci.tuwien.ac.at.

