mpincdf99              package:pinktoe              R Documentation

_E_D_M _s_i_g_n_i_n_g _d_a_t_a_b_a_s_e _f_o_r _1_9_9_9 _a_n_d _p_a_r_t_y _a_f_f_i_l_i_a_t_i_o_n _f_o_r _M_P_s

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

     A dataframe. Each row represents an MP. The first entry in each
     row contains the party affiliation for that MP. Subsequent entries
     correspond to the factor SIGNED/NOT SIGNED indicating whether that
     MP did or did not sign the EDM described by that column.

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

     data(mpincdf99)

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

     A dataframe containing 549 MPs (rows) and 1244 columns (one for
     party membership and the rest for EDMs).

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

     Nason, G.P. (2001) Early Day Motions: exploring backbench opinion
     during 1997-2000. _Technical Report_ 01:11, Department of
     Mathematics, University of Bristol.

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

     data(mpincdf99)
     ## maybe str(mpincdf99) ; plot(mpincdf99) ...
     #
     # Let's look at the first 5 MPs and the first 4 EDMs.
     #
     mpincdf99[1:5,1:5]
     #                  party   EDM1 EDM2   EDM3   EDM4
     #Abbott/Diane        Lab SIGNED  NOT SIGNED    NOT
     #Adams/Irene         Lab    NOT  NOT    NOT SIGNED
     #Ainger/Nick         Lab    NOT  NOT    NOT    NOT
     #Ainsworth/Peter     Con    NOT  NOT    NOT    NOT
     #Alexander/Douglas   Lab    NOT  NOT    NOT    NOT
     #
     # So, Diane signed EDM1 and EDM3 and not EDM2 and EDM4 etc....

