florida                package:Simple                R Documentation

_C_o_u_n_t_y-_b_y-_C_o_u_n_t_y _r_e_s_u_l_t_s _o_f _y_e_a_r _2_0_0_0 _U_S _p_r_e_s_i_d_e_n_t_i_a_l _e_l_e_c_t_i_o_n
_i_n _F_l_o_r_i_d_a

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

     The 'florida' data frame has 67 rows and 13 columns.

     Gives a county by county accounting of the US elections in the
     state of Florida.

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

     data(florida)

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

     This data frame contains the following columns:

     _C_o_u_n_t_y a numeric vector

     _V_2 a numeric vector

     _G_O_R_E a numeric vector

     _B_U_S_H a numeric vector

     _B_U_C_H_A_N_A_N a numeric vector

     _N_A_D_E_R a numeric vector

     _B_R_O_W_N_E a numeric vector

     _H_A_G_E_L_I_N a numeric vector

     _H_A_R_R_I_S a numeric vector

     _M_C_R_E_Y_N_O_L_D_S a numeric vector

     _M_O_O_R_E_H_E_A_D a numeric vector

     _P_H_I_L_L_I_P_S a numeric vector

     _T_o_t_a_l a numeric vector

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

     Found in the excellent guide    ``Using R for Data Analysis and
     Graphics''  by John Maindonald. The data set is available from
     <URL: http://room.anu.edu.au/~johnm/>

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

     data(florida)
     attach(florida)
     result.lm <- lm(BUCHANAN ~ BUSH)
     plot(BUSH,BUCHANAN)
     abline(result.lm) ## can you find Miami-Dade coutny?

