Hitters                 package:vcd                 R Documentation

_H_i_t_t_e_r_s _D_a_t_a

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

     This data set is deduced from the 'Baseball' fielding data set:
     fielding performance basically includes the numbers of Errors,
     Putouts and Assists made by each player.  In order to reduce the
     number of observations, the was compressed by calculating the mean
     number of errors, putouts and assists for each team and for only 6
     positions (1B, 2B, 3B, C, OF, SS and UT).  In addition, each of
     these three variables was scaled to a common range by dividing
     each variable by the maximum of the variable.

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

     data(Hitters)

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

     A data frame with 154 observations and 4 variables.

     _P_o_s_i_t_i_o_n_s factor indicating the field position (1B=first baseman,
          2B=second baseman, 3B=third baseman, C=catcher,
          OF=outfielder, SS=Short Stop, UT=Utility Players).

     _P_u_t_o_u_t_s occur when a fielder causes an opposing player to be
          tagged or forced out.

     _A_s_s_i_s_t_s are credited to other fielders involved in making that
          putout.

     _E_r_r_o_r_s count the errors made by a player.

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

     SAS System for Statistical Graphics, First Edition, Page A2.3

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

     M. Friendly (2000), _Visualizing Categorical Data_. SAS Institute,
     Cary, NC.

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

     data(Hitters)
     attach(Hitters)

     colors <- c("black","red","green","blue","red","black","blue")
     pch <- substr(levels(Positions), 1, 1)
     ternaryplot(Hitters[,2:4],
       pch = as.character(Positions),
       col = colors[as.numeric(Positions)],
       main = "Baseball Hitters Data")
     grid_legend(0.8, 0.9, pch, colors, levels(Positions),
       title = "POSITION(S)")

     detach(Hitters)

