Hitters: Hitters Data

In vcd: Visualizing Categorical Data

Hitters Data

Description

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.

Usage

data("Hitters")

Format

A data frame with 154 observations and 4 variables.

Positions

factor indicating the field position (1B=first baseman, 2B=second baseman, 3B=third baseman, C=catcher, OF=outfielder, SS=Short Stop, UT=Utility Players).

Putouts

occur when a fielder causes an opposing player to be tagged or forced out.

Assists

are credited to other fielders involved in making that putout.

Errors

count the errors made by a player.

Source

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

References

M. Friendly (2000), Visualizing Categorical Data. SAS Institute, Cary, NC.

Examples

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)

vcd documentation built on Sept. 17, 2024, 1:08 a.m.