R: Hitters Data

Hitters {vcd} | R Documentation

## 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)

[Package vcd version 1.4-4 Index]