On this Picostat.com statistics page, you will find information about the Hitters data set which pertains to Hitters Data. The Hitters data set is found in the vcd R package. You can load the Hitters data set in R by issuing the following command at the console data("Hitters"). This will load the data into a variable called Hitters. If R says the Hitters data set is not found, you can try installing the package by issuing this command install.packages("vcd") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Hitters R data set. The size of this file is about 27,040 bytes.
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.
A data frame with 154 observations and 4 variables.
factor indicating the field position (1B=first
baseman, 2B=second baseman, 3B=third baseman, C=catcher,
OF=outfielder, SS=Short Stop, UT=Utility Players).
occur when a fielder causes an opposing player to be
tagged or forced out.
are credited to other fielders involved in making
count the errors made by a player.
SAS System for Statistical Graphics, First Edition, Page A2.3
M. Friendly (2000),
Visualizing Categorical Data.
SAS Institute, Cary, NC.
attach(Hitters)colors <- c("black","red","green","blue","red","black","blue")
pch <- substr(levels(Positions), 1, 1)
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)
Dataset imported from https://www.r-project.org.