Baseball

datasets

Visualization techniques, data sets, summary and inference
procedures aimed particularly at categorical data. Special
emphasis is given to highly extensible grid graphics. The
package was package was originally inspired by the book
"Visualizing Categorical Data" by Michael Friendly and is
now the main support package for a new book,
"Discrete Data Analysis with R" by Michael Friendly and
David Meyer (2015).

David Meyer

Visualizing Categorical Data

Baseball function

A data frame with 322 observations and 25 variables.
  <dl> </dl> 

Format

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

Baseball: Baseball Data

Description

Usage

Arguments

Format

Source

References

See Also

Examples