Analyzing Baseball Data with R (The R Series)
Max Marchi
Sold by ThriftBooks-Dallas, Dallas, TX, U.S.A.
AbeBooks Seller since July 2, 2009
Used - Soft cover
Condition: Used - As new
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by ThriftBooks-Dallas, Dallas, TX, U.S.A.
AbeBooks Seller since July 2, 2009
Condition: Used - As new
Quantity: 1 available
Add to basketPages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Seller Inventory # G1466570229I2N00
With its flexible capabilities and open-source platform, R has become a major tool for analyzing detailed, high-quality baseball data. Analyzing Baseball Data with R provides an introduction to R for sabermetricians, baseball enthusiasts, and students interested in exploring the rich sources of baseball data. It equips readers with the necessary skills and software tools to perform all of the analysis steps, from gathering the datasets and entering them in a convenient format to visualizing the data via graphs to performing a statistical analysis.
The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the traditional graphics functions in the base package and introduce more sophisticated graphical displays available through the lattice and ggplot2 packages. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and fielding measures. Each chapter contains exercises that encourage readers to perform their own analyses using R. All of the datasets and R code used in the text are available online.
This book helps readers answer questions about baseball teams, players, and strategy using large, publically available datasets. It offers detailed instructions on downloading the datasets and putting them into formats that simplify data exploration and analysis. Through the book’s various examples, readers will learn about modern sabermetrics and be able to conduct their own baseball analyses.
Max Marchi is a baseball analyst with the Cleveland Indians. He was previously a statistician at the Emilia-Romagna Regional Health Agency. He has been a regular contributor to The Hardball Times and Baseball Prospectus websites and has consulted for MLB clubs.
Jim Albert is a professor of statistics at Bowling Green State University. He has authored or coauthored several books and is the editor of the Journal of Quantitative Analysis of Sports. His interests include Bayesian modeling, statistics education, and the application of statistical thinking in sports.
"About this title" may belong to another edition of this title.
We guarantee each book that we send you. If you have any problems, please contact
our dedicated customer service department. They will do everything possible to
ensure you are happy with your order.
All domestic Standard shipments are distributed from our warehouses by OSM, then handed off to the USPS for final delivery.
2-Day Shipping is delivered by FedEx, which does not deliver to PO boxes.
International shipments are tendered to the local postal service in the destination country for final delivery – We do not use courier services for international deliveries.
| Order quantity | 4 to 8 business days | 4 to 8 business days |
|---|---|---|
| First item | US$ 0.00 | US$ 0.00 |
Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.