Analyzing Baseball Data with R, Second Edition

Author:   Max Marchi (Cleveland Indians, Ohio, USA) ,  Jim Albert ,  Benjamin S. Baumer (Smith College, Northhampton, MA) ,  Jim Albert
Publisher:   Taylor & Francis Ltd
Edition:   2nd edition
ISBN:  

9780367024864


Pages:   342
Publication Date:   22 November 2018
Format:   Hardback
Availability:   In Print   Availability explained
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Analyzing Baseball Data with R, Second Edition


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Overview

Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate 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 ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr, purrr, and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability, and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples, you will learn about modern sabermetrics and how to conduct your own baseball analyses. Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R.

Full Product Details

Author:   Max Marchi (Cleveland Indians, Ohio, USA) ,  Jim Albert ,  Benjamin S. Baumer (Smith College, Northhampton, MA) ,  Jim Albert
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Edition:   2nd edition
Weight:   0.839kg
ISBN:  

9780367024864


ISBN 10:   0367024861
Pages:   342
Publication Date:   22 November 2018
Audience:   General/trade ,  Professional and scholarly ,  General ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

Overall, the book meets its main aim of teaching the reader to analyze real data using R. It is well suited to baseball fans, who have a solid statistical background, and want to learn R or modernize their style of R programming. Baseball fans with a more basic statistical education will also learn from this book . . . ~Tim Downie, Journal of Statistical Software


As editor of SABR's statistical analysis newsletter, I often get inquiries from prospective sabermetricians asking how to get started. For new, aspiring analysts, I will now suggest R, and this book, as my first, and probably only, recommendation. This book is a perfect introduction, given that it's using the exact datasets you're going to be using. Phil Birnbaum, Society for American Baseball Research


As editor of SABR's statistical analysis newsletter, I often get inquiries from prospective sabermetricians asking how to get started. For new, aspiring analysts, I will now suggest R, and this book, as my first, and probably only, recommendation. This book is a perfect introduction, given that it's using the exact datasets you're going to be using. ~Phil Birnbaum, Society for American Baseball Research


Author Information

Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R.

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