Amazon | Analyzing Baseball Data with R (Chapman & Hall/CRC The R Series) | Marchi, Max, Albert, Jim

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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.

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本の長さ

352ページ
言語

英語
出版社

Routledge
発売日

2013/12/6
寸法

15.57 x 2.03 x 22.23 cm
ISBN-10

1466570229
ISBN-13

978-1466570221
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Analyzing Baseball Data with R (Chapman & Hall/CRC The R Series)
Jim Albert

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￥9,739
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送料: ￥3,472
一時的に在庫切れ; 入荷時期は未定です。
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商品の説明

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"There are some great resources out there for learning R and for learning how to analyze baseball data with it. In fact, a few pretty smart people wrote a fantastic book on the subject, coincidentally titled Analyzing Baseball Data with R. I can’t say enough about this book as a reference, both for baseball analysis and for R. Go and buy it."
―Bill Petti, The Hardball Times, September 2015

"The authors present a potpourri of well-conceived case-studies that give insight into both the game’s complexity and R’s simplicity. Virtually no previous knowledge of statistical theory and software is required to master the data analyses and to follow the explications in this book … The authors’ style of writing is pleasurable and bespeaks their passion for the game. Narratives and R commands are so smoothly intermingled that the source code hardly disturbs the flow of reading, and a wealth of graphs break up the grey. … A great asset of the book is that it encourages the reader to learn the ropes of sabermetrics by actually running the example analyses on one’s own computer."
―Journal of the Royal Statistical Society, Series A, 2015

"If you are interested in statistics, especially baseball statistics, you will find this book fascinating and very useful. It provides many details. websites, and useful descriptions for using the R programming environment. This is not only a book on statistics; there are many references to famous player statistics, making this a very enjoyable book to read. And even if you don’t like baseball but still find statistics very exciting, then this book provides a great introduction to R that can be used for any other type of statistical data set."
―IEEE Insulation Magazine, November/December 2014

"I have spent most of the past decade working in baseball as a statistical analyst for the New York Mets. … This type of employment can be highly valued, especially among quantitatively inclined college students who are coincidentally passionate baseball fans. It is from these students from whom I am most frequently asked, ‘what book would you recommend for someone who wants to get started in sabermetrics?’ Invariably, my response has been [Jim Albert and Jay Bennett’s] Curve Ball. I have a new response. …
I always felt that Curve Ball was the best place for a budding sabermetrician to start … However, it later dawned on me that while Curve Ball provided a sound framework for thinking probabilistically about baseball, I devoted a huge proportion of my time at work to computer programming. …
In their new book, Albert and Max Marchi, a native Italian who now works for the Cleveland Indians, have closed the loop by offering the aspiring sabermetrician a blueprint. … The reader who digests this book alongside her keyboard will emerge as a practicing sabermetrician―having knowledge of the key ideas in sabermetric theory, a historical understanding of from whence those ideas came, and the practical ability to compute with baseball data. It is a sabermetric workshop in paperback."
―Ben S. Baumer, International Statistical Review (2014), 82

著者について

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.

登録情報

出版社 ‏ : ‎ Routledge; 第1版 (2013/12/6)
発売日 ‏ : ‎ 2013/12/6
言語 ‏ : ‎ 英語
ペーパーバック ‏ : ‎ 352ページ
ISBN-10 ‏ : ‎ 1466570229
ISBN-13 ‏ : ‎ 978-1466570221
寸法 ‏ : ‎ 15.57 x 2.03 x 22.23 cm

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Max Marchi
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Jim Albert
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shows you step by step, and if you can't ...
2015年10月25日にカナダでレビュー済み
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shows you step by step, and if you can't figure it out, there are quite a few forums with even more step by step explanations. They never take for granted that you should know a step. A+.

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Daniel Vogelsang
This book is fantastic! It is clear and concise and I can ...
2014年10月7日にアメリカ合衆国でレビュー済み
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I am 50 pages in and decided to stop for a second to right a review because I felt I owed it to the authors. This book is fantastic! It is clear and concise and I can tell they have a deep understanding of R. There is no unnecessary wordiness and it is not the least bit dry for a book on a data analysis program. I have never really been into baseball (more of a basketball and football guy), but I am starting to get into data analysis/data science and thus have been trying to find good ways to learn R (and I have tried several). Somehow I stumbled across this book and am so glad I bought it. If you are looking for a good way to learn R you do not need to look any further. Certainly the gold standard for any type of educational book.

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Richard
Great starter text but suffers from typos
2017年3月26日にアメリカ合衆国でレビュー済み
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Great book though it suffers from typos in a few areas and the issue seems to get worse the farther into the text one gets.

As an example, in Chapter 8 naming of objects isn't consistent in between text passages as well as in across the book and downloadable scripts.

That said, I suppose one could say that is the nature of data analysis. A good amount of analytical work and even more debugging/data correction.

I still consider this a great resource though it could use some polish.

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Customer
Great example of how to apply R
2015年5月4日に英国でレビュー済み
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Neat book to illustrate how to apply R in a sports context. While baseball statistics might only appeal to a small group of R users in the UK, it might be of interest to fans of other sports where statistics play a major role.
It would be great if more books were published along similar lines. This I think will help many students (myself included) learn about using R in a more hobbyist setting as opposed to working with contrived academic examples.

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Devon
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2014年1月27日にアメリカ合衆国でレビュー済み
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Probably unlike most people who will buy this book, I am more well versed in R than I am Sabermetrics. I bought this book to teach me more about baseball statistics, and I figured it would be worth it considering Jim Albert's involvement.

I have taken formal classes in R in graduate school, and let me tell you this book was a dynamite review and I think even better at teaching basic coding and packages than some of the books solely dedicated to R out there. It also directed me to some databases I was unfamiliar with and where to find specific datasets, which is amazing.

This is a must buy for those looking to conduct statistical analyses on their favorite team while utilizing free software.

Looking forward to next season.

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Analyzing Baseball Data with R (Chapman & Hall/CRC The R Series) ペーパーバック – 2013/12/6

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Max Marchi

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shows you step by step, and if you can't ...

This book is fantastic! It is clear and concise and I can ...

Great starter text but suffers from typos

Great example of how to apply R

Excellent

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Analyzing Baseball Data with R (Chapman & Hall/CRC The R Series) ペーパーバック – 2013/12/6

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Max Marchi

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5つ星のうち5.0 shows you step by step, and if you can't ...

5つ星のうち5.0 This book is fantastic! It is clear and concise and I can ...

5つ星のうち4.0 Great starter text but suffers from typos

5つ星のうち4.0 Great example of how to apply R

5つ星のうち5.0 Excellent

上位レビュー、対象国：日本

shows you step by step, and if you can't ...

This book is fantastic! It is clear and concise and I can ...

Great starter text but suffers from typos

Great example of how to apply R

Excellent