| Description |
1 online resource (352 pages) : 68 illustrations |
| Series |
Chapman & Hall/CRC the R series |
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Chapman & Hall/CRC the R series (CRC Press)
|
| Bibliography |
Includes bibliographical references and index. |
| Contents |
Chapter 1 The Baseball Datasets / Max Marchi -- chapter 2 Introduction to R / Max Marchi -- chapter 3 Traditional Graphics / Max Marchi -- chapter 4 The Relation Between Runs and Wins / Max Marchi -- chapter 5 Value of Plays Using Run Expectancy / Max Marchi -- chapter 6 Advanced Graphics / Max Marchi -- chapter 7 Balls and Strikes Effects / Max Marchi -- chapter 8 Career Trajectories / Max Marchi -- chapter 9 Simulation / Max Marchi -- chapter 10 Exploring Streaky Performances / Max Marchi -- chapter 11 Learning About Park Effects by Database Management Tools / Max Marchi -- chapter 12 Exploring Fielding Metrics with Contributed R Packages / Max Marchi. |
| Summary |
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. |
| Access |
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK). WlAbNL |
| Terms Of Use |
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. WlAbNL |
| Subject |
Baseball -- Mathematical models.
|
|
Baseball -- Statistics.
|
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Baseball.
|
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Base-ball -- Modèles mathématiques. |
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Base-ball -- Statistiques. |
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Base-ball. |
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baseball (field sport) |
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Baseball |
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R (Computer program language) |
| Genre |
Statistics
|
| Added Author |
Albert, Jim, author.
|
| Other Form: |
Print version: 9781138464575 |
| ISBN |
9781466570238 (e-book) (e-book ; PDF) |
|
1466570237 |
|
9781315360591 |
|
1315360594 |
|
9781351107075 |
|
1351107070 |
|
9781351107082 |
|
1351107089 |
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9781351107068 |
|
1351107062 |
|
9781351107099 |
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1351107097 |
|
(hbk.) |
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(pbk.) |
| Standard No. |
10.1201/9781315380452 doi |
|
10.1201/9781351107099 doi |
|
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