Content: Cover
Half Title
Title Page
Copyright Page
Table of Contents
Preface
Chapter 1: The Baseball Datasets
1.1 Introduction
1.2 The Lahman Database: Season-by-Season Data
1.2.1 Bonds, Aaron, Ruth, and Rodriguez home run trajectories
1.2.2 Obtaining the database
1.2.3 The Master table
1.2.4 The Batting table
1.2.5 The Pitching table
1.2.6 The Fielding table
1.2.7 The Teams table
1.2.8 Baseball questions
1.3 Retrosheet Game-by-Game Data
1.3.1 The 1998 McGwire and Sosa home run race
1.3.2 Retrosheet
1.3.3 Game logs
1.3.4 Obtaining the game logs from Retrosheet 1.3.5 Game log example1.3.6 Baseball questions
1.4 Retrosheet Play-by-Play Data
1.4.1 Event files
1.4.2 Event example
1.4.3 Baseball questions
1.5 Pitch-by-Pitch Data
1.5.1 MLBAM Gameday and PITCHf/x
1.5.2 PITCHf/x Example
1.5.3 Baseball questions
1.6 Player Movement and Off-the-Bat Data
1.6.1 Statcast
1.6.2 Baseball Savant data
1.6.3 Baseball questions
1.7 Summary
1.8 Further Reading
1.9 Exercises
Chapter 2: Introduction to R
2.1 Introduction
2.2 Installing R and RStudio
2.3 The Tidyverse
2.3.1 dplyr
2.3.2 The pipe
2.3.3 ggplot2
2.3.4 Other packages
2.4 Data Frames 2.4.1 Career of Warren Spahn2.4.2 Introduction
2.4.3 Manipulations with data frames
2.4.4 Merging and selecting from data frames
2.5 Vectors
2.5.1 Defining and computing with vectors
2.5.2 Vector functions
2.5.3 Vector index and logical variables
2.6 Objects and Containers in R
2.6.1 Character data and data frames
2.6.2 Factors
2.6.3 Lists
2.7 Collection of R Commands
2.7.1 R scripts
2.7.2 R functions
2.8 Reading and Writing Data in R
2.8.1 Importing data from a file
2.8.2 Saving datasets
2.9 Packages
2.10 Splitting, Applying, and Combining Data
2.10.1 Iterating using map() 2.10.2 Another example2.11 Getting Help
2.12 Further Reading
2.13 Exercises
Chapter 3: Graphics
3.1 Introduction
3.2 Character Variable
3.2.1 A bar graph
3.2.2 Add axes labels and a title
3.2.3 Other graphs of a character variable
3.3 Saving Graphs
3.4 Numeric Variable: One-Dimensional Scatterplot and Histogram
3.5 Two Numeric Variables
3.5.1 Scatterplot
3.5.2 Building a graph, step-by-step
3.6 A Numeric Variable and a Factor Variable
3.6.1 Parallel stripcharts
3.6.2 Parallel boxplots
3.7 Comparing Ruth, Aaron, Bonds, and A-Rod
3.7.1 Getting the data 3.7.2 Creating the player data frames3.7.3 Constructing the graph
3.8 The 1998 Home Run Race
3.8.1 Getting the data
3.8.2 Extracting the variables
3.8.3 Constructing the graph
3.9 Further Reading
3.10 Exercises
Chapter 4: The Relation Between Runs and Wins
4.1 Introduction
4.2 The Teams Table in the Lahman Database
4.3 Linear Regression
4.4 The Pythagorean Formula for Winning Percentage
4.4.1 The Exponent in the Pythagorean model
4.4.2 Good and bad predictions by the Pythagorean model
4.5 How Many Runs for a Win?
4.6 Further Reading
4.7 Exercises