Analyzing Baseball Data with R

Analyzing Baseball Data with R By Albert, Jim; Marchi, Max
2013 | 349 Pages | ISBN: 1466570237 | PDF | 4 MB
Front Cover; Contents; Preface; Chapter 1 - The Baseball Datasets; Chapter 2 - Introduction to R; Chapter 3 - Traditional Graphics; Chapter 4 - The Relation Between Runs and Wins; Chapter 5 - Value of Plays Using Run Expectancy; Chapter 6 - Advanced Graphics; Chapter 7 - Balls and Strikes Effects; Chapter 8 - Career Trajectories; Chapter 9 - Simulation; Chapter 10 - Exploring Streaky Performances; Chapter 11 - Learning About Park Effects by Database Management Tools; Chapter 12 - Exploring Fielding Metrics with Contributed R Packages; Appendix A - Retrosheet Files Reference.Appendix B - Accessing and Using MLBAM Gameday and PITCHf/x DataBibliography; Back Cover.The Baseball Datasets Introduction The Lahman Database: Season-by-Season DataRetrosheet Game-by-Game DataRetrosheet Play-by-Play Data Pitch-by-Pitch DataIntroduction to R Introduction Installing R and RStudio VectorsObjects and Containers in R Collection of R Commands Reading and Writing Data in R Data Frames Packages Splitting, Applying, and Combining DataTraditional Graphics Introduction Factor Variable Saving Graphs Dot Descriptions Numeric Variable: Stripchart and Histogram Two Numeric Variables A Numeric Variable and a Factor Variable Comparing Ruth, Aaron, Bonds, and A-RodThe 1998 Home Run Race.