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.