logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Analyzing Baseball Data With R Onlineausg Albert Jim Marchi

  • SKU: BELL-5101270
Analyzing Baseball Data With R Onlineausg Albert Jim Marchi
$ 31.00 $ 45.00 (-31%)

4.4

42 reviews

Analyzing Baseball Data With R Onlineausg Albert Jim Marchi instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 3.34 MB
Pages: 349
Author: Albert, Jim; Marchi, Max
ISBN: 9781466570238, 1466570237
Language: English
Year: 2013
Edition: Online-Ausg

Product desciption

Analyzing Baseball Data With R Onlineausg Albert Jim Marchi by Albert, Jim; Marchi, Max 9781466570238, 1466570237 instant download after payment.

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 Plots 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.
Abstract: 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 Plots 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

Related Products