Was 2013 a record year for strikeouts in World Series Baseball?

November 8, 2013

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

The new book Analyzing Baseball Data with R by Max Marchi and Jim Albert is now available, and the authors have also launched a companion blog to share some of the analyses from the book. For example, they used the Lahman package in R to look at the strikeout rate in World Series baseball games over the last century and found (after a little nonparametric smoothing) that the rate has been on a steady rise:


Nonetheless, 2013 was not a record year for strikeouts — although given the steady rise, record-holder 2002 is likely to be eclipsed soon.

For another inetesting R-based baseball analysis, take a look at the presentation on the analysis of "streakiness" in baseball, given by Jim Albert at the recent NESSIS conference:


If you want to reproduce the strikeout analysis above, just follow the link below for the R code.

Analyzing Baseball Data with R: World Series Strikeouts (via Arthur Charpentier)

To leave a comment for the author, please follow the link and comment on their blog: Revolutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)