In case you missed them, here are some articles from October of particular interest to R users:
Joe Rickert recounts the R presence at the Strata + Hadoop World conference, including slides from the R and Hadoop tutorial.
Hadley Wickham's favorite tools, gadgets and software (including of course R).
Revolution R Enterprise 7 is announced, with updated R engine and new in-database and in-Hadoop capabilities.
I was interviewed on camera by theCUBE about R, data science, and Revolution R Enterprise 7.
Patrick Burns shares some good reasons for switching from spreadsheets to R for data analysis.
R is used for several sports-related analyses at the The New England Symposium of Statistics in Sport.
Some tips for using the .Rprofile file to customize your R session at startup.
Quandl’s introduction to econometrics using R.
Video replay of a recent webinar by DataSong on implementing time-to-event models with Revolution R Enterprise.
Joe Rickert reviews the sessions at the ACM 2013 Big Data Camp.
How to get an advantage in Fantasy Football with analysis in R, from a data scientist at the New York Times.
The latest Rexer poll shows the use of R continues to skyrocket. It’s the most popular data mining tool by a wide margin.
Tips and resources for using R for signal processing and time series analysis.
The popular data-visualization software Tableau adds integration with R.
An interactive web tool explains Simpson’s paradox.
R-related presentations from the DataWeek 2013 conference, including how an IBM division replaced SAS with R.
Some non-R stories in the past month included: remembering video stores, some optical illusion trickery, better voting systems, a funny interpretation of air safety videos and a discussion on how to get ROI from analytics.
As always, thanks for the comments and please send any suggestions to me at [email protected]. Don't forget you can follow the blog using an RSS reader, via email using blogtrottr, or by following me on Twitter (I'm @revodavid). You can find roundups of previous months here.