In case you missed them, here are some articles from December of particular interest to R users:
A ComputerWorld tutorial on basic data processing with R.
Prediction: R will replace legacy SAS solutions and go mainstream.
A chart of the growth of R user groups and local R meetings.
I discussed R, data science and big data in an interview with technology journalist Robert Scoble.
Looking at the evidence supporting the growth of R and Python.
A replay of Mario Inchiosa’s webinar on scalable cross-platform R-based predictive analytics.
A look at the distribution of the number of R package dependencies.
Revolution R Enterprise 7 is now available, with free download for academic users.
Estimating the empirical distribution of Twitter follower counts with R.
How R is used by insurance companies for catastrophe modeling.
Sheri Gilley creates an interactive chart of R package dependencies with DeployR, rCharts, and AngularJS.
Joseph Rickert offers 15 tips for computing with Big Data in R.
Daniel Hanson provides a step-by-step guide to download financial time data from Quandl into R.
Luba Gloukhov used cluster analysis in R to allocate single-malt scotch whiskies to four distinct flavour profiles.
Some non-R stories in the past month included: Big Data Analytics predictions for 2014, forced perspective illusions, analytics with Apache Spark, wind pattern visualization, privacy by design, Big Data Analytics platforms, the leidenfrost effect, big data and video gaming and an ASCII fluid simulator.
As always, thanks for the comments and please send any suggestions to me at email@example.com. 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.