In case you missed them, here are some articles from June of particular interest to R users.
The Environmental Performance Index website uses R to rank countries by measures like environmental health and ecosystem vitality.
A log-linear regression in R predicted the gold-winning Olympic 100m sprint time to be 9.68 seconds (it was actually 9.63 seconds).
Some R-related talks from the Revolution Analytics team and others at the 2012 JSM conference.
Big vectors (with more than 2^31 elements) are coming to R.
R gets a somewhat oblique mention in the Finance section of the New York Times.
Improvements to the rmr package make R-based map-reduce jobs in Hadoop faster.
Overview of articles in the June 2012 edition of the R Journal.
An analysis of uses of “soda” vs “pop” on Twitter results in a linguistic map of the US and the world.
A guide for preparing public data for analysis with R.
A “statistics hacker” describes the tools (R included) he uses for data science.
The lpSolveAPI package has powerful mixed-integer programming capabilities, as this cargo optimization example demonstrates.
R is used by more than 500 statisticians at Google, who use Google's “Flume” package to model terabytes of data with R.
The SAScii package parses SAS scripts with PROC IMPORT statements (provided with many public data sets) to import data into R.
The emotion of the deciding Premier League Championship games with Manchester United and Manchester City was captured in Twitter and visualized with R.
How Statistics played a role in the discovery of the Higgs Boson.
A big list of R's features and capabilities.
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 like Google Reader, or by following me on Twitter (I'm @revodavid). You can find roundups of previous months here.