In case you missed them, here are some articles from last month of particular interest to R users.
We announced that Zack Urlocker, formerly responsible for engineering and marketing for the open-source database company MySQL, has joined REvolution’s board of directors. This article in InformationWeek provides more info about Zack’s background and the parallels between MySQL and R.
We linked to an analysis using R on the official Google Blog on search traffic related to the Winter Olympics.
We linked to the article, "You Can Predict that R Will Succeed", published in Intelligent Enterprise.
We crossposted an essay by Norman Nie, CEO of REvolution, on how open-source software (especially R) is opening data to predictive analytics.
We linked to an intriguing cluster analysis and map of eating habits around the world.
We reviewed Frank Harrel’s rreport package for clinical reporting from R via Sweave.
We linked to an analysis in R of rainfall in Australia over the past 100 years, and the impact of the 2000-2007 drought.
We linked to Tal Galili’s chart in R on the value of vitamins and other nutritional supplements.
We provided a detailed review of Tim O’Reilly’s thought-provoking keynote at the OSBC conference: he says open data is now more of an issue than open source.
We announced the webinar I’m giving April 14 on high-performance computing in R, and how to distribute computations on Windows HPC Server.
We linked to an application of R for tracking commits to a software project managed in SVN.
We relayed the news that R 2.11.0 will be released on April 22.
We linked to video of a short course on graphics with R presented by ggplot2 author Hadley Wickham.
We linked to an article in Information Management about MARS analysis (from the "earth" package) in R.
We reviewed a popular article about how R was used to find predictors for the best pizza in New York City.
We looked at smoothing in R, and linked to a how-to guide to create presentation-quality smoothed charts.
We linked to an analysis of the ideological leanings of professions and companies, and a neat visualization of the results in ggplot2.
Other non-R-specific posts in the past month covered: why a salad costs more than a Big Mac in the US, visualizing the Pacific tsunami following the Chilean earthquake, Edward Tufte at the White House, 3-D Mandelbrot sets, the results of the Future of Open Source Survey, the abuse of statistical methods in the science literature, and (on a lighter note) Tufte vs Powerpoint vs kittens.
The R Community Calendar has also been updated.
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.