In case you missed them, here are some articles from April of particular interest to R users.
The Heritage Health Prize, a competition to build predictive models for hospitalization with USD$3.2M in prizes, is open.
The Inside-R.org community site now provides the ability to search and view the help files for CRAN packages.
Revolution R Enterprise 4.3 released: R engine updated to 2.12.2 and new features in RevoScaleR package. Free download for academics.
An overview of the functions in the RevoScaleR package for big-data model inference.
A review of the Journal of Statistical Software, vol 40.
What's new in R 2.13.0, and some benchmarks of the new byte-compiler feature.
Slides, references and replay for a webinar on using the PMML model-deployment standard with R.
Predictive modeling competition site Kaggle reports that over half of competition winners use R. Also, Revolution R Enterprise is now available free of charge for Kaggle competitors.
R is listed in a ComputerWorld feature on “22 free tools for data visualization and analysis“.
The blog Milktrader features useful examples of financial data analysis in R.
A SAS blog shows how to make 3-D graphics from SAS data … using the “cloud” function in R:
Analyst firm Gartner says “R is not only the tool of choice but the ideal environment for advanced analysis” and names Revolution Analytics a “Cool Vendor”.
Other non-R-related stories in the past month included: the origin of the aphorism, “The plural of anecdote is not data” — or is it?; P-values, multiple comparisons, and jellybeans; visualizing tax brackets and an infographic on how taxes are spent; browsing the San Andreas Fault; 250 years of Bayes' Theorem; and gardening with Gamma rays.
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.