In case you missed them, here are some articles from May of particular interest to R users.
RStudio 0.99 released with improved autocomplete and data viewer features.
A tutorial on the new Naive Bayes classifier in the RevoScaleR package.
R is the most popular Predictive Analytics / Data Mining / Data Science software in the latest KDnuggets poll.
A Shiny application predicts the winner of baseball games mid-game using R.
A list of over 100 open data sources you can use with R.
A review of talks at the Extremely Large Databases conference, featuring Stephen Wolfram and John Chambers.
My TechCrunch article on the impact of open source software on business features several R examples.
You can improve performance of R even further by using Revolution R Open with Intel Phi coprocessors.
New features in Revolution R Enterprise 7.4, now available.
The next release of SQL Server will run R in-database.
Create embeddable, interactive graphics in R with htmlwidgets.
Computerworld reviews R packages for data wrangling.
A tutorial on using data stored in the Azure cloud with R.
Using histograms as points in scatterplots, and other embedded plots in R.
A comparison of data frames, data.table, and dplyr with a random walks problem.
A video on using R for human resources optimization.
How to call R and Python from base SAS.
General interest stories (not related to R) in the past month included: a song written by an iPhone, a Facebook algorithm that tells when “like” becomes “love”, a map of light pollution and a machine-learning application that tells you how old you look.
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.