In case you missed them, here are some articles from April of particular interest to R users.
Joseph Rickert reviews the inaugural New York City R User Conference, featuring Andrew Gelman.
Engineer Vineet Abraham compares performance benchmarks for R and Revolution R Open on OS X and Ubuntu.
R was featured in the keynotes for the BUILD developer’s conference.
Mark Malter created a Shiny application to explore baseball statistics.
A curated list of the best packages, add-ons and resources for R according to Qin Wenfeng.
An analysis of paintings from British museums reveals an increasing use of the colour blue over the last two centuries.
Journalists are increasingly referencing source research via DOIs, and packages from rOpenSci allow R users to access that research programmatically.
Microsoft is hiring programmers to work on R-related projects.
Some examples of visualizing the results of hierarchical clustering with a heat map.
The Financial Times published an interactive data visualization based on R to explore European unemployment statistics.
Announcing R 3.2.0.
Recent R user group meetings have covered Shiny, SparkR, htmlwidgets, and dynamic pricing models.
A story about teaching R to archaeologists in Myanmar, and coping with package installation in a low-bandwidth environment with the miniCRAN package.
RPowerLabs allows electrical engineers to experiment on virtual power distribution systems.
Two high-performance packages from RStudio for reading data into R: readr (for text data) and readxl (for Excel data).
A list of the top 25 R user groups in the world by membership.
The choroplethrZip package allows R users to create data maps from US zip codes.
Revolution Analytics is now a subsidiary of Microsoft.
DeployR 7.4, a web-services framework for integrating R code to other applications, is now available for download.
Coarse-grained parallel computing with R on servers and Hadoop with rxExec in Revolution R Enterprise.
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