In case you missed them, here are some articles from September of particular interest to R users:
Todd Schneider wrote an algorithm in R to find the “most concave” US state (it's NY), and created an animation to show how it works.
Rob Hyndman (of the “forecast” package) describes how R-based forecasting saved the Australian government millions, in a video describing his new online course.
Revolution Analytics sponsored more than 60 local R user groups in 2013, and is now taking sponsorship applications for 2014.
R 3.0.2 is now available, with bug fixes and improved documentation support.
Some tips for data scientists on using R as part of a command-line tool chain.
Replay of a Google Hangout panel discussion on how open-source software including R is changing business.
Hortonworks shares some resources for getting started with Data Science and R.
R represented 57% of the software supplements to the Journal of Computational and Graphical Statistics over the past year.
Revolution Analytics partners with Teradata to bring R and big-data statistics into the database.
An article in Datanami discusses R in Hadoop.
Reports from the alpha test of the Revolution Analytics' RevoScaleR package running in Hadoop.
A survey of JSM attendees reveals concerns about data privacy and ethical frameworks for data use.
Coursera's online R courses are back on: Computing for Data Analysis started on September 23, and Data Analysis starts on October 28.
A neat R-based animation shows the progression of a Metropolis-Hastings algorithm for Bayesian estimation.
R was mentioned in articles in Data Informed and TechRepublic.
There are now more than 125 R user groups worldwide, as this map shows.
Slides from two recent Revolution Analytics presentations on: high-performance predictive analytics in R and Hadoop; and Big Data, Big Analytics.
A tutorial on how to set up R, Hadoop and RHadoop on a single workstation/laptop (for learning or testing).
R is named the top language for data science for the third year running in the KDNuggets poll.
Some non-R stories in the past month included: some terrible data visualizations, a data visualization of checkins in SF, paintings of a retro sci-fi Sweden, and software for making 3-D models from 2-D images.
As always, thanks for the comments and please send any suggestions to me at [email protected]ics.com. 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.