In case you missed it: September 2013 Roundup

October 11, 2013

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

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.

On Talk Like a Pirate Day — Rrrr! — R was used to chart real-life pirate attacks, create a pun-inspired pirate flag, and the Revolution Analytics staff had some pirate fun.

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]. 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.

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