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In case you missed it: September 2013 Roundup

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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More Stories By David Smith

David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid

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