In case you missed it: September 2013 Roundup

October 11, 2013
By

(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.

To leave a comment for the author, please follow the link and comment on his blog: Revolutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.