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by Joseph Rickert

In a post last week, I offered some first impressions about R/Finance 2013. Apparently, I was way off in estimating that 30% of the attendees were academics. The R/Finance organizers were quick to point out that percentage of academics attending the conference has been a constant 10% over the years; and this year was no different. Why is this important?

Today I learned about two forthcoming R books that I'm now looking forward to.

A recent quora post asked an interesting question: What interesting companies, open source projects are using R in 2013? Since we've been tracking applications of R here on the blog for a while now, I listed just some of the most recent examples:

Been trying to reach the website for the useR! 2013, the R user conference that will be held July 10-12 2013 at University of Castilla-La Mancha in Spain? There have been some server problems recently, but you can now get access at the official URL, www.r-project.org/useR-2013/.

I'm loving the Game of Thrones series, but not having read the books it has been a bit difficult keeping up with all the various families, houses and their entanglements.

The Enron email dataset, collected during the FERC investigation of the Enron financial scandal, represents the largest publicly available set of emails. This makes theman ideal testbed for sentiment analysis algorithms.

The 7th annual R/Rmetrics Workshop om Computational Finance and Financial Engineering will take place June 30-July 4 in the beatiful alpine setting of Lake Thune, Switzerland. This is an intimate workshop limited to around 50 participants, and features tutorials from leading practitioners in finance with R, with a special focus on the Rmetrics suite of R packages.

The 14th annual KDnuggets poll measuring use of analytics software is open for voting. The poll asks, "What Predictive Analytics, Big Data, Data mining, Data Science software you used in the past 12 months for a real project?" and allows up to 20 choices from commercial software, open source software, and "big data" software.