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If you have an iPhone, you've probably noticed the new(ish) autocomplete feature: when entering text, iOS8 gives you three choices for a possible next word in the sentence. (And yes, if you have an Android phone you've had this feature for like, ever.) If you keep on pressing the middle button you'll get a sentence that is syntactically correct but largely content-free.

If you download R or Revolution R Open, the R interface is pretty stark — you'll get a command prompt, and not much else. That's fine for quick, interactive calculations, but if you need to do any serious scripting or programming in R, you'll need an interactive development environment (IDE) to be productive.

R is the leading choice for Predictive Analytics / Data Mining / Data Science software according to the results of the 2015 KDnuggets Software Poll, now in its 16th year. Each of the 28,000 participants selected one or more tools they had used in the last year from a list of 93 options, and R was selected by 46.9% of participants (up from 38.5% in 2015).

R is an environment for programming with data, so unless you're doing a simulation study you'll need some data to work with. If you don't have data of your own, we've made a list of open data sets you can use with R to accompany the latest release of Revolution R Open.

The latest update to Revolution R Open, RRO 3.2.0, is now available for download from MRAN. In addition to new features, this release tracks the version number of the underlying R engine version (so this is the release following RRO 8.0.3).

Revolution R Open 3.2.0 includes:

Earlier this month TechCrunch published an article of mine, "The Business Economics And Opportunity Of Open-Source Data Science". With this article I wanted to share how open-source software has disrupted the economics of doing business, now that data is a fundamental component of every businesses' operations.

by Andrew Ekstrom
Recovering physicist, applied mathematician and graduate student in applied Stats and systems engineering

We know that R is a great system for performing statistical analysis. The price is quite nice too ;-) . As a graduate student, I need a cheap replacement for Matlab and/or Maple. Well, R can do that too. I’m running a large program that benefits from parallel processing. RRO 8.0.2 with the MKL works exceedingly well.