In case you missed it: July 2013 Roundup

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In case you missed them, here are some articles from July of particular interest to R users:

A new 90-second, creative commons video helps R enthusiasts share the history, community and applications of R.

Analyst group Butler Analytics reviews 10 predictive analytics platforms, and says that “real analysts use R”.

An excellent example of Simpsons Paradox: US median wages rose overall, but within every educational subgroup, they declined.

Some tips on identifying R functions that will benefit most from byte compilation, and how to enable automatic package compilation.

Joe Rickert's poster at useR! 2013 lists the ways that Revolution Analytics supports the R community.

Andrie deVries describes applications of survival analysis techniques to solve the problem of marketing attribution.

A Shiny app by Ramnath Vaidyanathan displays the real-time status of bike-sharing programs in more than 100 cities.

The new (and free) O'Reilly mini-book on real-time analytics includes a section on a big-data architecture with R.

Thomas Levine's “R spells” includes some useful R tricks you might not know about.

A review of the Rcpp tutorial at useR! 2013, with some benchmarked examples combining R and C++ code.

Slides from the Hadoop Summit talk “High Performance Predictive Analytics in R and Hadoop” by Revolution Analytics' US Chief Scientist Mario Inchosa.

My two-part review of some talks from the useR! 2013 conference: part 1 and part 2.

Joe Rickert looks at the new big-data tree algorithm behind the rxDTree function in the RevoScaleR package.

Digital marketing company X+1 uses Revolution R Enterprise for real-time marketing optimization based on statistical models in R.

Some highlights from the June 2013 issue of the R Journal.

Meet the members of the Revolution Analytics team in London.

A map of R user groups worldwide.

Highlights and photos from some recent R user group meetings around the world.

Some non-R stories in the past month included: what not to do when analyzing data, results of a survey of data scientists, a red-hot ball of nickel meets a block of ice, a lion reunites with his caretakers and one picture that looks like four.

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, or by following me on Twitter (I'm @revodavid). You can find roundups of previous months here.

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