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I had no idea Chatroulette was still going strong, but for those that aren't familiar, it's a web application where you're randomly connected via video chat to a stranger.

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

Ricky Ho has created a reference a 6-page PDF reference card on Big Data Machine Learning, with examples implemented in the R language. (A free registration to DZone Refcardz is required to download the PDF.) The examples cover:

While most R packages on CRAN are designed to be used by an R user directly, a few packages are designed to be used by other package developers. (And some packages are so useful that they're regularly used by both camps.) When a package author publishes a package to CRAN, she must list those packages that provide functions her package uses (this is the Depends: field in the DESCRIPTION file).

Even though forums and question-and-answer services like StackOverflow are emerging as the place to find crowdsourced technical help when using software like R, the traditional r-help email list is still going strong.

Ars Technica is always an amazing source of in-depth science and technology reporting, and this article on the formation of supermassive black holes is no exception. But it was this simulation of galaxy formation (by Jillian Bellovary and Fabio Governato) really took my breath away:


KDnuggets recently posted its annual poll on data mining software, and the R language retains its #1 ranking as the most commonly-used software for data mining:

Revolution Analytics is hosting several live and online courses over the next couple of months that will be of interest to R users looking to hone their skills:

If you haven't made the plunge yet to making R graphics with Hadley Wickham's ggplot2 package, his "ggplot2 basics" slides (from the recent Introduction to Data Visualization and Analysis course at JSM) is a good place to start.