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

An alternative to stacked bar charts with the streamgraphs package.

Joseph Rickert shares his process for creating the monthly new and updated packages "spotlight" feature on MRAN.

A couple of lads wanted to set a world record by shooting a basket from the top of the 415-ft high Gordon Dam in Tasmania. They made the basket, but that wasn't coolest bit. In a second attempt, they gave the basketball a bit of backspin, and well ... just see how far it flew:


There's a new podcast in town, and it's focused on R. Four members of the R community (Oliver Keyes, Wikimedia Foundation; Jasmine Dumas. DePaul University; Ted Hart, Silcon Valley "fruit vendor"; and Mikhail Popov, Wikimedia Foundation) have banded together to produce R Talk, a podcast about "the R Programming language, featuring news, interviews and dives into how R is used in different academic and indutry fields".

by Andrie de Vries

In a previous post, I used page rank and community structure to create a plot of CRAN.  This plot used vibrant colours to allow us to see some of the underlying structure of CRAN.

However, much of this structure was still obfuscated by the amount of detail. Concretely, a large number of dots (packages) made it difficult to easily see the community structure.

R is an incredibly active software project. Since the first code was checked into Subversion back on 18 September 1997, there have been more than 100,000 updates to the R sources by the 20-some members of the R Core Team.

If you're a technical type (a programmer or engineer) who's ever been pulled into a business meeting, this may seem familiar to you. Horrifyingly familiar.


In that situation, I don't think I'd have been able to resist suggesting a seven-dimensional chromatic-agnostic platform as the solution (with the full expectation that the account manager would immediately promise to deliver it!).

That's all for this week. We'll be back on Monday — enjoy your weekend!

It's not easy to visualize a quantity that varies over time and which is composed of more than two subsegments. Take, for example, this stacked bar chart of religious affiliation of the Australian population, by time: