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Today is a day of joy for math geeks in the USA, and a day of bemusement for maths geeks everywhere else: Pi Day. (If only April had 31 days!) In fact, today is a very special once-in-a-century Pi day: at 9:26:53.5898 this morning was a "pi instant" where the time and date read out pi to 10 significant digits.

I'm celebrating Pi day on a cooking weekend with friends on an island getaway in Puget Sound. We began with pi-ella:

DeployR is a server-based framework that provides simple, secure R integration for application developers. It's available in two editions: DeployR Open, which is free and open-source; and Revolution R Enterprise DeployR, which adds a scalable grid framework and enterprise authentication features for production applications integrated with R. 

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

The John M. Chambers Statistical Software Award announcement for 2015.

by Andrie de Vries

In my previous post, I demonstrated how to get some status of running jobs on a parallel back end. However, I stopped short of actually demonstrating progress bars. In this post I demonstrate how to do this.

R 3.1.3, the final update in the R 3.1 series, has been released. As of this writing only the source distribution is currently available, but expect binary builds for Windows, Mac and various Linux platforms to appear soon on your local CRAN mirror.

Clearly these divers are underwater. But what are they extracting with their drills and ... a wheelbarrow?

 

It's always interesting how strange things can look with a twist in perspective! And don't worry, the wheelbarrow was recovered from the bottom of the amazingly clear Lake Saarijärvi in Finland.

That's all for this week. We'll be back on Monday — see you then!

It's fair to say that Hadley Wickham, chief scientist at RStudio and a new member of the R Foundation, has made great contributions to the R community.

by Joseph Rickert

R user group activity is still on the rise. The following plot of the number of R user group meetings listed on Revolution Analytics' Community Calendar over the most recent 114 weeks shows a slight 

to upward trend along with a couple of annual cycles. Predictably, meetings trail off in the summer months and again late in the year during the holiday season.

Given all the attention the internet has given to the colors of this dress, I thought it would be interesting to look at the capabilities for extracting colors in R.