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As an open-source project, the R source code has always been available to download from the R-project website. You can find source code for the latest released version here, and for the changing-daily new version in progress (R-devel) here.

Last month we shared an visualization showing the changing extent of Arctic sea-ice. This visualization by the multinational Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) switches the view to the Southern pole and takes the visualization to a whole new level, by animating it in 3-D:

I had a great time yesterday moderating the "R in Action" panel discussion at the DataWeek conference in San Francisco. Each of the panelists represented a company that is actively using R and/or Revolution R Enterprise. Here (from memory, since I couldn't take notes) are some the things they shared:

I'm back from a very relaxing holiday in Australia. Many thanks to our guest bloggers for filling in over the last couple of weeks with some great information about R while I was away. If you missed any of the posts, be sure to check them out:

Coursera offers a number of on-line courses, all available for free and taught by experts in their fields. Today, the course Computing for Data Analysis begins. Taught by Johns Hopkins Biostatistics professor (and co-author of the Simply Statistics blog) Roger Peng, the course will teach you how to program in R and use the language for data analysis.

Today's guest post comes from Revolution Analytics data scientist Luba Gloukhov — ed.

Today's guest post comes from Winston Chang, a software developer at RStudio  ed.

When it comes to making figures in R, you can use any font you like, as long as it's Helvetica, Times, or Courier. Using other fonts that are installed on your computer can seem an impossible task, especially if you want to save the output to PDF.

This guest post is by Alex Guazzelli, VP of Analytics at Zementis Inc. -- ed.


PMML, the
Predictive Model Markup Language, is the de facto standard to represent predictive
analytics and data mining models. With PMML, it is extremely easy to move a
predictive solution from one system to another, since it avoids proprietary
issues and incompatibilities.

Today's guest post comes to us from Andrew Winterman, Data Designer at data visualization company Persiscopic. He shares with us the process of using the R language and other tools to create an interactive data application for a client — ed. 

Today's guest post is from Ron Fredericks, videographer and co-founder of LectureMaker, LLC  ed.

I was initially surprised to find R user groups (RUGs) so popular. I filmed my first R session during the 2009 Predictive Analytics World in San Francisco. I filmed several more R user sessions over the past three years along with business/science clients and TEDx groups to name a few. I found the R user crowd to be very enthusiastic and rooms fully attended.