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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.

Today's guest post comes from Garrett Grolemund, a software developer at RStudio  ed.

Today's guest post is by Naomi Robbins, author of the Effective Graphs blog  ed.

Today's guest post comes from Nathan Yau. Nathan runs FlowingData, a site on statistics and visualization, and is the author of Visualize This.