Site icon R-bloggers

Notes from the Kölner R meeting, 12 September 2014

[This article was first published on mages' blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Last Friday we had guests from Belgium and the Netherlands joining us in Cologne. Maarten-Jan Kallen from BeDataDriven came from The Hague to introduce us to Renjin, and the guys from DataCamp in Leuven, namely Jonathan, Martijn and Dieter, gave an overview of their new online interactive training platform.

Renjin

Maarten-Jan gave a fascinating introduction to Renjin, an R interpreter in the Java virtual machine (JVM).
Why? Suppose all your other application are in the Java ecosystem, than an R engine in the JVM can use your tools for profiling/debugging, project/dependency management, release/repository management, continuous integration, component lifecycle management, etc. Additionally, it would allow you to host R applications in the cloud via services such as Google’s App Engine, without the need to manage your own server.

Renjin’s base is meant to be 100% compatible with R base version 2.14.2. Currently about 3/4 of all R primitive functions are implemented. Still, Renjin looks quite powerful already. You can test Renjin on Google’s app engine:



You find Maarten-Jan’s slides on the Renjin web site, which is also the best place to get started. If you want to dive deeper into the sources, then vist the Renjin repository on GitHub.

By the way, Renjin is not the only R engine that emerged alongside GNU R, other popular engines are pqR, fastR and TERR, all with their individuals aims and purposes.

DataCamp

Over the last year the guys behind DataCamp have created a lot of momentum in the online R training space. Alongside their main site DataCamp.com they also developed and maintain Rdocumenation.org and R-Fiddle.org.

The slides can be accessed here.

DataCamp ambitions are big, they want to make technical training scalable. Instructors can create course work in RMarkdown and host them on DataCamp. The student can follow the interactive course and carry out exercises as they go along. The clever software behind DataCamp provides immediate feedback to the student, without the need for the instructor to mark their homework. DataCamp provides access to some exciting free courses already, with premium courses on special subjects such as data.table to launch soon.

Next Kölner R meeting

The next meeting is scheduled for 12 December 2014.

Please get in touch if you would like to present and share your experience, or indeed if you have a request for a topic you would like to hear more about. For more details see also our Meetup page.

Thanks again to Bernd Weiß for hosting the event and Revolution Analytics for their sponsorship.
To leave a comment for the author, please follow the link and comment on their blog: mages' blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.