A few weeks back I dedicated a short amount of time to actually read what plyr (Wickham, 2011) is about and I was surprised. The whole idea behind plyr is very simple: expand the apply() family to do things easy. plyr has...

R news and tutorials contributed by (552) R bloggers

(This article was first published on Learning Data Science , and kindly contributed to R-bloggers) On va dans ce post, illustrer une utilisation simple des packages twitteR, StreamR, tm qui permettent faire du textmining. En réalité, les deux premiers permettent de récuperer les tweets et de faire des comptages simples et complexes et le dernier permet de faire du...

At RStudio, we’re hosting our Introduction to R Workshop this May in two locations. As an R-help subscriber, we’re offering 10% off! Intro to data science with R (http://goo.gl/bplg3) May 13-14 New York City Intro to data science with R (http://goo.gl/VCUFL) May 20-21 San Francisco Bay Area What will you learn? Practical skills for visualizing, transforming, and modeling data in R....

Here is an interview with Ron Hochreiter, Assistant Professor at WU Vienna University Economics and Business. In 25 words or less tell us what you do (using German words is cheating). I consider myself as a data scientist (teaching and research) with roots in Mathematical Programming, i.e. Optimization under Uncertainty (Stochastic Programming). You were an The post Interview...

For reasons beyond my understanding, the user 2013 committee didn’t register a domain name for the website, and the official address of the conference is: http://161.67.142.97/congresos/useR-2013/. Not only is this impossible to remember for humans, but it won’t show up in search engines. So I decided to help them out and invest 8 euro to ...

More exciting news about MCMSki IV! First thing first, the 16 contributed sessions are now all-set, having gotten the stamp of approval from the scientific committee! Thanks to everyone who submitted a session proposal. (There were so many proposals that we alas had to reject some, as well as every single talk proposal… Sorry people:

(This article was first published on Quantifying Memory, and kindly contributed to R-bloggers) In this post I show how to select relevant bits of the GDELT data in R and present some introductory ideas about how to visualise it as a network map. I've included all the code used to generate the illustrations. Because of this, if you here...