Skip to Content


The official T-shirt for the useR! 2014 R user conference (to be held June 30 - July 3 at UCLA) will be the result of open source contributions and reproducible research.

The organizers of the conference are soliciting designs for the official T-shirt — but there's a catch. The image on the front of the T-shirt will be created entirely with R code, and the R code itself will be displayed on the back.

If you're in the Philadelphia area and want to hack on some data with other R users this evening, come to the IntegriChain/Revolution Analytics Meetup at Drexel University. There will be an short lecture to introduce the problem, followed by a hacking session (virtual machines with Revolution R software and data will be provided).

By Matt Sundquist Plotly's Co-Founder

Here at Plotly, we are on a mission to build a platform where data scientists can analyze data, create beautiful graphs and collaborate: like a GitHub for data, where you can share and find plots, data, and code. The benefits are:

Facebook is a company that deals with a lot of data — more than 500 terabytes a day — and R is widely used at Facebook to visualize and analyze that data.

Ever wondered where on your body is the most painful place to be stung by a bee? Me either, but Michael Smith from Cornell's Department of Neurobiology and Behavior was eager enough to find out that he stung himself 25 to find out which location was the most painful. (Thanks BR for the tip.)

Looking for a fun and useful intro to R for first-timers, with bonus cat pictures? Look no further than R for Cats, from Scott Chamberlain of ROpenSci. In addition to very helpful tips on R syntax, data structures, and an excellent list of dos and don'ts, it also shows you how to do this with R: 

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

Registration is now open for the useR! 2014 R conference in Los Angeles. 

In a new article for FastCoLabs, journalist Tina Amirtha has published a follow-up article to last month's piece on R's impact on open science. In her latest article, the focus is on how R is used at companies and displacing legacy statistics software like SAS: