Working together to push science forward
Happy rOpenSci users can be found at
Most of us who work in R just want to Get Stuff Done™. We want a minimum amount of friction between ourselves and the data we need to wrangle, analyze, and visualize. We’re focused on solving a problem or gaining insights into a new area of research. We rely on a rich, community-driven ecosystem of packages to help get our work done and likely make an unconscious assumption that there is a safety net out there, protecting us from harm....
In my training as a AAAS Community Engagement Fellow, I hear repeatedly about the value of extending a personal welcome to your community members. This seems intuitive, but recently I put this to the test. Let me tell you about my experience creating and maintaining a #welcome channel in a community Slack group. Welcome by Nathan under CC BY-SA 2.0 I listen in on and occasionally participate in a Slack group for R-Ladies community organizers (R-Ladies is a global organization with local meetup chapters around the world, for women who do/want to do programming in R)....
Like every R user who uses summary statistics (so, everyone), our team has to rely on some combination of summary functions beyond summary() and str(). But we found them all lacking in some way because they can be generic, they don’t always provide easy-to-operate-on data structures, and they are not pipeable. What we wanted was a frictionless approach for quickly skimming useful and tidy summary statistics as part of a pipeline....
rOpenSci’s mission is to promote a culture of open, transparent, and reproducible research across various research domains. Everything we do, from developing high-quality open-source software for data science and, software review, to building community through events like our community calls and annual unconference are all geared toward lowering barriers to reproducible, open science. The rOpenSci Fellowship presents a unique opportunity for researchers who are engaged in open source to have a bigger voice in their communities....
We, Alicia Schep and Miles McBain, drove the webrockets project at #runconf17. To make progress we solicited code, advice, and entertaining anecdotes from a host of other attendees, whom we humbly thank for helping to make our project possible. This post is divided into two sections: First up we’ll relate our experiences, prompted by some questions we wrote for one another. Second, we’ll put the webrockets package into context and walk you through a fun example where you can live plot streaming sensor data from a mobile device....
Happy rOpenSci users can be found at