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 ... [Read more...]

And finally, we end our series of unconf project summaries (day 1, day 2, day 3, day 4). mwparser Summary: Wikimarkup is the language used on Wikipedia and similar projects, and as such contains a lot of valuable data both for scientists studying collaborative systems and people studying things documented on or in Wikipedia. ... [Read more...]

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My friend Jonah asked me to guest lecture in his R seminar aimed at grad students and postdocs in Integrative Biology. I gave Jonah a bunch of topic options ranging from reproducible research with R to data manipulation. The consensus was data visualization so I put together a 2 hour talk/... [Read more...]

A few weeks back I gave a talk at the local Berkeley R meetup group. The idea was to help people not make the same mistakes I made when I first started out learning R. It was the first time I made an entire presentation with Deck.js and I ... [Read more...]

I’ve neglected this blog for quite some time but I’m getting around to finishing up a bunch of draft posts. But here is a quick one: Listing objects in your global environment A simple ls() doesn’t really tell you enough useful information at a glance. Most often ... [Read more...]

We just got word that rOpenSci was a runner-up in the first Binary Battle!  Thank you for all the support so far! We entered two of our packages for integrating with PLoS Journals (rplos) and Mendeley (RMendeley) in the Mendeley-PLoS Binary Battle.  Get them at GitHub (rplos; RMendeley). These two ... [Read more...]

I searched around to see if there was a blog post somewhere describing how to customize one’s .rprofile but was surprised to find just one outdated post. So here is quick intro on the topic. If you are a power R user, you already know about what it does. ... [Read more...]

In early May I had the opportunity to attend a workshop on using high performance computing in R hosted at Nimbios. I’ve been meaning to write a summary of the meeting ever since but got sidetracked by various other projects. Since a collaborator recently asked for meeting notes I ... [Read more...]

As an ecologist working on climate change questions, I’ve always found it rather tedious to acquire and process climate data, especially when dealing with large spatiotemporal scales. Although many agencies provide free access to climate data, there is often some overhead (typically one to two days) before the data ... [Read more...]

rOpenSci is a collaborative effort to develop R-based tools for facilitating Open Science. So what is Open Science?  Open science is the practice of making various elements of scientific research — data & methods, code & software, and results & publications — readily accessible to anyone. While this has great potential for advancing research (in [...] [Read more...]

I’ve been battling memory limits in R for over two years. Although R has numerous resources for high-performance computing, I still couldn’t get around hardware limitations. Things really got out of control last summer when I started analyzing data on how climate change influences population synchrony across large ... [Read more...]

Unless you regularly use particular R packages,  it’s becomes difficult to stay on top of updates and bug fixes.  Updates usually also include significant improvements in performance.  I wrote this short snippet of code which I run about once a month to keep up on updates. This short bit ... [Read more...]