Building Communities Together at ozunconf, 2017

Nicholas Tierney OCTOBER 31, 2017

Just last week we organised the 2nd rOpenSci ozunconference, the sibling rOpenSci unconference, held in Australia. Last year it was held in Brisbane, this time around, the ozunconf was hosted in Melbourne, from October 27-27, 2017. At the ozunconf, we brought together 45 R-software users and developers, scientists, and open data enthusiasts from academia, industry, government, and non-profits. Participants travelled from far and wide, with people coming from 6 cities around Australia, 2 cities in New Zealand, and one city in the USA.

Chat with the rOpenSci team at upcoming meetings

Stefanie Butland AUGUST 11, 2017

You can find members of the rOpenSci team at various meetings and workshops around the world. Come say ‘hi’, learn about how our packages can enable your research, or about our onboarding process for contributing new packages, discuss software sustainability or tell us how we can help you do open and reproducible research.

Unconf 2017: The Roads Not Taken

Noam Ross AUGUST 8, 2017

Since June, we have been highlighting the many projects that emerged from this year’s rOpenSci Unconf. These projects start many weeks before unconf participants gather in-person. Each year, we ask participants to propose and discuss project ideas ahead of time in a GitHub repo. This serves to get creative juices flowing as well as help people get to know each other a bit through discussion. This year wasn’t just our biggest unconf ever, it was the biggest in terms of proposed ideas!

skimr for useful and tidy summary statistics

Eduardo Arino de la Rubia Shannon Ellis Julia Stewart Lowndes Hope McLeod Amelia McNamara Michael Quinn Elin Waring Hao Zhu JULY 11, 2017

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.

packagemetrics - Helping you choose a package since runconf17

Becca Krouse Erin Grand Hannah Frick Lori Shepherd Sam Firke William Ampeh JUNE 27, 2017

Before everybody made their way to the unconf via LAX and Lyft, attendees discussed potential project ideas online. The packagemetrics package was our answer to two related issues. The first proposal centered on creating and formatting tables in a reproducible workflow. After many different package suggestions started pouring in, we were left with a classic R user conundrum: “Which package do I choose?” With over 10,000 packages on CRAN - and thousands more on GitHub and Bioconductor - a useR needs a way to navigate this wealth of options.

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