rOpenSci community calls are online events with the fundamental goal of strengthening our community.

It has been a while since we posted an update about magick, but behind the scenes we are constantly tweaking and improving this package, which has become a very mature and complete toolkit for image processing in R. Over the past year, we did 6 CRAN releases, containing many small features and fixes, but perhaps more importantly, the package is getting betting better due to updates of the underlying ImageMagick library.

More and more R packages access resources on the web, and play crucial roles in workflows.Examples from the rOpenSci suite of packages include rromeo, GSODR, qualtRics, rnassqs, and many, many others.Like for all other packages, appropriate unit testing can make them more robust.However, unit testing of these packages can bring special challenges: dependence of tests on a good internet connection, testing in the absence of authentication

Many people in our community actively contribute to rOpenSci projects.

In this post I will explain the history behind BaseSet then a brief introduction to sets, followed by showing what you can do with BaseSet.

The rOpenSci community is supported by our Code of Conduct with a clear description of unacceptable behaviors, instructions on how to make a report, and information on how reports are handled. We, the Code of Conduct Committee, are responsible for receiving, investigating, deciding, enforcing and reporting on all reports of potential violations of our Code.

Our community is our best asset. It’s so important to us, it’s in our mission statement. We recognize that communities are not inclusive by default; they require deliberate attention, including an enforceable Code of Conduct. rOpenSci is committed to providing a safe, inclusive, welcoming, and harassment-free experience for everyone.

🔗Science craft As a field linguist, I have spent a lot of time working in villages in the Caucasus, collecting audio from speakers of indigenous languages. The processing of such data involves a lot of time-consuming tasks, so during my field trips I created my own pipeline for data collection.

A new version of vcr was just released. See the release notes for all the details. I want to highlight a few of the more notable changes. 🔗New contributor vcr has a new author: Maëlle Salmon. She has been contributing to the package quite a lot lately, including many documentation improvements and big updates to the HTTP Testing in R which covers vcr in addition to some other packages.

🔗rOpenSci HQ We’re thrilled to announce three new rOpenSci Software Review Editors: Laura DeCicco, Julia Gustavsen, and Mauro Lepore and we released the fifth version (v0.5) of the rOpenSci Developer Guide. Our Community Call on The Wild World of Data Repositories took place Dec 16 with an audience of 153 people!

The rOpenSci project is 100% supported by grants and donations. If you’re giving this season, please consider donating to rOpenSci. Your donations allow us to support internships, contractors, web services, and community events. We foster a culture that values open and reproducible research using shared data and reusable software.