rOpenSci HQ

• The recording, collaborative notes and links to community discussion and resources are up for our latest Community Call on Maintaining an R package. Panel moderated by Julia Silge included Elin Waring, Erin Grand, Leonardo Collado-Torres, and Scott Chamberlain.

Software Peer Review

1 staff-contributed package passed software peer review.

• parzer – Parse messy geographic coordinates. Author: Scott Chamberlain; Reviewers: Julien Brun, María Victoria Munafó; Read the Review

On March 16, we paused new submissions for software peer review for 30 days (possibly longer) in the interest of reducing load on reviewers and editors in light of the COVID-19 crisis.

Software

5 new packages from the community and our staff are on CRAN.

• ghql – General purpose GraphQL client for R. Author: Scott Chamberlain

• osfr – Interface to the Open Science Framework (OSF). Author: Aaron Wolen

• outsider.base – Base package for outsider. Author: Dom Bennett

• parzer – Parse messy geographic coordinates. Author: Scott Chamberlain

• taxadb – A High-Performance Local Taxonomic Database Interface. Author: Kari Norman

On the Blog

From the rOpenSci team

• parzer: Parse Messy Geographic Coordinates Tech Note – Scott Chamberlain

• 10 Things We Learned in Creating the Blog Guide with bookdown – Stefanie Butland, Maëlle Salmon

• 2 Months in 2 Minutes – rOpenSci News, February 2020 – Stefanie Butland

From the community

• rOpenSci’s Leadership in #rstats Culture – Julia Stewart Lowndes

• opentripplanner: Fast and Easy Multimodal Trip Planning in R with OpenTripPlanner Tech Note – Malcolm Morgan

• Supercharge your GitHub Actions Experience with tic Tech Note – Patrick Schratz

Use Cases

• 76 published works cited or used rOpenSci software (listed in individual newsletters)

• 2 use cases for our packages or resources were posted in our discussion forum Look for microdemic, magick

Have you used an rOpenSci package? Share your use case and we’ll tweet about it.

From the Forum

We have a discussion forum (using Discourse) for the rOpenSci community. It’s a really nice way to have conversations on the internet. From time to time we’ll highlight recent discussions of interest.

• Peter Desmet asked a question that many R package maintainers run in to: What if raw data in package is too large?

• Emilio Bruna asked: What is best practice when a dependency is removed from CRAN?

In the News

• Python 101: Learning About Lists – A good introduction to lists in Python; they’re kind of like R lists. It’s an important data structure to know if you’re going to be learning Python

• Necessary & Sufficient – A good read on how to think about testing in general

Keep up with rOpenSci

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Follow @rOpenSci on Twitter.

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