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(Re)introducing skimr v2 - A year in the life of an open source R project

Theme song: PSA by Jay-Z We announced the testing version of skimr v2 on June 19, 2018. After more than a year of (admittedly intermittent) work, we’re thrilled to be able to say that the package is ready to go to CRAN. So, what happened over the last year? And why are we so excited for v2? 🔗 Wait, what is a “skimr”? skimr is an R package for summarizing your data....

rmangal: making ecological networks easily accessible

In early September, the version 2.0.0 of rmangal was approved by rOpenSci, four weeks later it made it to CRAN. Following-up on our experience we detail below the reasons why we wrote rmangal, why we submitted our package to rOpenSci and how the peer review improved our package. 🔗 Mangal, a database for ecological networks Ecological networks are defined as a set of species populations (the nodes of the network) connected through ecological interactions (the edges)....

2 Months in 2 Minutes - rOpenSci News, October 2019

🔗 rOpenSci HQ What would you like to hear about in an rOpenSci Community Call? We are soliciting your “votes” and new ideas for Community Call topics and speakers. Find out how you can influence us by checking out our new Community Calls repository. Videos, speaker’s slides, resources and collaborative notes from our Community Call on Reproducible Workflows at Scale with drake are posted. Help wanted!...

What are Your Use Cases for rOpenSci Tools and Resources?

We want to know how you use rOpenSci packages and resources so we can give them, their developers, and your examples more visibility. It’s valuable to both users and developers of a package to see how it has been used “in the wild”. This goes a long way to encouraging people to keep up development knowing there are others who appreciate and build on their work. This also helps people imagine how they might use a package to address their research question, and provides some code to give them a head-start....

cran checks API: an update

If you have an R package on CRAN, you probably know about CRAN checks. Each package on CRAN, that is not archived on CRAN1, has a checks page, like this one for ropenaq: https://cloud.r-project.org/web/checks/check_results_ropenaq.html The table above is results of running R CMD CHECK on the package on a combination of different operating systems, R versions and compilers. CRAN maintainers presumably use these as a basis for getting in touch with maintainers when these checks are failing....

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