🔗Continuous deployment in r-universe A major difference between r-universe and static repositories like CRAN and BioConductor is continuous deployment: packages in r-universe are continuously built in CI and immediately deployed to our package server. This package server stores binaries and metadata in a database, which enables us to dynamically query and expose all the package data through APIs, dashboards, feeds, etc.

When GitHub announced support for CITATION.cfffiles I though ofcreating a package that would assist R developers in this matter. I was alreadyusing codemetar for most of my packages,so I was familiar with the creation of these kind of metadata files.

A new R package, cffr, has beendeveloped,peer-reviewed byrOpenSci and accepted by CRAN. Thispackage has a single purpose: to create a valid CITATION.cff file using themetadata of any R package. 🔗CITATION.cff files and why they matter A Citation File Format (CFF) is aplain text file with human- and machine-readable citation information forsoftware (and datasets) ¹ . Under the hood, a CFF file is a YAML file.

rOpenSci Software Peer Review’s guidance is gathered in an online book and keeps improving!To find out what’s new in our dev guide 0.7.0, you can read the changelog,or this blog post for more digested information. 🔗@ropensci-review-bot help: less TODOs, more simple commands!

I teach R to a lot of scientists, those that are new to science (i.e. students)as well as more established scientists, new to R.I find that after all their struggles of dealing with dates,or remembering where to put the comma, they’re so grateful to actual have an analysis,that they often forget or aren’t aware of the next steps.

Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog.Now let’s dive into the activity at and around rOpenSci!

🔗Badges in r-universe After creating your personal universe, the dashboard on https://{yourname}.r-universe.dev shows the version and other details for each package in your repository. We have also added a new tab that lists the available badges for the repository.

We are excited to welcome Emily Riederer, Adam Sparks, and Jeff Hollister to our team of Associate Editors for rOpenSci Software Peer Review.They join Laura DeCicco, Julia Gustavsen, Anna Krystalli, Mauro Lepore, Karthik Ram, Noam Ross, Maëlle Salmon, and Melina Vidoni.

Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog.Now let’s dive into the activity at and around rOpenSci! 🔗rOpenSci HQ A first package was submitted to rOpenSci Statistical Software Peer Review, two months after its opening: the tsbox package by Christoph Sax.We are very excited, and thankful for the opportunity to hone our new software review tooling!

As two postgrad students on summer vacation but with no travel plans (during this global pandemic of course), we took up an internship at King Abdullah University of Science and Technology (KAUST) last summer and ended up collaborating on a really cool project with Paula Moraga! Did we mention that we worked in Saudi Arabia, while living in Australia? All is well when we have the internet. We also ended up presenting our project at useR!

Have you ever found a command-line tool that’s perfect for getting your job done, and wanted to use it from an R script or package?E.g. some sort of scientific software providing a specific functionality made available though a command-line interface (CLI)? In this post, we have a look at a few options for writing such CLI wrappers in R.In particular, we compare the base R functions system() and system2(), the sys package and the processx