🔗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
TLDR: As of today, the pkgdown sites for all rOpenSci packages on our docs server are built on r-universe. This is an internal change; no action is required for package maintainers. 🔗From Jenkins to r-universe For the past 2 years we have been using a Jenkins server to automatically build the pkgdown sites for all rOpenSci packages, which get published on https://docs.ropensci.org.
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 🔗Recordings of useR! 2021 Recordings of useR! 2021 are now available on the conference website.
We’re excited to announce that we’ll be hosting monthly social coworking + office hours sessions via Zoom, starting September 7th!
🔗Summary censo2017 is an R package designed toorganize the Redatam 1 filesprovided by the Chilean National Bureau of Statistics (Instituto Nacional deEstadísticas de Chile in spanish) in DVD format 2 . This package was inspiredby citesdb(Noam Ross, 2020) and taxadb(Carl Boettiger et al, 2021).This post is about thispackage, the problem it solves, how to use it, and the fact that the package andits review process were all
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!
A new rOpenSci package katex is now on CRAN.This package allows for converting latex math expressions to HTML and MathML for use in markdown documents or package documentation. The R package uses the katex javascript library, but the rendering is done directly in R using the V8 engine (i.e. server-side), which eliminates the need for embedding the MathJax library into html pages.