We are happy to announce the brand-new R Consortium Multilingual Working Group.This Working Group came about after discussions during the R Project Sprint 2023 and will oversee the implementation of multilingual documentation support in R and organise community translation efforts.Our first project is the (experimental) rhelpi18n package, which adds multilingual documentation support!
A whole new frontend! As you may have noticed, we have given the WebUI for R-universe a big refresh. This is the biggest UX overhaul since the beginning of the project. The old “dashboard” had become a bit convoluted over the years as features and ideas were added and removed while the project was taking shape.
Developing dendroNetwork as a package was not a goal from the beginning, but looking back, I think that it should have been. I wish someone had suggested making a package to me much earlier. Why? Because of many things, but mostly: reproducibility and transparency. This enables others to also use the method and software.
It was 2015, a Political Science master’s student had to process data to hand in his thesis and decided to take the opportunity to learn how to use R. To the long and winding road of the academic requirement was added an extra degree of difficulty: incorporating programming software from scratch, with a somewhat steep learning curve.
The latest version of the opencv R package can detect and decode QR codes! # Install latest opencvinstall.packages("opencv", repos = "https://ropensci.r-universe.dev") There are two ways of using this: the ocv_qr_detect function tries to find the QR in an image file.
Maintaining a package can be a lonesome activity, which sometimes poses a problem if you prefer team work or if you encounter a very thorny-for-you problem.Beside belonging to a supportive community of maintainers (like rOpenSci 😉), for collaborative help and commiseration you can try to build a community of contributors around your package!In this post, we’ll explore one tool helping you towards that goal: “help wanted” issues, with which your
Summary Installing a package that has just been released to CRAN is painful for many users on Mac and Windows because often the difference between a ‘binary’ and a ‘source’ version is not immediately clear and they end up trying to install the source version, which leads to errors and heartbreak.When I was designing The Carpentries Workbench, I needed to make sure that people could reliably install R packages at any time
Introducing cran.dev shortlinks! On r-universe you can find package repositories from many different organizations and maintainers. But sometimes you just want to lookup a particular CRAN package, without knowing the developer.The new cran.dev shortlink service lets you navigate or link directly to the r-universe homepage and docs of any established CRAN package.
Downloading repository snapshots The new snapshot API lets you download a full copy of any CRAN-like repository on r-universe. You can use such a snapshot to mirror the entire CRAN-like repository on your own servers, or for example to build a stable, validated release of your package suite. The API endpoint is simply /api/snapshot and has several options to filter content.
I’m thrilled to share that waywiser, my R package focused on providing framework-agnostic (but tidymodels-friendly) methods for assessing models fit to spatial data 1 , has passed peer review and been accepted to rOpenSci.
