🔗R-universe: your personal R space The r-universe platform provides users and organizations with a personal CRAN-like repository for publishing software, rmarkdown articles, and other content that fits in an R package.
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 🔗R-universe Video and resources from our past community call about rOpenSci’s R-universe Project were posted.
Happy World Ocean Day! World Ocean Day is a day of celebration and action to protect our shared ocean. While I already appreciate the importance of protecting sensitive ecosystems, including the ocean 1 , I found the idea of World Ocean Day especially touching.
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 We have no less than three categories of (online 😉) events coming up: social co-working events, a community call, a conference with contributions from four rOpenSci staff members.
terrainr version 0.4.0 is now on CRAN! This version is a relatively minor updatethat shouldn’t impact most workflows, but makes some changes to improve thelogic and consistency of the package. The rest of this post runs through thechanges you can expect if you update.packages any time soon! 🔗What’s a terrainr? terrainr is an R package for theretrieval and visualization of spatial data.
Last Thursday we held a Community Call discussing how to set up a Package to Foster a Community. This call included speakers Maëlle Salmon, Hugo Gruson and Steffi LaZerte, and was moderated by Stefanie Butland. 🔗Summarizing the community call Scientific software development - and with that R packages - is a community effort.
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!
🔗Browsing articles on R-universe In the past weeks we have extended the R-universe build system and front-ends with some new features for publishing articles . Articles can be used for documentation of R packages, but also for other purposes, such as reports, tutorials, papers, or research compendia.Publishing of articles in R-universe is based on the R vignette system, and we may add support for other types of articles later on. The
Dear rOpenSci friends, it’s time for our monthly news roundup!Some housekeeping first:We’ve been changing the infrastructure of our newsletter a bit so please update your RSS and JSON feeds to https://ropensci.org/tags/newsletter/index.xml and https://ropensci.org/tags/newsletter/index.json, respectively.You can read this post on our blog.Now let’s dive into the activity at and around rOpenSci!
A week ago we held a Community Call discussing rOpenSci Statistical Software Testing and Peer Review.This call included speakers Noam Ross, Mark Padgham, Anna Krystalli, Alex Hayes, and John Sakaluk.
🔗The R-universe build system The R-universe system is a complex effort, consisting of numerous frontend and backend pieces that operate across various platforms. A key challenge in developing such a system is managing overall complexity by finding ways to reduce the problem into smaller, loosely coupled components, which can be thought of, and developed, somewhat independently.