This report presents our annual review of the rOpenSci Code of Conduct, reporting process, and internal guidelines for handling reports and enforcement. 🔗Updates Changes to the text, including addition of greater detail about acceptable and unacceptable behaviors in online settings.Added a new language, through doing the first translation of the text to Spanish.Changes to the committee.
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 🔗One-page HTML package manuals on R-universe! We have recently started building HTML reference manuals for each package in the R-universe! For packages that have had an update in the past 3 weeks, the reference manual is now linked from the package homepage on R-universe.dev.
I really enjoy using targets for all of my data analysis projects, especially because it helps me structure all of the projects nicely in the same folder.For targets projects, I often produce several figures using ggplot2.However, there are no formal recommendations for saving ggplot2 objects (as opposed to static images) in a targets workflow.
rOpenSci is very excited to announce our first peer-reviewed statistical Rpackages! One of rOpenSci’s core programs is software peer-review, where we use bestpractices from software engineering and academic peer-review to improvescientific software. Through this, we aim to make scientific software morerobust, usable, and trustworthy, and build a supportive community of practitioners.
🔗Two new packages! We released two new packages that we are using in r-universe to render package documentation: postdoc and prismjs. The goal of postdoc is very simple: generate beautiful single-page package manuals in HTML format. Postdoc uses our prismjs and katex packages for server-side highlighting and math.
This is the first post of our interview series “Meeting the stars of the R-universe” . We aim to introduce the working groups and people behind the development of software and packages many of us use and which are available through the R-Universe . We want to highlight and explore different teams and projects around the world, the work they do, their processes and users.
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 🔗Multilingual Publishing Open Source and Open Science are global movements, but most of their material and resources are published in English, meaning non-English speakers face a significant barrier to being part of these movements.
Twitter is one of the preferred social media platforms and networks for the R community and for the data, open science and research communities. Since the beginning of rOpenSci we have used Twitter to connect with our community and other parallel communities, to share what we do, and to be part of conversations around the topics important to our mission.
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 is seeking mentors to support our inaugural cohort of rOpenSci Champions! The rOpenSci Champions Program is for people from historically and systematically excluded groups who are interested in contributing to rOpenSci and the broader ecosystem of open source and open science communities.
🔗Summary This post is about the surprising uses I’ve noticed and the questionsabout the censo2017 R package, a tool foraccessing the Chilean census 2017 data, I’ve gotten since it was peer-reviewedthrough rOpenSci one year ago. The originalpost about thepackage one year ago didn’t cover the different examples I present here,including a Python port of the R package.