🔗Introduction Panel data contains measurements from multiple subjects measured over multiple time points.Such data can be encountered in many social science applications such as when analysing register data or cohort studies (for example).Often the aim is to perform causal inference based on such observational data (instead of randomized control trials). A new rOpensci-reviewed R package dynamite available on CRAN implements a new class of

ul a:hover{text-decoration: underline;} 🔗Pretty permanent URLs! We have improved the URL schema for the r-universe.dev front-end to make it even easier to find and share a link to an R package, article, API, or other resource. The old URLs will now automatically be redirected to the new locations, so this should be a non-breaking change. But of course we recommend updating your references to link to the new permanent URLs.

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 🔗{targets} in Action Community Call Tuesday, 31 January 2023 20:00 UTC / Tuesday, 31 January 2023 15:00 EST / Wednesday, 1st February 07:00 AEDT.

🔗curl 5.0.0 is on CRAN A new major version of the curl package has been released to CRAN. This release both brings internal improvements as well as new user-facing functionality, in particular with respect to concurrent downloads. From the NEWS file:curl 5.0.0 - New function multi_download() which supports concurrent downloads and resuming download for large files, while giving detailed progress information.

We are excited to announce that, with the support of the Chan Zuckerberg Initiative, NumFOCUS, and the R Consortium, we have begun the process of translating rOpenSci’s materials on best practices for software development, code review, and contribution to open source projects into Spanish.As part of this effort, we are also developing guidelines and tools for translating open source resources to reach a wider audience.

The rOpenSci community is supported by our Code of Conduct with a clear description of unacceptable behaviors,instructions on how to make a report, and information on how reports are handled. We, the Code of Conduct Committee,are responsible for receiving, investigating, deciding, enforcing and reporting on all reports of potentialviolations of our Code.

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.