The package assertr maintained by Tony Fischetti, provides functionality to assert conditions that have to be met so that errors in data used in analysis pipelines can fail quickly.The provided functionality is similar to stopifnot() but more powerful, friendly, and easier for use in pipelines.Contributed to assertr!

Dear rOpenSci friends, it’s time for our monthly news roundup!

rOpenSci’s second cohort of champions was onboarded!Their training started with a session on code style, which we will summarize here in this post.Knowing more about code quality is relevant to all Champion projects, be it creating a new package, submitting a package to software review, or reviewing a package.This training session consisted of a talk and discussion, whereas the next package development training sessions will be more hands-on.Why

A few weeks ago, prof Matt Crump wrote a blog post in which he explores tools to handle MIDI data in R, in preparation for a cognition experiment that involves creating musical stimuli. In the article he ends up using a mix of external command line tools ffmpeg and fluidsynth and a python module.

The package waywiser maintained by Mike Mahoney provides ergonomic methods for assessing spatial models.Assessing predictive models of spatial data can be challenging,both because these models are typically built for extrapolating outside the original region represented by training data and due to potential spatially structured errors,with “hot spots” of higher than expected error clustered geographically due to spatial structure in the

The rOpenSci Champions Program starts this 2024 with a new cohort of Champions. We are pleased to introduce you to our Champions and their projects!Ezekiel Adebayo Ogundepo Hello, I’m Ezekiel, a data science professional deeply fascinated by the intersection of mathematics, statistics, and real-world challenges.

We recently introduced a new paragraph to the development version of our dev guide This complements the statistical software review requirement for Bayesian software.

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 The R-Universe now builds MacOS ARM64 binaries for use on Apple Silicon (aka M1/M2/M3) systems! Find out more in the related tech note.Coworking Read all about coworking in our recent post! Join us for social coworking &

As part of rOpenSci’s multilingual publishing project ¹ , we have been developing the babeldown R package, for translating Markdown-based content using the DeepL API.

Abstract / TLDR R-universe now provides MacOS arm64 binaries for all R packages.