rOpenSci’s second cohort of Champions has been onboarded!Their training first started with a session on code style, was followed by three sessions on the basics of R package development, and ended with a session on advanced R package development, which consisted of a potpourri of tips with discussion, followed by time for applying these principles to the participants’ packages.Here, I want to share one of the topics covered: Package testing, and

The package qualtRics maintained by Julia Silge together with Joseph O’Brien provides functions to access survey results directly into R using the Qualtrics API. Qualtrics is an online survey and data collection software platform. Help test or improve qualtRics! Are you a heavy user of the Qualtrics survey tooling in general, and of the qualtRics R package in particular? Then you can help build and test the package. How to help?

The package targets maintained by Will Landau, and its companion packages, are pipeline tools, that coordinate the pieces of computationally demanding analysis projects. Help sustain targets discussion forums!

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!

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.

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

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.

Abstract / TLDR R-universe now builds WASM binaries of all R packages for use in WebR applications (such as shinylive). For example to test the dev version of dplyr, you can open the WebR demo page and run: install.packages('dplyr', repos = c('https://tidyverse.r-universe.dev', 'https://repo.r-wasm.org')) As explained below, not all R packages are supported yet;