Today's artwork generated with #rstats and #ggplot2:

[phylotastic] tracerer 2.2.4

'BEAST2' () is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'Tracer' () is a GUI tool to parse and analyze the files generated by 'BEAST2'. This package provides a way to parse and analyze 'BEAST2' input files without active user input, but using R function calls instead.

#rstats

tracerer (rebuild) ยท r-universe/phylotastic@7b3d934

Source universe for: phylotastic. Contribute to r-universe/phylotastic development by creating an account on GitHub.

GitHub

๐Ÿ“ข R Project Sprint 2026

๐Ÿข University of Birmingham / Remote
๐Ÿ“… Tue 1 - Thu 3 Sept

โœจ Travel funding available โœจ

Apply by Friday 8 May to join this free event to collaborate on contributions to #RStats.
https://contributor.r-project.org/r-project-sprint-2026

#RSprint2026

WordleR, the #Rstats-powered #Wordle Helper, was "impressive" today!
Wordle 1,746 3/6
โฌ›โฌ›๐ŸŸฉโฌ›โฌ›
โฌ›โฌ›๐ŸŸฉโฌ›๐ŸŸจ
๐ŸŸฉ๐ŸŸฉ๐ŸŸฉ๐ŸŸฉ๐ŸŸฉ
http://bit.ly/WordleR
WORDLER: The RStats-powered WORDLE Helper

The greatest thing about Zarr is how tech agnostic it is. But, it's entirely visually dominated by Python and xarray and Rust. It doesn't have to be this way. #RStats The move by the MATLAB engineering crowd to python has given us a great gift: R, let's work to wrest it away from the dumber langs. It's a great idea

The latest issue of @rweekly is now live!

https://rweekly.org/2026-W14.html

Highlights:
- ๐Ÿ“Š Introducing ggauto: automating better charts by @nrennie
- ๐Ÿค– Adding Alt Text in Quarto with Claude Code by @stephenturner.us
- โ˜• Using science to find the best decaf by @gdeejay.bsky.social

As always, thanks for your contributions - keep them coming! Add your R blog to our RSS feed list, or submit a PR on GitHub linking to a post

#rstats 

R Weekly 2026-W14 ggauto, alt text, scientific coffee

Weekly news in the R Community

RWeekly.org - Blogs to Learn R from the Community

"The Untold Story of R" - Youtube Video by CodeSource

Interesting to have to show to folks who wonder what all this "R" stuff is about.

Caveat: this is obviously an AI production, with weird package name pronounciation, and it swings into a lot of "Spicy" topics

#rstats

https://www.youtube.com/watch?si=29bE-YvuKeQj8WJE&v=FjSPm1PB6Y0&feature=youtu.be

How R Quietly Refused to Die

YouTube

A nod of appreciation to the `pak` library for R.

I don't use #RStats much anymore (because #Julia), but just wanted to test something that required installing devtools--and of course my current system was missing some of the system libraries that devtools depends on. `install.packages` makes it difficult to figure out what's missing, but `pak` provides much better documentation, including of missing dependencies.

https://pak.r-lib.org/

Another Approach to Package Installation

The goal of pak is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. pak has a dependency solver, so it finds version conflicts before performing the installation. This version of pak supports CRAN, Bioconductor and GitHub packages as well.

Where the spatial curve runs ABOVE the random, nearby sites share more species than expected by chance. Where it flattens first, the landscape is more homogeneous than the random baseline predicts. The gap between the two curves is the signal. Not the counts. #ecology #rstats 3/3