#rstats tidypolars 0.14.0 is now available! tidypolars provides the tidyverse syntax while using polars for efficient computations in the background. This release brings compatibility with polars 1.0.0, released earlier this week, and several features and bug fixes. (1/2)

#rstats polars 1.0.0 is now available! polars provides bindings to the eponymous Rust library, a very efficient dataframe library. This is the outcome of a 1-year long rewrite led by @eitsupi to refactor the internals and match the API of Python polars. pola-rs.github.io/r-polars/ Details ⬇️

#rstats {flir} 0.5.0 is now available! {flir} can detect and rewrite code patterns. This is the 1st CRAN release and has two nice features: - share custom rules across projects - show changes in Shiny app before applying them flir.etiennebacher.com/news/#flir-050 More details in the 🧵 (1/3)

Just gave a presentation a the REGIS summer school we organised in Bordeaux. Algorithms for empirical research Slides and material here: github.com/lrberge/2025... The conclusion is that, even in the age of AI, using your brain is still relevant! #RStats #EconSky

#rstats A few weeks ago I gave three R classes at Universitat Innsbruck: 1. Webscraping part 1: static webscraping 2. Webscraping part 2: dynamic webscraping 3. Handling large data with Python and R Details and links to the slides in the 🧵 (1/5)

#rstats New post: Refactoring code with `flir` `flir` is a pkg I created last year, similar to `lintr` but faster and with automatic fixes. In this post, I explain how to extend it, for instance to replace superseded and deprecated functions in large projects www.etiennebacher.com/posts/2025-0...

Polars has gotten 4x faster than Polars! 🚀 In the last months, the team has worked incredibly hard on the new-streaming engine and the results pay off. It is incredibly fast, and beats the Polars in-memory engine by a factor of 4 on a 96vCPU machine.

📚😅🎉 Yay!! I just submitted the complete manuscript of my upcoming book to the publisher! Learn to easily and clearly interpret (almost) any stats model w/ R or Python. Simple ideas, consistent workflow, powerful tools, detailed case studies. Read it for free @ marginaleffects.com #RStats #PyData

#rstats tidypolars 0.13.0 is available via R-universe! It brings some features and bug fixes, notably: - more support for functions from base R, lubridate, stringr - better errors/warnings when some args in a function are not supported Changelog: www.tidypolars.etiennebacher.com/news/#tidypo...

#rstats {flir} 0.3.0 is now available via R-universe! This version marks the renaming of the package. {flir} was named {flint} but a new package on CRAN now has this name, which could create confusion and namespace conflicts. {flir} stands for "Fix Lints In R": flir.etiennebacher.com/news/

@lionelhenry.bsky.social and I are so excited to finally announce Air - an extremely fast R code formatter! 🎉 With Air, you'll never need to worry about styling your #rstats code ever again. All you need to do is save, and Air takes care of the rest. www.tidyverse.org/blog/2025/02...

Still open! #rstats #rshiny #biology #internship

#rstats {flint} 0.2.0 is now available via R-universe! {flint} is a pkg to quickly find lints and fix them automatically. In 0.2.0: * fix when several replacements targeted the same piece of code * adds a couple of new linters * removes some edge cases All changes: flint.etiennebacher.com/news/

🎉 New in Formalist for Positron IDE: Fix lints in #rstats code on demand! Select your code, hit a button, and let {flint} by @etiennebacher.bsky.social handle the rest. 🚀 Works on selected text only 🔧 Customizable with flint::setup_flint() 🌐 github.com/atsyplenkov/...

#rstats #rshiny #biology #internship Internship offer for Master students: - make an R Shiny app to viz data from a large lit. review in marine biology - 6 mo., Brest, France, start March 2025 - R Shiny, SQL, Python No requirements in biology. CV and cover letter to send to contact in the file.

Just arrived here to follow the growing #rstats community! As a first post, I thought I'd just reuse my latest one on Mastodon: {flint} is a package to detect and automatically fix lints in R code. It is also very fast and compatible with many {lintr} rules. More info: flint.etiennebacher.com