I've turned my intro to R workshop into a free open-access book: The R Workshop 🌟 Perfect for R beginners, with more chapters coming soon! Check it out: www.r-workshop.org Prefer live instruction? Join my 2-day virtual workshop Jan 15-16 via Instats. Details: instats.org/seminar/intr... #rstats

In case you missed my "Python for R Users" seminar last month, registration for the recorded on-demand version is now open for you to explore at your own pace 🚀 Info and registration: instats.org/seminar/pyth...

Python for R Users - On-Demand

This Instats seminar on Python for R Users taught by Rebecca Barter will help you take your research to the next level. Sign up today!

instats.org

I don't know who needs to hear this, but if you want to look at all columns of a tibble (which has the somewhat annoying habit of only showing you as many columns as you have space for), just pipe it into print(width = Inf): df |> print(width = Inf) #rstats

Only one week to go until my full-day "Python for R Users" workshop! This workshop is designed for R users interested in learning Python and expanding their coding toolkit. Join me to learn Python from an R-friendly perspective! Click here to register: instats.org/seminar/pyth...

Python for R Users - Live-streaming:

This Instats seminar on Python for R Users taught by Rebecca Barter will help you take your research to the next level. Sign up today!

instats.org

If you're teaching R, or statistics, and you want your students to get more practice of data wrangling with "messy" data, you can use the {messy} package to turn the clean data you currently use for examples into more realistic looking data! #RStats #StatsEd

Crystal Lewis@cghlewis.bsky.social · 2y ago

Came across this fun #rstats package from @nrennie.bsky.social that turns clean datasets into messy ones. github.com/nrennie/messy

Making things "pretty" has never been where I find the most joy in data work. So, I'm super excited about @posit.co 's {brand.yml} framework for adding unified styling across Quarto, Shiny, and more at minimal effort 🤩 posit-dev.github.io/brand-yml/ Site also featuring best at-a-glance roadmap

A few things I've been working on lately: elmer, elmer.tidyverse.org, is a new package to make it easier to work with LLMs (hosted and local) from #rstats. It includes helps for structured data extraction and tool calling, and an easy way to upload a plot. Joint work with Joe Cheng.

Some news: I've just open-sourced the draft of a book I'm working on about how #rstats tidymodels users can make their code run faster without sacrificing predictive performance! www.simonpcouch.com/blog/2024-10...

y'all probably know i ❤️labelled data. the dev version of {ggplot2} has a new feature that automatically applies variable labels when plotting 😍✨ thank you @teunbrand.bsky.social!!! 🙏 #rstats

Check out the new `pastum` extension for Positron (and VS Code I guess)—it's {datapasta} for Positron! It works with both R (base R, tibble, and data.frame) and Python (pandas and polars) github.com/atsyplenkov/... #rstats #python

Hello world 👋 (This is how you're supposed to start with any new programming language/social media platform, right?)