Anatolii Tsyplenkov

🌍 We’re hiring 2 PhD students in #Soil Science & #Erosion Research! 🌱

Join the DFG Emmy Noether project “Trajectories of erosion-induced soil change on tropical arable land (TASC)” at the University of Augsburg 🇩🇪🇧🇷

👉 Job offer: tinyurl.com/yuut64m5

👉 Project info: tinyurl.com/repjumje

harry potter is sitting at a table reading a newspaper and drinking from a cup . ALT: harry potter is sitting at a table reading a newspaper and drinking from a cup .

Reminded me of a Hogwarts logo

GitHub - yutannihilation/savvy: A simple R extension interface using Rust A simple R extension interface using Rust. Contribute to yutannihilation/savvy development by creating an account on GitHub.

100 stars🎉 Savvy is a niche framework for those who want to use Rust in an R package yet extendr is not their fit, so I didn't expect to see so much stars!

github.com/yutannihilat...

Photo of a moving company truck with following slogan "Let's Get Moving with AI furniture"

Bloody AI is everywhere

Great words

Happy to announce ✨quarto-revealjs-editable✨

This fully supersedes the imagemover extension, as I back then didn't realize the potential. You can now also move, resize, change font size and alignment for text in your slides

github.com/EmilHvitfeld...
#quarto #slidecrafting

Example of a machine learning pipeline in Python using dagster to skip the recomputation of assets if last modification dates are not updated from since previous computations. Also an example in R usi... Example of a machine learning pipeline in Python using dagster to skip the recomputation of assets if last modification dates are not updated from since previous computations. Also an example in R ...

Scripts to avoid recomputation compared: dagster in #python vs {targets} in #rstats. gist.github.com/jrosell/e283...

R Dev Day @ Australia 2025 Fri, Nov. 21st, 2025

📢 R Dev Day @ Australia

🏢 Monash University, Melbourne
🌐 Remote, Australia
📅 Fri 21 Nov

It's happening!

Apply to attend this free event, to collaborate on contributions to #RStats! You don't need to be an R guru!

Deadline Sunday 16 Nov: pretix.eu/r-contributo...

#RDevDay #RSEng

Has anybody come up with a solution to this problem: you have a perfectly reproducible analysis pipeline that produces beautiful dynamic reports. But once you bring on even one collaborator things immediately devolve into email-attached word documents named manuscript_finalFinal_2.docx #rstats

4 for sure!

Oh, that’s a good idea. I am just afraid, that it will be biased towards R as it prevails it academia

Cumulative graph of Python- and R-tagged questions on the gis.stackexchange.com

expanding the idea suggested on mastodon, I analysed the number of questions posted on gis.stackexchange.com over the past decade, focusing on the most popular geospatial libraries in #rstats and #python. The cumsum of daily questions suggests a draw.

gist.github.com/atsyplenkov/...

No, of course not

I am currently writing a grant proposal and as a researcher by nature got really curious. My impression that it's R — but I am biased and work mostly within "R information bubble"

A plot showing google hits for ` Python spatial `, ` R spatial `, ` Python geospatial `, ` R geospatial ` keywords since 2015 to present

Which language serves as the geospatial lingua franca — #pythonor #rstats? A quick look at Google Trends suggests R, but that’s a rather simplistic comparison. Has anyone come across a more in-depth study on the most popular languages for spatial analysis?

You have literally listed all my favs. Especially Inter is <3

I know I'm biased, but maaaan, Formalist and Air work so well together in the latest Positron update.

Dear #rstats, you should give Positron a try.

💨 Air — posit-dev.github.io/air/
🎩 Formalist — github.com/atsyplenkov/...

FYI, this is last year announcement

Oh, that’s super cool. It can be used not only for click baits, but for other links to. Like you hover, or click on the link, and a short summary of the page is popping up

It still bugs me that nrow() in #RStats is called nrow() and not nrows(). I type it wrong every time.

Haven’t seen that in Positron. I doubt that it exists, tbh

Unfortunately there is too much of them. A good and up-to-date collection of them are here: rsources-en.netlify.app/courses

Noice! Do you have any suggestions for naming columns in a dataframe?

I tried using PascalCase for column names to differentiate them from snake_case objects, functions, and variables. However, I keep forgetting to follow my convention 🙈

Take a look on {janitor}. Its adorn_percentages() can do the trick in two lines of code

sfirke.github.io/janitor/refe...

GitHub - ocsmit/zed-r: R language support for Zed editor R language support for Zed editor. Contribute to ocsmit/zed-r development by creating an account on GitHub.

I haven’t used it yet, but saw this repo. Maybe it will help you

github.com/ocsmit/zed-r

For sure!

I was working with big data recently and found that Polars is faster than a DuckDB-based approach. Thanks to {tidypolars} you can use {tidyverse} syntax as well. However, if you are working with a medium-sized CSV like this (only 20K rows), {data.table} may still be faster but it loads csv in memory

Open csv in R using duckdb and arrow using dataset from https://josiahparry.com/posts/2024-05-24-duckdb-and-r

Finally got to my laptop and realized I made a mistake. The arrow command is actually open_csv_dataset(). Here is the reprex. Both examples do not load the entire CSV into R, but if your CSV is enormous, it may be beneficial to create an on-disk DuckDB.