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@datascience@genomic.social
2025-05-15 10:00:01

{purrr} has some lesser known functions that make handling of failing function calls easier: safely, quietly, possibly: #rstats…

Wrap a function to capture errors — safely
Creates a modified version of .f that always succeeds. It returns a list with components result and error. If the function succeeds, result contains the returned value and error is NULL. If an error occurred, error is an error object and result is either NULL or otherwise.

@datascience@genomic.social
2025-06-11 10:00:01

Im using case_when() quite a lot, case_match() is new to me: #rstats

A general vectorised switch() — case_match
This function allows you to vectorise multiple switch() statements. Each case is evaluated sequentially and the first match for each element determines the corresponding value in the output vector. If no cases match, the .default is used. case_match() is an R equivalent of the SQL "simple" CASE WHEN statement. Connection to case_when() While case_when() uses logical expressions on the left-hand side of the formula, case_match() uses values to match against .x with. The following two statement…

@servelan@newsie.social
2025-06-07 15:27:19

Ultrasound toothbrush promises painless checks for hidden gum problems
phys.org/news/2025-06-ultrasou

@toothFAIRy@scholar.social
2025-06-12 14:54:27

My favourite way to trick myself into thinking that I'm doing work is to ask questions related to my task in Slack channels.
In my defense - there is currently very limited brain space because a certain funder decided to drop a figurative bomb on our institute and everything revolves around this now...

@datascience@genomic.social
2025-07-12 10:00:00

Polars is a lightning fast DataFrame library/in-memory query engine with parallel execution and cache efficiency. And now you can use is with the tidyverse syntax: #rstats

Get the Power of Polars with the Syntax of the Tidyverse
Polars is a cross-language tool for manipulating very large data. However, one drawback is that the R implementation has a syntax that will look odd to many R users who are not used to Python syntax. The objective of tidypolars is to improve the ease-of-use of Polars in R by providing tidyverse syntax to polars.

@seeingwithsound@mas.to
2025-07-06 08:28:43

Neuralink's Blindsight BCI targets blindness, as Musk teases "superpower situation" thedebrief.org/neuralinks-blin After Dobelle, Arg…

Neuralink’s Blindsight BCI Targets Blindness, as Musk Teases “Superpower Situation”
Science, Tech and Defense for the Rebelliously Curious.

@BBC6MusicBot@mastodonapp.uk
2025-07-15 16:05:55

🇺🇦 #NowPlaying on #BBC6Music's #HuwStephens
Prince & The Revolution:
🎵 Raspberry Beret
#Prince #TheRevolution
tudoparadjs.bandcamp.com/track
open.spotify.com/track/5jSz894

@toothFAIRy@scholar.social
2025-07-11 23:43:41

"Ultimately, engaging the public enriches our scholarship. It pushes us to think more carefully about clarity, ethics, and relevance. It also ensures that the knowledge we produce contributes to a wider societal good, affirming the role of the university not just as a place of knowledge production, but also of public service."
#OpenScience
social.edu.nl/@Bibliothecaris/

@toothFAIRy@scholar.social
2025-06-12 14:53:02

Nice! adrienne maree brown as a keynote speaker for #OpenEd25 ! I'm curious to what she'll have to say regarding #OpenScience / #OpenEducation!
mastodon.social/@sparc/1146707

@datascience@genomic.social
2025-06-12 10:00:01

{nplyr} has helper functions to work on nested dataframes: #rstats #datascience

A Grammar of Nested Data Manipulation
Provides functions for manipulating nested data frames in a list-column using dplyr syntax. Rather than unnesting, then manipulating a data frame, nplyr allows users to manipulate each nested data frame directly. nplyr is a wrapper for dplyr functions that provide tools for common data manipulation steps: filtering rows, selecting columns, summarising grouped data, among others.