Michael Sachs

[Rasmus Bååth (@[email protected]) @rabaath]

Around Copenhagen and curious about data analysis and/or #RStats? Come to the CopenhagenR meetup!

On the 5th of November we host a presentation on 🚀Blazingly fast data manipulation using r-polars and rust from R🚀 Everyone is welcome! 😊

https://t.co/VHIIuANskg

[Peng Ding @pengding00]

excited to see the physical copy of the book; nervous about the potential errors. Comments are welcome.

[Peng Ding @pengding00]

Just gave a guest lecture on Bayesian Causal Inference at Williams College, with slides and R code at https://t.co/14nXGnNVbL which is an introduction to our review paper https://t.co/NobzD1YtBB @fabri_mealli @FanLiDuke (I never taught any Bayesian Statistics at Berkeley.)

[Vince Buffalo @vsbuffalo]

The New Zealand Herald has an interesting interview with statistical geneticist Bruce Weir after the death of O.J. Simpson. Weir famously made a mistake in his calculations, which defense used to argue that there was bias against Simpson in his methods.🧵
https://t.co/VjYEJce62n

[Rasmus Bååth (@[email protected]) @rabaath]

Around Copenhagen and curious about #RStats ? You're very welcome to our next CopenhagenR meetup on the 20th March! 😊

https://t.co/NSGrRWV8Bh

[Giovanni Cinà @CinaGiovanni]

Have you developed a prediction model to aid clinicians in a treatment decision? Then you may want to read our latest preprint titled

*When accurate prediction models yield harmful self-fulfilling prophecies*

See: https://t.co/nIzVNJ7gTx
A 🧵

[Chelsea Parlett @ChelseaParlett]

if you're writing a paper about a purely predictive model, your paper about it should have to say how those predictions could be useful in real life.

[Videnskab.dk @videnskabdk]

Derfor skal du spise mere tang: Og sådan høster du selv tang ved de danske strande. #dksund #sundhed #dkvid https://t.co/POJ2GCYVk1

[Davis Vaughan @dvaughan32]

In the tidyverse, we work with a lot of people - each other and #rstats community members.

We wanted to document how we handle code review, so we've drafted a guide detailing our review principles!

We hope you find it useful, and welcome your feedback!

https://t.co/jGm0rSGg5M

[Emily Riederer @EmilyRiederer]

Shiny modules make apps easier to develop, understand, and debug. So why does #rstats treat them as an 'advanced' concept not for beginners?

Will discuss in my @appsilon ShinyConf 2023 talk today!

It's not too late to join in the fun - like to conf and slides below

[Ina Hallström @killedbyproxy]

Gotta love the Danes. They are not taking bullshit. This does not reflect well on @SCB_nyheter.

"Almost everything points to Denmark coping with the corona pandemic best - but the Swedes say something quite different."
https://t.co/d3GVxo0ek5

[Martyn Plummer @martyn_plummer]

My review is now published and open access.

https://t.co/kB9TsNs1TN

[James Balamuta, Ph.D. @axiomsofxyz]

Ever want to add code interactivity to your #quarto or #rmarkdown lecture notes or guides for #rstats? Check out {webr} by @gwstagg and @_lionelhenry for editable and runnable R code.

Demo: https://t.co/PAYSwl4FeG
Source in 🧵

[Chelsea Parlett @ChelseaParlett]

📢Why Domain Expertise is important📢

🤨I was looking at a Kaggle Animal Image dataset and saw a picture of a ✨SUSPICIOUSLY✨ fake-looking crab in the dataset.

🦀My student instantly knew it was from a Music Video called "Crab Rave" and confirmed it was a fake crab.

[Michael Sachs @sachsmc]

@MaartenvSmeden oof, that was a bit convoluted but hopefully points you in the right direction.

[Michael Sachs @sachsmc]

@MaartenvSmeden It does that here: https://t.co/WtUPsmOZWN

by calling make_resamples(), what does that do? It calls createResample when method is "boot", which is defined here:
https://t.co/xSzYAKqkNH