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Reposted by Charly Marie, PhD

cosmoflash @cosmoflash.bsky.social · 1d

Lecornu II : Matignon Drift
Lecornu 3
Lecornu 4Ever
Lecornu V Infinite
Lecornu Origins
The Lecornu Tales
Legend of Lecornu

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Charly Marie, PhD @charlymarie.bsky.social · 1d

Glad I could help!

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Charly Marie, PhD @charlymarie.bsky.social · 2d

You’re right, sorry. I meant to say that it changes them! One shouldn't type when half awake

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Charly Marie, PhD @charlymarie.bsky.social · 2d

How can your confidence intervals be exactly equivalent? It is known that multiple imputation inflates them.

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Charly Marie, PhD @charlymarie.bsky.social · 8d

That's great! Will you be sharing your workshop online like your courses?

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Charly Marie, PhD @charlymarie.bsky.social · 15d

C’est une question de censure, il y a une grosse littérature sur ce sujet, cf. hbiostat.org/rmsc/surv

(Je ne sais pas répondre à la question, juste pointer vers une direction pour y répondre 🙃)

17 Introduction to Survival Analysis – Regression Modeling Strategies

hbiostat.org

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Charly Marie, PhD @charlymarie.bsky.social · 15d

Why do you say that rm(list = ls()) is not a safe trick? To me, it does what it's supposed to do: delete all objects. Remaining package conflicts are not a problem as this is not what rm(list=ls()) is intended to do, right?

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Charly Marie, PhD @charlymarie.bsky.social · 19d

Merci pour la veille.

Vraie question, y a-t-il un fondement juridique au double standard entre les drapeaux déjà affichées (ukrainien, États-Unis post 11 septembre, etc…) et le drapeau palestinien ?

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Charly Marie, PhD @charlymarie.bsky.social · 19d

Poisson goes brrr.

But good old OLS is still my favourite.

Magnus Johansson @pgmj.bsky.social · 19d

For instance, yesterday I read a paper with a table describing participants' sickness absence days with a mean of 71 and SD = 88. Generating a random (gaussian) sample using these values produces ~20% participants with less than zero sick days.

A histogram with 10000 values using the mean+sd in the text, showing zero with a red line.

Charly Marie, PhD @charlymarie.bsky.social · 23d

Interesting — thanks! Could we create 100 silicon samples to mimic the sampling procedure and the associated noise? Would you then see a link with Rubin’s rules for multiple imputation?

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Reposted by Charly Marie, PhD

Jamie Cummins @jamiecummins.bsky.social · 23d

This is when I realized: we’ve been here before! The garden of forking paths in well-trodden by us psychologists. And we already know that analytic flexibility can allow us to present basically any finding we want as significant.

So I wondered: how much flexibility can we get with silicon samples?

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Charly Marie, PhD @charlymarie.bsky.social · 23d

LLMs are incredibly powerful tools.

The only limitation is that, in order to unlock their full potential, it is necessary to verify the answer.

In other words, you have to be able to do what the LLM is doing.

Kelly Bodwin @kellybodwin.com · 23d

The thing that struck me most is that even if you take away the code-writing necessity, knowing what to ask the bot for requires so much expertise.

Steps like "These points are overplotted, can we fix that" or "Let's look at only the top 50 restaurants" are incredible non-obvious to beginners...

Ted Laderas @tladeras.bsky.social · 23d

Hadley is demonstrating ggbot2 - an llm to help to transform a plot. As an analyst who has done endless iterations on a plot (can you make this gteen?), this is like a dream. #PositCONF2025

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Reposted by Charly Marie, PhD

Julien Gossa @juliengossa.cpesr.fr · 28d

This would be the right time to push for the creation of an ‘old-school code school,’ proudly advertising that it doesn’t use AI — betting on the idea that programmers who actually know how to program will soon be rare and worth their weight in gold.

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Reposted by Charly Marie, PhD

Vincent Arel-Bundock @vincentab.bsky.social · 28d

The new {marginaleffects} release for #RStats (0.30.0) comes with two new vignettes:

1. Speed up computation with automatic differentiation (often 10x gains) marginaleffects.com/bonus/perfor...

2. Power analyses with {marginaleffects} and {DeclareDesign}. marginaleffects.com/bonus/power....

37 Performance – Model to Meaning

marginaleffects.com

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Charly Marie, PhD @charlymarie.bsky.social · 29d

Great plot !

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Reposted by Charly Marie, PhD

Thomas Lin Pedersen @thomasp85.com · Sep 11

I am beyond excited to announce that ggplot2 4.0.0 has just landed on CRAN.

It's not every day we have a new major #ggplot2 release but it is a fitting 18 year birthday present for the package.

Get an overview of the release in this blog post and be on the lookout for more in-depth posts #rstats

ggplot2 4.0.0

A new major version of ggplot2 has been released on CRAN. Find out what is new here.

www.tidyverse.org

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Charly Marie, PhD @charlymarie.bsky.social · Sep 11

Social psych? 🫣

Charly Marie, PhD @charlymarie.bsky.social · Sep 11

J’ai eu le plaisir d’intervenir à l'@unedic.bsky.social autour de la stigmatisation des "chômeurs" et des manières de composer (ou non) avec l’assignation sociale du chômage. Merci !

Un entretien prolonge la discussion : shorturl.at/5AFS4

(Avec notamment des bouts de @michaelzemmour.cpesr.fr)

Charly Marie : « Le chômage est une expérience de vie majoritaire et normale en France »

Charly Marie, docteur en psychologie, a travaillé sur les ressorts psychologiques des perceptions des personnes au chômage. Ses travaux éclairent la manière dont se construisent les stéréotypes au cœur de la stigmatisation des personnes privées d’emploi et ses effets sur les chômeurs et chômeuses.

www.unedic.org

Charly Marie, PhD @charlymarie.bsky.social · Sep 10

I'm In This Photo and I Don't Like It

Ryo Saeba - Japon XYZ @ryosaeba3.bsky.social · Sep 10

La TV japonaise qui nous apprend que les autruches aiment bien les chauves car la forme leur rappelle leurs œufs et elles les protègent instinctivement 😄

Charly Marie, PhD @charlymarie.bsky.social · Sep 9

Here's a version that's a bit more Bluesky-and-Mobiles compatible.

Charly Marie, PhD @charlymarie.bsky.social · Sep 8

Base r ?! 😳😳🤯

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Charly Marie, PhD @charlymarie.bsky.social · Sep 8

Until a couple of weeks ago, my first preprint had not been moderated for around 18 months. However, all of my preprints have been moderated over the last couple of weeks, including this old one.

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Charly Marie, PhD @charlymarie.bsky.social · Sep 8

That was a fun educational project, but I'm not sure I'd want to annotate plots again. That was cumbersome!

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Charly Marie, PhD @charlymarie.bsky.social · Sep 8

Does that make me a nerd? I suppose so. But it was definitely worth it!

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Charly Marie, PhD @charlymarie.bsky.social · Sep 8

@dingdingpeng.the100.ci and @vincentab.bsky.social wrote an amazing paper about marginal effects.

While preparing my advanced statistics and methods class, I (surprisingly) had fun reproducing their Figure 1, adapting it to their Example 1, and ploting the text and arrows directly using ggplot().

Adaptation of Figure 1 from Rohrer & Arel-Bundock (2025), to their Example 1.

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