A plot in the style of xkcd showing "annual presentations with a slide where something is increasing exponentially" showing an exponential increase over time.
Posts by Wolfgang Viechtbauer
@lajeunesselab.bsky.social has written the paper that meta-analysts were waiting for, and I can't recommend it more:
Converting and Constructing Effect Sizes With the Response Ratio doi.org/10.1111/ele....
Go check it out (and use it!)
Two new papers out! π
We revisited the idea that oxytocin promotes prosocial behaviour by collecting new data (n=211) and pooling it with data from another recent large-scale replication attempt (n=321).
It's no big deal. Not sure if this is just a problem with my setup, but in case others have the same issue, maybe worth looking into.
Super nice! Thanks for providing this tool. For some reason, I am not getting the colored symbols on the results page. Works fine under Firefox, but not on my main browser (Vivaldi).
Since this is an #Rstats post ... R code to create a bifurcation diagram for the logistic map here: gist.github.com/wviechtb/f49...
Exactly. Same for me under full 4k resolution, which is crazy. I assume you are also using 200% scaling. Go to Properties for RGui, Compatibility, Change high DPI settings, High DPI scaling override, Application, and then try dev.size("px") again. Should be 2x.
That's also what I initially thought, but it's not that. What do you get when you open Rgui and run dev.size("px")?
I rarely use Windows, but noticed that #Rstats plots under Windows (using windows()) looked very fuzzy even with a 4k resolution. This seems to be related to DPI scaling (the system was using 200%). If I override the DPI settings for Rgui, then things are nice and crisp. Is this common knowledge?
So many myths around loops in R as Juli said. Some specialized functions like rowMeans() are indeed faster but the *apply() family is not. A while ago, I did some benchmarking across R versions: gist.github.com/wviechtb/83e...
Oh please make this happen! This kind of REPL like functionality is so essential.
Owning a house is how I personally verified the Second Law of Thermodynamics: If you stop adding energy, money, and time into it, everything falls apart.
Cartoon picture of an artillery fun shooting a bunch of questionnaires at a person with the words "A BATTERY OF QUESTIONNAIRES" at the top.
Whenever I read 'battery of questionnaires', I think of ...
Given that John Watts studied psychology, you can't tell me that the band name Fischer-Z is not actually based on Fisher's r-to-z transformation (and that the 'fish's head' pun was invented later).
For people in #academia -- What's the oldest email in your inbox that you still plan to respond to at some indeterminate timepoint in your life? (in other words: Please make me feel better about my inbox of shame)
You arrive at #Oslo airport, stand at the baggage claim, wonder why you have wifi, and realize that #eduroam works in the entire airport.
The plotannotate package (#RStats) is now on CRAN:
cran.r-project.org/package=plot...
The package allows users to annotate base R graphics plots with freehand drawing, symbols, and text. This is useful for teaching (e.g., to visually explain certain plot elements) and creating quick sketches.
The paper about splines in R that I wish I had known about when I was learning splines in R.
bmcmedresmethodol.biomedcentral.com/articles/10....
That's using Command, right? Control should given "ctrl-f" (and so on).
Yeah, Command isn't captured by getGraphicsEvent(). But Control works as intended. Thanks!
I got confirmation over at Mastodon that this returns ctrl-F ctrl-B, and ctrl-I (as expected).
Would somebody using #Rstats under macOS be so kind and do the following:
x11()
plot(1)
getGraphicsEvent(onKeybd=function(key) return(key))
then click on the plot, and hit control-f (and the same with control-b and control-i) and tell me what it shows in the console?
Happy to finally share the preprint for our work on how affective inertia differs within-days and overnight (with Stacey Scott, Martin Sliwinski, Josh Smyth, @wviechtb.bsky.social chtb.bsky.social⬠and @aneubauer.bsky.social) 1/4
You might be underestimating how nerdy the crowd is. A considerable part of the people in that group grew up with C64s and fondly remember cracker intros and the demo scene.
Depends on what the code is doing. Some things can benefit greatly from parallel processing, others not at all. But in the former case, users can usually do the parallelization themselves (esp. for problems that are embarrassingly paralizable), so then rewriting code in C might be more useful.
Interested in research synthesis, meta-analysis, systematic reviews, methodology, software, guidelines, best practices? π π
This #YouTube channel is really the best spot to learn and meet our community! π
A "Mr. McMahon reaction meme" where McMahon shows increasing levels of amazement/excitement, with levels "I^2", "tau^2", and "prediction interval", and "predictive distribution".
Planning to do a systematic review?
Do watch this very informative presentation first!
Julian Higgins talks about improper use of:
PRISMA reporting guideline
I-squared statistics
Test for asymmetry in funnel plots
Random effects model
#ESMARConf2025
m.youtube.com/watch?v=wRA0...
I love auto translations. "The Tasmanian-led approach to random-effects meta-analysis". π Didn't know that there was a Tasmanian school for meta-analysis! Learning something new every day. #ESMARConf2025