I upgraded to #Rstudio 2026.05.0+218 "Golden Wattle" a week or so ago. Causality is hard when N=1, but man, it suddenly feels So. Slow. Source() on a file taking up a couple hundred lines and doing fairly straightforward things (e.g., not calling other massive files, not iterating anything thousands of times) used to take a couple of seconds. Now it's 10-20 seconds. It just feels so very very slow.
Are there some hashtags around the R language?
I wrote a script for some homework, and took a look at the runtimes.
I noticed that I get substantial performance increases when I use global (or similar "the scope above me has the values") behaviour, meaning just using them directly, instead of passing the variables like a sensible person as arguments.
Therefore I'm wondering how R performs the lookup of the global variables/passes the arguments, and why that is expensive
#Help
J'ai installé #Rstudio sur mon linux fedora en suivant les consignes données ici :
https://developer.fedoraproject.org/tech/languages/r/r-ide.html
ça a marché, grosse fierté.
MAIS Je n'arrive pas à créer un notebook. ça me dit qu'il faut télécharger des trucs, je dis OK (comme d'hab, me confiez rien d'important sur un ordi), et ça écrit des trucs rouges et quelques trucs noirs pendant 5' et à la fin j'ai ce message d'erreur
et après si je refais créer un notebook, ça refait la même chose, avec le même message d'erreur
#TIL that #RStudio supports multiple levels of code sections. The level depends on the number of # signs at the beginning of the line.
# First Level -----
## Second level ------
This is also reflected in the document outline you get with Cmd+Shift+O (on a Mac, I guess it's Ctrl+Shift+O anywhere else).
Why did no-one tell me that earlier?!?