I hate using the Posit Package Manager to install #Rstats package, because whenever I do, I get errors about missing cpp libraries.

I just have to install from source and it works fine.

But hard to automate in pipeline or systems in production.

How are you working around this issue?

Using #Quarto with #Typst for the first time today. I've been a huge proponent of RMarkdown+pagedown over the past few years so that's a big change.

Wish me luck.

I was at the RPLL yesterday (professional conferences of free software).

Learned much about the various business models of free software.

Especially, I learned that an AGPL-3 licence does not force you to publicly diffuse the code. It only needs to be available to users/customers.

I'm discovering some obscure stuff.

Why does the same computation take 6x more computation time in an #RShiny app compared to an #Rstats script?

If I remove the `observe()` wrap it takes only 3 seconds. So it definitely comes from being observed.

How is your day going so far?

omg I completed Day 1 of #AoC for the first time ever.

And we're only day 2!

Not sure how I feel about this solution to the 2nd puzzle