lapply(.libPaths, list.files)

I completely forgot I had this setup in my R Profile.
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All the code is in the image Alt! #rstats #databs

Digital curation is a big part of my role and the start of the school year means new LibPaths for subject units and updating the general resource and how-to pages, including the multimedia, podcasting and artificial intelligence LibPaths.
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Doing some testing with codex in #rstats. It seems quite a bit behind Claude Code...

Does anyone know if there is a clean way to give codex access to `.libPaths()` (ie, C:/Users/chris/AppData/Local/R/win-library/4.5 AND C:/Program Files/R/R-4.5.2/library) without giving it full powershell access?

pleased with this split() usage. suppose you have a vector of files in different folders. for example, my R packages

x <- fs::dir_ls(.libPaths())

then you can split by parent folder for quick inspection

split(basename(x), dirname(x))

Or, easier still, you can manually copy the package folders installed for your previous version of R and drop them in the new version of R’s installation folder, which you can find out with the R command:

.libPaths()

or something like that.

We did this with Azure Blobfuse. This requires that you also have an .Rprofile to update your `.libPaths()` as well.

Just pure pain.

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.libPaths() gives:
"/home/simon/R/x86_64-pc-linux-gnu-library/4.5"
"/usr/local/lib/R/site-library"
"/usr/lib/R/site-library"
"/usr/lib/R/library"

But I'm not sure how to check where devtools::test() is looking for binaries. I tried installing mirai from github, but test() still couldn't find it

using codex tokens trying to get its .libPaths() to work

now we're like halfway to really hacky directory tree

x <- fs::dir_ls(.libPaths()) |>
fs::path_filter(regex = "/[A-Z]+$")
p <- split(basename(x), dirname(x))
for (dir_i in seq_along(p)) {
f <- setNames(p[[dir_i]], rep(" ", length(p[[dir_i]])))
cli::cli_inform(c("{names(p)[dir_i]}", f))
}

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Making a 'mylib' path.
1) Open terminal
2) Went to /home/michaeltbee/R
2) Did a mkdir 'mylib' - then...
3) Executed in console...

.libPaths(c("/home/michaeltbee/R/mylib"),.libPaths())

...now when I install.packages it should go there. :)

If you don’t remember where the previous version of R installed its packages, there’s a way to switch from R Studio to that version; then you can type .libPaths() in the R Console and press Enter.

Looking into #r2u and #bspm in #rstats. The FAQ says it won't work with renv::install() and I get why. But is it possible to install multiple versions of a package? Say I want two different versions of {targets}, can I install into specific libraries? Maybe if I set .libPaths()? @eddelbuettel.com

I would check if for some reason the .libPaths() is different.