Seth,

the recipe of John (kudos to him for posting it) was possible because I actually took care of incorporating the workaround from my previous recipe into the system for 13.0.1. But since this apparently did not work for you and I could not re-test things properly at that moment, I just admitted about the generally less than stellar situation with external R connectivity, particularly the documentation is behind. Perhaps I should've suggested you to try this simplified procedure.

I agree with you that we should try make things more automated. We've run some experiments to automate the JRI library building step at run-time, hopefully the setup will be simplified in the future.

Regarding package installation, we may add a dedicated RPackageInstall (or similarly named) function in 13.2. There are technical reasons why package installation from within RLink with REvaluate fails. Basically, R interactively prompts to pick a mirror, but RLink has not been built with the ability to process such inverse interactive prompts / requests from R.

In the mean time, one could use something like this:

Options[installRPackage] = { "MirrorURL" -> "http://cran.us.r-project.org" }
installRPackage[name_String, OptionsPattern[]] := REvaluate[
    "install.packages('"<> name <>"', repos='" <> OptionValue["MirrorURL"] <> "')"
]

which normally should work.

Seth,

I got it working on my new Mac Studio as follows:
1) Uninstall the R consul, if you have one, by dragging it from your Applications folder to Trash.
2) Download the latest R-4.2.0-arm64.pkg from the cran.r-project.org.
3) Double click on the arm64.pkg and install it normally in your Applications folder.
4) Start the R consul from your Applications folder and execute install.packages("rJava")
5) Open a new Mathematica notebook and execute the following code:

Needs["RLink`"];
JLink`UninstallJava[];
InstallR["RHomeLocation"->"/Library/Frameworks/R.framework/Versions/4.2-arm64/Resources","RVersion"->"4.2.0"]

6) To check that all is working correctly execute from Mathematica:REvaluate["R.version.string"]

Step 6 should return {R version 4.2.0 (2022-04-22)} and you're good to go.

I appreciate the instructions. From what I can see, however, the problem was not fixed for Version 13. I still get the error message on my Silicon Mac when I try to run R. Given the large number of people now running Silicon Macs and the virtues of having simple R connectivity, I would hope that the fix can be automated very soon in a way consistent with the usability aspirations of Wolfram Language. Your instructions, while I am sure the very best that are possible, are sufficiently complex that they pretty much defeat the point of RLink altogether.