![]() So RStudio Server provides a nice way for me to access those data from a browser anywhere. (I end up only running R on my laptop when I don’t have internet access i.e., almost never.) Another wrinkle for me is that I keep almost all my data in a PostgreSQL database. I run RStudio Server on my desktops, which would be even more painful to lug around. In steps 5 & 6 above, you suggest making the plist file in /System/Library/LaunchDaemons, but then the terminal commands are pointed at /Library/LaunchDaemons, is that correct? I usually start the server by hand so I’m not familiar with the daemon approach. This is so much more superior than some of my other non-laptop lugging solutions which have involved: 1) Running R via the command line on the remote machine via Terminal, 2) using VNC to the remote machine to run RStudio desktop, 3) running RStudio desktop locally but with the remote drives mapped locally, and 4) lugging around a flash/hard drive with a local version of my data and code. Putting RStudio Server on my laptop allows me to get LOTS of work done on my laptop without lugging it around. #R STUDIO FOR MACOS INSTALL#Also thanks to Matt Furia! (I used his original post to do an install on my previous machine but was never able to find an email address or comment block to thank him.) Thank you SO much for posting these updated and simplified instructions. #R STUDIO FOR MACOS MAC#Open up a browser on the machine you installed it on and head to I just used your instructions to install RStudio Server on my new corporate Mac with Mountain Lion. Sudo launchctl load /Library/LaunchDaemons/.plist Sudo defaults write /Library/LaunchDaemons/.plist Disabled -bool false Start the server and (a recent change) ensure that it starts up when you launch the computer. usr/local/lib/rstudio-server/bin/rserverĦ. To configure the RStudio daemon, create the file /Library/LaunchDaemons/.plist with the following contents: Install dependencies provided by RStudioĬmake -DRSTUDIO_TARGET=Server -DCMAKE_BUILD_TYPE=Release. ![]() Note that qt4-mac no longer seems necessary.Ĥ. ![]() (Thanks to Peter Hagedorn for pointing out the need for apache-ant. The following assumes you have this (and its dependencies) installed.Ģ. #R STUDIO FOR MACOS MAC OS X#Build runs but Install gives the same error.In an earlier post, I have a link to an approach to installing RStudio Server on Mac OS X suggested by Matt Furia.Ī more streamlined approach (though essentially that suggested by Matt) builds on MacPorts or Homebrew. I uninstalled both R and RStudio and then installed R from CRAN. "Clean and Build" no longer appears in the Build Tab. Google has not been helpful as most of the URLs returned were created before the arm64 versions were released.Īnything I need to set via Preferences and Options are not clear to me. InstalledDir: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/binĭr. # this produces a lot of text which I skippedĪpple clang version 13.1.6 (clang-1316.0.21.2.5) I think RStudio & Rcpp uses clang (?) % clang -version ![]() Mozilla/5.0 (Macintosh Intel Mac OS X 12_5_0) AppleWebKit/537.36 (KHTML, like Gecko) QtWebEngine/5.12.10 Chrome/.128 Safari/537.36 % which cpp The first thing I had to do was to install the other packages I used.īuilds fails with the error: "make: *** No rule to make target cpp_saveAsBin', needed by fireMapperTools.so'." % which R The package contains some R methods and 1 Rcpp method. When I learned that versions of R and RStudio could run natively were now available I found I had to uninstall the old versions of R and RStudio and then install the arm64 versions. My first package attempt, using RStudio on an M1 macBook Pro, built, installed and worked it used Rosetta Stone. ![]()
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