One other thing that might help find the version - you can try running the command rstudio-server version on the command line, or even from the Terminal/Shell in RStudio and that should output the installed version information as well.
As you would have guessed, just knowing the version isn't my real problem. Why I want to know the version is to check if my upgrade went through or not. And, why I want to upgrade, is because I am getting a plethora or errors on rstudio on the ubuntu server (to be clear it is non-pro rstudio) like a lot of packages not getting installed, the help not working, startup errors like these
You might also want to make sure you're installing the server version and not the desktop version, especially if the rstudio-server commands aren't working. The instructions you linked from StackOverflow are for the desktop version - if you want RStudio Server, you'll want to make sure you're installing the latest server version following the directions here: -server/
Now coming to your advice to upgrade rstudio server @EconomiCurtis, the below link you sent is for a fresh instal. Is there a separate link for upgrading. I am afraid I did do a fresh instal but cant see the upgraded version and also none of the bugs go away. So definitely, the fresh instal is lying in some directory on the Ubuntu server and the rstudio that I get at x.x.x.x:8787 is the old one.
Current script relies on rstudioapi and clipr packages. Presumably in electron version new packages will be provided. One of us here should (and RStudio enthusiasts can) look into what APIs are being developed / ported to electron.
My last version of Rstudio was 2022.02.3. Today I wanted to update to 2023.06.0. I downloaded and extracted the file: RStudio-2023.06.0-421.zip. When I now start rstudio.exe I get the error messegage "Rstudio is not working anymore". In the previous version I had to point to the folder, wehre R is installed. Now Rstudio crashes with no possibility to choose for R-version. I gues it is related to the last post in the above mentioned topic:
Which versions of R do you have installed on the server and where are they located? Which R versions are recognized by Connect, i.e. which are shown at the bottom of the "Documentation" tab? Do you use any RVersion* settings in /etc/rstudio-connect/rstudio-connect.gcfg?
And I restarted the service via sudo systemctl restart rstudio-connect, but the issue still remains (can only find 3.6.3 on deployment from RStudio IDE, and the "Documentation" tab still only shows 3.6.3)
I installed r language and r studio on my Fedora-20 system few months back. After that I got busy and now coming back to it. I wanted to know what my R version is, and I am unable to find any help on it. Is there any command/function I can use to find out version of r and rstudio?
Hello - any updates on this on the Renkulab side? The ableuler/renkulab-r:rstudio-fix image works, but I still have the issue on Renku. What changes do I need to do to benefit from that fix. I seem to have updated my Dockerfile, but without success.
After you have loaded the R module, you can use the command R to start the command line version of R or rstudio to launch the graphical IDE. If you want to use RStudio, you need X-windows functionality enabled for your connection. See Logging in to Quest for instructions on connecting to Quest with support for the X Window System.
To use RStudio Workbench on Databricks, you need to convert your Pro License to a floating license. For assistance, contact he...@rstudio.com. When your license is converted, you must set up a license server for RStudio Workbench.
Files stored in local storage that are mounted to /home/rstudio. The home directory has a storage limitation of 2 GB and is used to store the RStudio session workspace. Note that you are allocated 2 GB for your home directory storage across all of your projects, irrespective of whether you use RStudio in each project. As a consequence, you should only store R script files and small data files in the home directory. It is not intended for large data files or large generated output. All large data files should be uploaded as project assets, which are mounted to the project-objectstorage directory from where you can access them.
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