RStudio: Difference between revisions

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The '''RStudio integrated development environment (IDE''') is a set of tools built to help you be more productive with R and Python.  
The '''RStudio''' integrated development environment (IDE) is a set of tools built to help you be more productive with R and Python.
[[File:RStudio-form-20260225.png|thumb|595x595px|Resource Allocation Form]]
[[File:RStudio-form-20260225.png|thumb|595x595px|Resource Allocation Form]]
RStudio is built with the aid of EasyBuild and makes use of the relevant R modules available at Anunna. Access through https://apps.anunna.wur.nl/
RStudio is built with the aid of EasyBuild and makes use of the relevant R modules available at Anunna. It is available through the [[Portal Overview|Apps Portal]] (https://apps.anunna.wur.nl/).


Rstudio can be found both in the All Applications Menu at the navigation bar, and as a button in the Featured Apps speed dial. By clicking in either option, the user will be taken to a form where they will be able to allocate resources for their RStudio session.  
RStudio can be found both in the All Applications menu in the navigation bar and as a button in the Featured Apps speed dial. Clicking either option takes you to a form where you can allocate resources for your RStudio session.


=== Resource Allocation form ===
== Resource allocation form ==
The resource allocation form allows the use to select the following options
The resource allocation form lets you select the following options:


* R version
* '''R version'''
* Partition: main by default but the GPU partition is available
* '''Partition''': <code>main</code> by default, but the GPU partition is available
* Number of Hours: Max 4 hours
* '''Number of hours''': maximum 4 hours
* Number of CPUs: CPU cores available
* '''Number of CPUs''': CPU cores available
* Memory : Amount of RAM available
* '''Memory''': amount of RAM
* Number of GPUs: Zero by defaultthis need to be switched to, at least 1
* '''Number of GPUs''': zero by default; switch this to at least 1 to use a GPU
** Note that the GPU partition must be selected
** Note that the GPU partition must be selected
* Comment: Project number that will show up at your bill
* '''Comment''': project number that will show up on your bill
* Slurm options: Slurm flag overrides.
* '''SLURM options''': SLURM flag overrides


=== Connecting to an active session ===
== Connecting to an active session ==
Once the form has been filled, the use can then click on the Launch button. This cause the screen to switch to the interactive sessions page where a new session will be listed.  
Once the form has been filled in, click the '''Launch''' button. The screen switches to the interactive sessions page, where the new session is listed.


Once the session is ready a "Connect to RStudio Server" button will appear which will allow the user to (re)connect to the corresponding active session.  
Once the session is ready, a '''Connect to RStudio Server''' button appears, which lets you (re)connect to the active session. The card also has a red '''Cancel''' button to terminate your session.
[[File:RStudio-connect-20260225.png|center|thumb|509x509px|RStudio active session card at My Interactive Sessions]]


The card also has a red "Cancel" button where the user may terminate their session.
== See also ==
[[File:RStudio-connect-20260225.png|center|thumb|509x509px|RStudio active session card at My Interactive Sessions]]
* [[Portal Overview]]
* [[R]]
* [[Jupyter]]

Latest revision as of 12:33, 18 June 2026

The RStudio integrated development environment (IDE) is a set of tools built to help you be more productive with R and Python.

Resource Allocation Form

RStudio is built with the aid of EasyBuild and makes use of the relevant R modules available at Anunna. It is available through the Apps Portal (https://apps.anunna.wur.nl/).

RStudio can be found both in the All Applications menu in the navigation bar and as a button in the Featured Apps speed dial. Clicking either option takes you to a form where you can allocate resources for your RStudio session.

Resource allocation form

The resource allocation form lets you select the following options:

  • R version
  • Partition: main by default, but the GPU partition is available
  • Number of hours: maximum 4 hours
  • Number of CPUs: CPU cores available
  • Memory: amount of RAM
  • Number of GPUs: zero by default; switch this to at least 1 to use a GPU
    • Note that the GPU partition must be selected
  • Comment: project number that will show up on your bill
  • SLURM options: SLURM flag overrides

Connecting to an active session

Once the form has been filled in, click the Launch button. The screen switches to the interactive sessions page, where the new session is listed.

Once the session is ready, a Connect to RStudio Server button appears, which lets you (re)connect to the active session. The card also has a red Cancel button to terminate your session.

RStudio active session card at My Interactive Sessions

See also