RStudio - Revision history

Haars0011: IA migration §7: polish — fix malformed (IDE) bold, wrap raw URL, SLURM casing, RStudio casing, add See also (via update-page on MediaWiki MCP Server)

2026-06-18T12:33:10Z

IA migration §7: polish — fix malformed (IDE) bold, wrap raw URL, SLURM casing, RStudio casing, add See also (via update-page on MediaWiki MCP Server)

← Older revision		Revision as of 12:33, 18 June 2026
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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 default, this ~~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]]

Itter003 at 15:43, 26 February 2026

2026-02-26T15:43:13Z

← Older revision		Revision as of 15:43, 26 February 2026
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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		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 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 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.

Honfi001: Rstudio

2026-02-25T12:17:12Z

Rstudio

← Older revision		Revision as of 12:17, 25 February 2026
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	~~bla~~		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]]
			RStudio is built with the aid of EasyBuild and makes use of the relevant R modules available at Anunna

			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.

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

			* R version
			* Partition: main by default but the GPU partition is available
			* Number of Hours: Max 4 hours
			* Number of CPUs: CPU cores available
			* Memory : Amount of RAM available
			* Number of GPUs: Zero by default, this need to be switched to, at least 1
			** Note that the GPU partition must be selected
			* Comment: Project number that will show up at your bill
			* Slurm options: Slurm flag overrides.

			=== 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 session is ready a "Connect to RStudio Server" button will appear which will allow the user to (re)connect to the corresponding active session.

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

Itter003: Created page with "bla"

2026-02-24T16:10:32Z

Created page with "bla"

New page

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