Hello, Using the default R environment with RStudio, I get a rather old R version - 4.3.1 (2023-06-16). What’s the easiest way to get an up-to-date R version (i.e. 4.5)? Ideally, I would like to use use the following docker containers bioconductor/bioconductor_docker:devel bioconductor/bioconduct…

Hi @lgatto ! Thank you for reaching out! The team is actively working to share a solution on this topic with you soon.

@lgatto I’ve set up two new global environments: “RStudio - Rocker” and “Bioconductor”. Both of these use the latest images (e.g. rocker/rstudio and bioconductor/bioconductor:devel). To use them, simply set up a new launcher using the global environment option. The configuration of these launchers …

Thank you very much @rrrrrok ! It works like expected. It would be great to be able to choose different releases (devel, RELEASE_3_22, …) and, as you mention, creating/customising my own images with specific packages. Let me know if I can help/test.

Hi @lgatto ! With the global session launchers that @rrrrrok has created, you should be able to create your own customized environments taking them as a base. The team is precisely devoting time to support R and R-studio code based environments, as you can check in our roadmap . In the meantime, I wo…

Recent version of R with RStudio environment

RenkuLab

rrrrrok 24 February 2026 14:35 6

@lgatto it would be great to have your input on our upcoming R image building feature! Discussion here: Calling all R users: we want to hear from you!

Topic		Replies	Views
RStudio version too old RenkuLab	31	2327	4 February 2022
Renku Base image with older R version RenkuLab	4	228	21 June 2022
Calling all R users: we want to hear from you! RenkuLab	1	32	13 March 2026
Recent Bioconductor project RenkuLab	4	251	22 September 2022
Unveiling a new suite of Renku Docker images and templates RenkuLab	0	323	20 February 2022

Recent version of R with RStudio environment

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