jupyterlab-desktop VS vscode-R

An alternative in the Python world that is definitely worth looking into is the JupyterLab Desktop app, which is a standalone installer that is cross-platform and works great for beginners (no command line needed): https://github.com/jupyterlab/jupyterlab-desktop?tab=readme-...

See my other comment in the main thread with more info.

JupyterLab Desktop supports remote server connections out of the box (you just install one locally and a plain JupyterLab on the server using pip).

How JupyterLab Desktop works

Although jupyter notebooks work fine in VSCode you could also try jupyter desktop: https://github.com/jupyterlab/jupyterlab-desktop

You might be interested in https://jupyterlite.readthedocs.io/en/latest/ and https://github.com/jupyterlab/jupyterlab-desktop too

Learning syntax of a new language is trivial, but also not very useful if you haven't learned programming in general. Learning programming is a lifelong process, you are never done with it. It's just a different way of thinking and problemsolving and there will always be problems that are just beyond you, its kind of like math or physics this way. But problems aren't unsolvable for you because you lack language, but because the problem is simply harder than what you can wrap your head around, or larger in scope than what you with limited time can pull off. But, knowing a little bit of programming and little bit of python can be a powerful thing in many jobs. Depends on which problems you need to solve of course. Get JupyterLab for desktop to play around with, it's probably worth your time. https://github.com/jupyterlab/jupyterlab-desktop

I am on the MacOS, and I would like to access the jlab executable like this webpage describes:

Oh - nice, thanks - so it looks like the interactive window is also possible, but not (yet) 'properly'/'officially' supported

https://github.com/REditorSupport/vscode-R/issues/1412

See here.

That one covers most of it but the fuller wiki is here - which is linked in that one. Often, for open source software, it’s worth looking at the GitHub/GitLab pages for documentation / links to documentation.

Nothing worked, even setting env variables etc and even setting the knit command as stated in this thread in the VSCode settings: Cannot find pandoc VSCode knit

R works very well in vscode using the vscode-r extension.

If you haven't used it recently, the R VSCode extention is at a state now where's it's much faster and performant than VS Code, especially with the radian addon as noted in the repo.

I'm not an RMarkdown user, but I do know that almost all of my R in VSCode setup came from following the advice of RenKun, and one of his more recent blog posts on his recommended extensions for running R in VSCode included Live Preview as an alternative way for rendering large RMarkdown files in VSCode. See also here.

I would give vscode with the R extension a go sometime if you fancy trying something other than vim (but if you're happy with vim just be happy with vim!).

Personally I would look to vscode with the vscode-r extension. It’s really nice and one of its reasons for existence is making it easier to work with R instances on a server. See here.

Everybody uses the Yuki Ueda extension, so just go here and follow the installation instructions for your operating system.