REditorSupport
Experience of RStudio User Trying to migrate
I am a data scientist. I was recommended to try Visual Studio Code as a replacement for RStudio. I gave it a good shot but decided not to use it for the following reasons:
- I am used to RStudio Code Colouring and was not able to reproduce it in Visual Studio.
- Outline works only half the time and I couldn't find an option to just show a simplified version like in RStudio (only labels lines starting with # outside chunks.)
- Plots/Outputs do not show up inline in the R notebook like in Rstudio. There's no way to quickly copy a plot by right clicking.
- Variables did not show up. I could not double click variables (like a dataframe) to check its contents.
Overall, I think you should address these basic issues to make it easier to migrate from RStudio. It shouldn't be a matter of searching through this issue forum for 2hours+ to get these basic things to work.
Apart the first point, there are a lot of themes outside to choose, the rest of points here work.
- You should give a look at
Rpanel in the Activity Bar. It contains a Workspace panel with Attached Namespaces, Loaded Namespaces and Global Environment. - When I plot (or ggplot) something, a plot is displayed inside an editor: right clicking displays a menu with
copyitem. - See 2): hovering on the variable you may remove or view the object; if you view the object a panel is displayed with the content of the variable; if the variable is a data frame, you see a sort of spreadsheet.
Hope that helps; just in case you may provide more information or steps to reproduce the issue.
I was recommended to try Visual Studio Code as a replacement for RStudio.
The beauty of VS Code is that it has extensions for R, Python and Julia – today's major Data Science languages.
@purisuto VS Code not only replaces RStudio but also PyCharm and Juno; the latter has been officially replaced by the VS Code Julia extension.
Check out my reference deployment at https://demo.jupyter.b-data.ch or have a look at
ℹ️ Each docker stack has also GPU accelerated images available.
What makes these images different:
- Multi-arch:
linux/amd64,linux/arm64/v8ℹ️ Runs on Apple M series using Docker Desktop. - Base image: Debian instead of Ubuntu ℹ️ CUDA-enabled images are Ubuntu-based.
- IDE: code-server next to JupyterLab ℹ️ code-server = VS Code in the browser.
- Just Python – no Conda / Mamba
I was recommended to try Visual Studio Code as a replacement for RStudio.
The beauty of VS Code is that it has extensions for R, Python and Julia – today's major Data Science languages.
@purisuto VS Code not only replaces RStudio but also PyCharm and Juno; the latter has been officially replaced by the VS Code Julia extension.
Check out my reference deployment at https://demo.jupyter.b-data.ch or have a look at
ℹ️ Each docker stack has also GPU accelerated images available.
What makes these images different:
- Multi-arch: ,
linux/amd64``linux/arm64/v8ℹ️ Run natively on Apple M1/M2 (Docker Desktop).- Base image: Debian instead of Ubuntu ℹ️ CUDA-enabled images are Ubuntu-based.
- IDE: code-server next to JupyterLab ℹ️ code-server = VS Code in the browser.
- Just Python – no Conda / Mamba
VS Code is great, but the biggest problem for me is that there is no color distinction for the input and output of R code in the terminal. Additionally, the error and warning messages are also written similarly to other code. So I have to face a large white undifferentiated code in terminal when using VS Code. Rstudio does great about this. Do you have any advise to solve this problems?
@lijiaqi-github Have you tried radian? https://github.com/randy3k/radian
Sure, but there is a new problem, https://github.com/REditorSupport/vscode-R/issues/1390.
I'm sorry to say this, but I think Radian is a bit slow to respond, and there are some errors that I have never encountered in RStudio.
Sure, but there is a new problem, #1390.
@lijiaqi-github Can you reproduce this on my reference deployment at https://demo.jupyter.b-data.ch?
- OS: Debian 12
- Code Version: 1.79.2
- Radian Version: 0.6.6
- r executable:
/usr/local/lib/R/bin/R - r version: 4.3.1
- python executable:
/usr/local/bin/python - python version: 3.11.4
- r executable:
ℹ️ This seems to be a Windows specific issue.
@benz0
li I'm not very familiar with programming software, so I'm hoping that's my problem. It was me who made a mistake, but I can't figure out the reason.
Would it be better to switch from Windows to Mac?
Here is my configuration and VScode setting.json. I tried to open Radian by VS Code in your Jupyter link, but I'm not familiar with Jupyter and couldn't succeed. I haven't used Jupyter before, so I don't know how to do it. ######################################################################### OS: Windows 11 Pro for Workstations version-22H2 22621.1928 Code Version: 1.80.0 (VS code) Radian Version: 0.6.6 (I don't know how to check the version. I installed radian last week so it should be 0.6.6) r executable: C:\Program Files\R\R-4.3.1\bin\R.exe r version: 4.3.1 python executable: C:\Users[myname]\AppData\Local\Programs\Python\Python311\python.exe python version: 3.11.4 VS code setting.json { "r.bracketedPaste": true, "r.rterm.windows": "C:\Users\[myname]\AppData\Local\Programs\Python\Python311\Scripts\radian.exe", } #########################################################################
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