Adapted from -- See Microsoft VS Code - under MIT License
Perform statistical computing using the R language on Linux. Includes R / Bioconductor and needed extensions.
Metadata | Value |
---|---|
Contributors | nturaga |
Categories | Community, Languages |
Definition type | Dockerfile |
Works in Codespaces | Yes |
Container host OS support | Linux, macOS, Windows |
Container OS | Ubuntu |
Languages, platforms | R |
-
If this is your first time using a development container, please see getting started information on setting up Remote-Containers or creating a codespace using GitHub Codespaces.
-
Start VS Code and open your project folder or connect to a codespace.
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Press F1 select and Add Development Container Configuration Files... command for Remote-Containers or Codespaces.
Note: If needed, you can drag-and-drop the
.devcontainer
folder from this sub-folder in a locally cloned copy of this repository into the VS Code file explorer instead of using the command. -
Select this definition. You may also need to select Show All Definitions... for it to appear.
-
Finally, press F1 and run Remote-Containers: Reopen Folder in Container or Codespaces: Rebuild Container to start using the definition.
This definition includes some test code that will help you verify it is working as expected on your system. Follow these steps:
- If this is your first time using a development container, please follow the getting started steps to set up your machine.
- Clone this repository.
- Start VS Code, press F1, and select Remote-Containers: Open Folder in Container...
- Select the
Bioconductor_Codespaces
folder. - Open the
test-project/hello_bioc.R
and press the "Run Source" icon displayed in the upper right (or Ctrl + Shift + S key) to run the code. - You should see "Hello, remote world!" in a terminal window after the program executes.
Licensed under the MIT License