This repo provides a starting template for a containerized development environment for my R projects in data science and Shiny application development, tailored to both the RStudio IDE as well as Visual Studio Code. For a more detailed description, please see the .devcontainer/README.md
),
HEADS UP: The latest version of the development files is a fairly substantial overhaul of the setup in the screencast below. I will record another video with the updates soon!
🎥 Check out this previous Shiny Developer Series livestream for a hands-on walkthrough of this setup!
Refer to the detailed instructions in .devcontainer/README.md
) for how to set up your environment to use this container setup. Once the setup is complete, you can access the Visual Studio Code and RStudio containers with the following instructions:
.devcontainer
folder, since the Remote extension will recognize this folder automatically.ports
directive in the .devcontainer/docker-compose.yml
configuration file: http://localhost:port_number
. For example, the default port specified in this repository is 9998
, hence you would use the address http://localhost:9998
in the address bar if you keep that port unchanged.