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https://github.com/badouralix/vscode-remote-try-r

R sample project for trying out the VS Code Remote - Containers extension
https://github.com/badouralix/vscode-remote-try-r

docker dockerfile r vscode vscode-container vscode-remote

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R sample project for trying out the VS Code Remote - Containers extension

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README 

        
# Try Out Development Containers: R



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[![Docker Stars](https://img.shields.io/docker/stars/badouralix/vscode-remote-try-r?label=stars&logo=docker&logoColor=white)](https://hub.docker.com/r/badouralix/vscode-remote-try-r)

[![Docker Image Version (latest by date)](https://img.shields.io/docker/v/badouralix/vscode-remote-try-r?logo=docker&logoColor=white)](https://hub.docker.com/r/badouralix/vscode-remote-try-r)

[![Docker Image Size (latest by date)](https://img.shields.io/docker/image-size/badouralix/vscode-remote-try-r?label=size&logo=docker&logoColor=white)](https://hub.docker.com/r/badouralix/vscode-remote-try-r)



This is a sample project that lets you try out the **[VS Code Remote - Containers](https://aka.ms/vscode-remote/containers)** extension in a few easy steps.



> **Note:** If you're following the quick start, you can jump to the [Things to try](#things-to-try) section.



- [Setting up the development container](#setting-up-the-development-container)

- [Things to try](#things-to-try)

- [License](#license)



## Setting up the development container



Follow these steps to open this sample in a container:



1. If this is your first time using a development container, please follow the [getting started steps](https://aka.ms/vscode-remote/containers/getting-started).



2. To use this repository, you can either open the repository in an isolated Docker volume:



    - Press F1 and select the **Remote-Containers: Open Repository in Container...** command.

    - Type [`badouralix/vscode-remote-try-r`](https://github.com/badouralix/vscode-remote-try-r) and press return.

    - Wait for the container to start, and try things out!



    ![**Remote-Containers: Open Repository in Container...**](https://user-images.githubusercontent.com/19719047/82132333-f9efd600-97de-11ea-9572-e761a97e25b9.png "Remote-Containers: Open Repository in Container...")



    Or open a locally cloned copy of the code:



    - Clone this repository to your local filesystem.

    - Open the cloned copy of this folder.

    - Press F1 and select the **Remote-Containers: Reopen in Container** command.

    - Wait for the container to start, and try things out!



    ![**Remote-Containers: Reopen in Container**](https://user-images.githubusercontent.com/19719047/82131929-b98e5900-97da-11ea-868b-7542abd17a27.png "Remote-Containers: Reopen in Container")



## Things to try



Once you have this sample opened in a container, you'll be able to work with it like you would locally.



Some things to try:



1. **Edit:**



    - Open [learnxinyminutes.R](learnxinyminutes.R).

    - Try adding some code and check out the language features.



2. **Terminal:** Press ctrl+shift+\` and type `uname` and other Linux commands from the terminal window.

3. **R Interactive:**



    - Press F1 and run the **R: Create R terminal** command.

    - Try running some R commands.



4. **Run Source:**



    - Open [learnxinyminutes.R](learnxinyminutes.R).

    - Press F1 and run the **R: Run Source**.



    ![**R: Run Source**](https://user-images.githubusercontent.com/19719047/82131092-f1dd6980-97d1-11ea-89bb-1bfdd19e98cc.png "R: Run Source")



5. **Run Selection:**



    - Open [learnxinyminutes.R](learnxinyminutes.R) and select a few lines.

    - Press F1 and run the **R: Run Selection/Line** command.



    ![**R: Run Selection**](https://user-images.githubusercontent.com/19719047/82131094-f6a21d80-97d1-11ea-89e3-0d72239f3a34.png "R: Run Selection")



6. **Preview Dataframe:**



    - Open [learnxinyminutes.R](learnxinyminutes.R) and select a data frame, for instance `students`.

    - Press F1 and run the **R: Preview Dataframe** command.



    ![**R: Preview Dataframe**](https://user-images.githubusercontent.com/19719047/82505461-156c2100-9afe-11ea-90b4-42672d269173.png "R: Preview Dataframe")



## License



Unless explicitly stated to the contrary, all contents licensed under the [MIT License](LICENSE).