Add R devcontainer for statistical computing

Author: kmehant

containers/R/.devcontainer/Dockerfile

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+#-------------------------------------------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See https://go.microsoft.com/fwlink/?linkid=2090316 for license information.
+#-------------------------------------------------------------------------------------------------------------
+
+FROM r-base:3.6.0
+
+# Install git, process tools, lsb-release (common in install instructions for CLIs) and GPG
+RUN apt-get update && apt-get -y install git procps lsb-release
+
+
+# Clean up
+RUN apt-get autoremove -y \
+    && apt-get clean -y \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set the default shell to bash instead of sh
+ENV SHELL /bin/bash

containers/R/.devcontainer/devcontainer.json

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+{
+	"name": "R",
+	"dockerFile": "Dockerfile",
+	"runArgs": [
+		"--cap-add=SYS_PTRACE",
+		"--security-opt", "seccomp=unconfined"
+	],
+
+	// Uncomment the next line if you want to publish any ports.
+	// "appPort": [],
+
+	// Uncomment the next line if you want to add in default container specific settings.json values
+	// "settings":  { "workbench.colorTheme": "Quiet Light" },
+
+	// Uncomment the next line to run commands after the container is created.
+	// "postCreateCommand": "R --version",
+
+	"extensions": [
+		"ikuyadeu.r",
+		"mikhail-arkhipov.r"
+	]
+}

containers/R/.npmignore

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+README.md
+test-project
+.vscode
+.npmignore

containers/R/README.md

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+# R
+
+## Summary
+
+*Perform statistical computing using R language on linux. Includes R installed and needed extensions*
+
+| Metadata | Value |  
+|----------|-------|
+| *Contributors* | The VS Code Team, Mehant |
+| *Definition type* | Dockerfile |
+| *Languages, platforms* | R |
+
+## Using this definition with an existing folder
+
+This definition does not require any special steps to use. Just follow these steps:
+
+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) to set up your machine.
+
+2. To use VS Code's copy of this definition:
+   1. Start VS Code and open your project folder.
+   2. Press <kbd>F1</kbd> select and **Remote-Containers: Create Container Configuration File...** from the command palette.
+   3. Select the R definition.
+
+3. To use latest-and-greatest copy of this definition from the repository:
+   1. Clone this repository.
+   2. Copy the contents of `containers/R/.devcontainer` to the root of your project folder.
+   3. Start VS Code and open your project folder.
+
+4. After following step 2 or 3, the contents of the `.devcontainer` folder in your project can be adapted to meet your needs.
+
+5. Finally, press <kbd>F1</kbd> and run **Remote-Containers: Reopen Folder in Container** to start using the definition.
+
+## Testing the definition
+
+This definition includes some test code that will help you verify it is working as expected on your system. Follow these steps:
+
+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) to set up your machine.
+2. Clone this repository.
+3. Start VS Code, press <kbd>F1</kbd>, and select **Remote-Containers: Open Folder in Container...**
+4. Select the `containers/R` folder.
+5. After the folder has opened in the container, press <kbd>F5</kbd> to start the project.
+6. You should see "Hello, Remote World!" in the a terminal window after the program finishes executing.
+7. From here, you can add breakpoints or edit the contents of the `test-project` folder to do further testing.
+
+## License
+
+Copyright (c) Microsoft Corporation. All rights reserved.
+
+Licensed under the MIT License. See [LICENSE](https://github.com/Microsoft/vscode-dev-containers/blob/master/LICENSE).

containers/R/test-project/sample.R

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+# A sample R script
+
+myString <- "Hello, Remote World!"
+print ( myString)