Dockerfile for tidyverse + causal inference related R packages

1. Launch and connect to an AWS instance

2. Install docker on the instance:

• Update the packages on your instance: $ sudo yum update -y
• Install Docker: $ sudo amazon-linux-extras install docker
• Start the Docker Service: $ sudo service docker start
• Tip- Add the ec2-user to the docker group so you can execute Docker commands without using sudo: $ sudo usermod -a -G docker ec2-user

3. Move the R scripts or folder from your local machine to the AWS instance

4. Obtain the docker template for running R on AWS

• Fork this repository
• Edit the source directory and password fields in the docker-compose.yml file.

The source directory will contain the filepath of the folder containing all the R scripts you’d like to run on the instance. Finally, set a password which serves as the log in password of RStudio once launched.

Note: The source directory should be based on the EC2 machine and not local machine [e.g. /home/ec2-user/<FOLDER NAME>]

• Move this repo folder containing the updated docker-compose.yml file to the EC-2 machine

5. Pull the image from docker hub: docker pull shrabastee/r-causalverse:latest

6. Install docker-decompose command on EC-2:

• Copy the appropriate docker-compose binary from GitHub: sudo curl -L https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m) -o /usr/local/bin/docker-compose

• Fix permissions after download: sudo chmod +x /usr/local/bin/docker-compose

• Verify if download was successful: docker-compose version

7. Run and configure docker image : docker-compose -f docker-compose.yml run --name rstudio --service-ports rstudio

8. Open the 8787 web server port on EC2 to host R

• Go to AWS management console
• Click the running instance —> Security
• Add default security group —> edit inbound rules
• Specify in bound rule: IP version = IPv4; Type = Custom TCP; Port range = 8787

9. Launch R:

• Open a new web window and enter URL: http://: 8787 Copy-paste the Public IPv4 DNS address for instance IP above.
• Enter rstudio as username and password as specified in the docker-compose file.