The statistical anlyses requires various packages to be installed, and may not work properly if package versions have changed. Therefore, a Docker image is provided to run the code reproducibly.

If you already have docker installed

• Run the following in a terminal (substituting in a user name and password):

docker run -d -p 8787:8787 -e USER=<user> -e PASSWORD=<password> awconway/zhf-review

• Open a web browser and go to: localhost:8787
• Enter your username and password to enter an RStudio session.
• Create a new project from version control (File > New project > Version Control > Git > https://github.com/awconway/zhf-review.git )
• Open the manuscript folder, then open and knit the document manuscript.Rmd to completely reproduce the analysis of results presented in the publication as manuscript.docx.

There will be a pop-up window asking you to download the word document when it is ready.

Instead of installing docker on your system you can run it on a remote server, such as Digital Ocean. This link provides you with $100 free credit to use for a 60-day period. After signing up, follow these steps to run this project on a Digital Ocean droplet:

• Create a DigitalOcean droplet. Choose a server with Docker installed from the Marketplace menu and choose a size for your server (number of CPUs and amount of RAM). The default is a good choice.

• Select User data from the Select additional options section and enter the text as displayed below (substituting in a username and password).

#cloud-config
runcmd:
  - docker run -d -p 8787:8787 -e USER=<user> -e PASSWORD=<password> awconway/zhf-review

• Create the droplet.

• Wait a few minutes for the docker image to load into the server then open a web browser and type in the ip address of the droplet you just created followed by the port 8787 (e.g. ipaddress:8787).

• Follow the instructions for cloning the repository and running the analyses as outlined above.

• Destroy the DigitalOcean droplet when finished inspecting the analyses.