A reproducible data analysis workflow with R Markdown, Git, Make, and Docker

Who It's For: Researchers who are familiar with R Markdown, Git, Make, and Docker and who want to better understand how to use these tools for reproducible research.

Why We Love It: For those familiar with these tools, this resource describes a workflow leveraging these tools to show how you can ensure the long-term reproducibility of your data analysis in a straightforward way. Through practical examples, you'll learn the necessity of combining these tools to make your code and data reproducible and reusable.