A docker tutorial for reproducible research.
This is an introduction to Docker designed for participants with knowledge about R and RStudio. The introduction is intended to be helping people who need Dockerfor a project. We first explain what Docker is and why it is useful. Then we go into the the details on how to use it for a reproducible transportable project.
- Lesson 01 What and Why
- Lesson 02 Launching Docker
- Lesson 03 Install packages
- Lesson 04 Dockerhub
- Lesson 05 Dockerfiles
- Lesson 06 Sharing your analysis
- Bring thumb drives with the docker images. If a bunch of people want to download the same 3GB image you might run into problems.
- Optional parts are marked with the word "Optional:" and italic text.