Reproducible Research with RStudio and Docker
Hosted by R-Ladies Gainesville
Details
November R-Ladies Meeting: Reproducible Research with RStudio and Docker
6:30 pm – 8:00 pm
Reproducible data analysis is gaining traction in many scientific fields because it improves collaboration, increases transparency and trust in science, and can make your workflows more efficient. We’ll discuss some of the issues that arise when someone else (or future you) tries to recreate statistical analyses and figures. Then, we’ll use two tools (RStudio and Docker) to create a reproducible data analysis. You are welcome to follow along with the reproducible data analysis tutorial even if you don’t have the following tools installed on your computer.
Please install (or update) these programs prior to the meet-up. We will be at the meet-up location 30 minutes early to troubleshoot installation issues.
- R
- RStudio
- Docker Desktop or Toolbox*
Installation guides
R and RStudio installation guides from Data Carpentry can be found here: https://datacarpentry.org/R-ecology-lesson/index.html#setup_instructions
Open the programs and check for errors.
Docker Desktop installation guides from Cyverse can be found here (Section 2): https://github.com/sanjanasudarshan/container_camp_workshop_2019/blob/master/docker/dockerintro.rst
Test the Docker installation by following Section 2.1.
*Older versions of Mac and Windows may need to install Docker Toolbox instead of Docker Desktop:
https://docs.docker.com/toolbox/toolbox_install_windows/
https://docs.docker.com/toolbox/toolbox_install_mac/
When you install Docker Desktop/Toolbox, you’ll create a Docker Hub username and password. We will use these during the session.