This repository contains the contents of the Robust and Open Analysis in R lesson (previously Best Practices in Data Analysis), which is currently in-development for being developed into The Carpentries format.
You can view the deployed lesson resources here.
All of the resources from the website can be found in this repository (and will remain here in the future). Please bookmark the following websites:
- This repository! Tinyurl: tinyurl.com/ROAR-workshop
- The deployed lesson resources! Tinyurl: tinyurl.com/ROAR-website
You shouldn't need the slides in the workshop (as all of the information is also in the deployed lesson resources) but if you'd like them, you can find the knitted slides here: - Course Introduction Slides - Reproducibility Crisis Slides - Version Control Slides
Please check out the set-up instructions!
If you're having trouble getting Git and Rstudio to talk, then use Rstudio Cloud and login with your GitHub username.
We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.
We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.
Please see the current list of issues for ideas for contributing to this
repository. For making your contribution, we use the GitHub flow, which is
nicely explained in the chapter Contributing to a Project in Pro Git
by Scott Chacon.
Look for the tag 
Current maintainers of this lesson are
- Natalie Thurlby (@NatalieThurlby)
- Rob Arbon (@RobertArbon)
We are currently looking for two more lesson maintainers, please contact Natalie and Rob if you'd like to get involved!
A list of contributors to the lesson can be found in AUTHORS
To cite this lesson, please consult with CITATION