This is the 2023 edition of the course. If you’re looking for the 2022 edition: https://github.com/b-rodrigues/rap4mads
I wrote an entire book on the subject that you can read here: https://raps-with-r.dev/ The book goes much deeper than the course obviously.
This repository contains the files of the bookdown I use to teach "Reproducible Analytical Pipelines" in the master’s of data science at the University of Luxembourg.
You can find the bookdown here.
I make a lot of references to my other bookdown, Modern R with the tidyverse.
I think you can benefit from reading this bookdown even if you’re not a student of the master’s of data science. I go through the basics of what you need to know in order to set up a RAP -- a reproducible analytical pipeline.
For any questions, just open an issue on this repository.
You can render the book locally: start by forking the repo and clone your fork, then after having installed the Nix package manager, drop into a Nix shell using nix-shell and then run quarto render.
The code in this repo is licensed under the WTFPL.
