I have been using RStudio for statistical analysis and am interested in improving the way I organise my projects for reproducibility.
For projects involving data cleaning, statistical analysis, visualisation, and reporting, what workflow do experienced RStudio users recommend?
In particular, I would be interested in practical advice on:
- Organising folders and project files
- Managing scripts for different stages of an analysis
- Using
.Rprojprojects effectively - Managing packages and package versions
- Keeping raw and processed data separate
- Creating reproducible reports with Quarto or R Markdown
- Managing larger statistical projects with Git
What does a good RStudio project structure look like for a typical statistical analysis?