Robust Open Analysis in R: Glossary

The results of published research don’t always reproduce.

Make your data and analysis FAIR (Findable, Accessible, Interoperable and Reusable); as apen as possible, and as closed as necessary

Ask for help if you need statistics or software support: research software engineers, your statistics department.

IDEs such as RStudio make coding and data analysis easier and more reproducible.

Literate programming combines text and code to make readable code and reproducible documents.

RMarkdown fascilitates literate programming and produces good looking documents in a variety of formats

Git is like an unlimited undo button that also helps you work with others

GitHub keeps a public copy of your Git repository, with extra functionality

Introduce yourself to git using the git config command.

Make a new branch whenever you want to do a new task

Use git add, then git commit, then git push to copy snapshots that you’re happy with from your local files to the public copy on GitHub

Merge branches back into the master branch when the task is finished

Open Science Framework (OSF) is a tool for organising and preregistering projects and sharing them on the web

Rstudio, Rmarkdown, Git and Github can be combined to create reproducible data analysis workflow