Reproducible Research in R: ISE

An introductory course on using R for reproducible research in server environments

Authors

Luke W. Johnston

Daniel Ibsen

Alisa D. Kjaergaard

Kris Beicher

Omar Silverman

Published

March 13, 2024

Welcome!

🚧 This section is being actively worked on. 🚧

This course is designed to address these issues in code-along sessions (instructor and learner coding together), reading activities, and exercises using real-world datasets. This website contains all of the material for the course, from reading material to exercises to images. It is structured as a book, with “chapters” as lessons, given in order of appearance. We make heavy use of the website throughout the course where code-along sessions follow the material on the website nearly exactly (with slight modifications for time or more detailed explanations).

The course material was created using Quarto to write the lessons and create the book format, GitHub to host the Git repository of the material, and GitHub Actions with Netlify to create and host the website. The original source material for this course is found on the r-cubed-ise GitHub repository.

Want to contribute to this course? Check out the README file as well as the CONTRIBUTING file on the GitHub repository for more details. The main way to contribute is by using GitHub and creating a new Issue to make comments and give feedback for the material.

Re-use and licensing

Creative Commons License

The course is licensed under the Creative Commons Attribution 4.0 International License so the material can be used, re-used, and modified, as long as there is attribution to this source.