Skip to content

Latest commit

 

History

History
76 lines (52 loc) · 2.81 KB

README.md

File metadata and controls

76 lines (52 loc) · 2.81 KB
Raw

Workshop: R Basics

UC Davis DataLab
Fall 2024
Instructors: Michele Tobias, Wesley Brooks
Maintainer: Nick Ulle <naulle@ucdavis.edu>

This 4-part workshop series provides an introduction to using the R programming language for reproducible data analysis and scientific computing. Topics include programming basics, how to work with tabular data, how to break down programming problems, and how to organize code for clarity and reproducibility.

After this workshop, learners will be able to load tabular data sets into R, compute simple summaries and visualizations, do common data-tidying tasks, write reusable functions, and identify where to go to learn more.

No prior programming experience is necessary. All learners will need access to an internet-connected computer and the latest version of Zoom, R, and RStudio.

Common Links

Contributing

The course reader is a live webpage, hosted through GitHub, where you can enter curriculum content and post it to a public-facing site for learners.

To make alterations to the reader:

  1. Check in with the reader's current maintainer and notify them about your intended changes. Maintainers might ask you to open an issue, use pull requests, tag your commits with versions, etc.

  2. Run git pull, or if it's your first time contributing, see the Setup section of this document.

  3. Edit an existing chapter file or create a new one. Chapter files are in the chapters/ directory and are Quarto Markdown files (.qmd). Enter your text, code, and other information directly into the file. Make sure your file:

    • Follows the naming scheme ##_topic-of-chapter.qmd.
    • Begins with a first-level header (like # This). This will be the title of your chapter. Subsequent section headers should be second-level headers (like ## This) or below.

    Put any supporting resources in data/ or images/. Store large files in Google Drive or other cloud storage rather than committing them to the repo. You do not need to add generated resources (such as HTML files). The render step saves these in docs/ automatically.

  4. In a terminal, navigate to this repo and run quarto render to re-render the website (the files in docs/).

  5. When you're finished, git add:

    • Any files you edited directly
    • Any supporting media you added to docs/ or images/
    • The entire docs/ directory
    • The entire _freeze/ directory

    Then git commit and git push. The live web page will update automatically after 1-10 minutes.

Setup

This project uses Quarto. Make sure it is installed before rendering the reader.

Back to Top