The R Demo files in this repository are synced with the online resource Data Essentials with R (DEWR), created to support the student and instructional needs of IPHY 3280 and 5800, undergraduate and graduate statistics courses in the Integrative Physiology Department of CU Boulder. These files contain the same content as DEWR but are organized into a student-friendly R project with 5 quarto files, each of which is presented as an R demonstration during lecture periods.
3280/5800 enrolled students should fork this repository, set up local git repositories on their personal computers, and explore the code functionality. The 3280/5800 instructor team will continue to collaboratively update, expand, and improve this course resource. Students who continue to work with data and R will have a resource that evolves in pace with R updates and developments, as well as best practices in data science.
Use of this content is open to the public and has no restrictions whatsoever.
IPHY instructors can follow the steps below to contribute to the repository.
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For developing and suggesting new content:
a. Clone the repository (create a local GIT repository) and create a new branch based on the develop branch.
b. Make changes and commits to your personal branch.
c. Push the branch to the remote repository.
d. Create a pull request (PR) from your branch to the develop branch.
e. I will review the PR, provide feedback, and approve it if appropriate.
f. Once approved, collaborators can merge the PR into the develop branch. -
For suggesting changes to the main Branch (i.e. typo fixes, bug fixes, small changes):
a. Clone the repository (create a local GIT repository) and create a new branch based on the main branch.
b. Make changes and commits to your branch.
c. Push the branch to the remote repository.
d. Create a pull request (PR) from your branch to the main branch.
e. I will review and approve the PR.
f. Once approved, you can merge the PR into the main branch.
For questions, please email: steven.hobbs@colorado.edu