Writing R Packages
In this course, you will learn how to write your own R packages. We will start by demonstrating the basic steps of developing and publishing an R package using a sample package written by Dr. Mack. You will then have time to practice adding new features and getting packages ready for submission to CRAN.
By the end of the workshop participants should:
- Understand the anatomy of an R package
- Know how to start writing and documenting a new R package
- Know how to add and test/debug new features to an existing R package
- Know how to publish R packages on GitHub and CRAN
This is an introduction to writing your own R packages, not an introduction to R programming! You should already be comfortable with installing and using packages from CRAN, reading help files, writing conditional expressions (if/else, for loops, etc.), writing functions, and doing other common programming tasks with R. A familiarity with ggplot2 and GitHub would also be helpful. If you have attended one of the 2-day R workshops at UCSF or ar familiar with most of the content here, you should be ready to go. Contact email@example.com for questions.
This course uses R and RStudio. You must have these both installed on your laptop in advance of the workshop:
We also strongly encourage you to sign up for a GitHub account if you do not already have one. It's free! Join here.
Steve Mack, PhD is a Scientist at the Children's Hospital Oakland Research Institute, and Adjunct Assistant Professor at UCSF.
Karla Lindquist, PhD is the Scientific Lead for the Data Science Initiative in the UCSF Library.
This registration link is for UCSF Faculty. For general UCSF registration: sign up here
Related LibGuide: Bioinformatics and Statistics Resources by Karla Lindquist
- Thursday, February 28, 2019
- 10:00am - 1:00pm
- Mission Hall 1406
- Mission Bay