SCIBIOM303 Workshop 1: Introduction to R


Spring 2025

The data encounter in this course has three components. First, you’ll follow a series of general tutorials that present the R skills you’ll need for the course. Second, you’ll learn how to apply these skills to a specific case study related to the course content. Then, you apply the same skills to a new dataset in a group project.

As preparation for the workshop, you have learned to:

  1. install R
  2. find your way around R and RStudio

The first workshop will cover the following topics (each topic links to a separate tutorial with additional details and a video explanation):

  1. Objects and functions
  2. Data wrangling: filtering rows and selecting columns
  3. Data wrangling: creating new variables
  4. Data wrangling: summarizing data (within groups)
  5. The tidy workflow
  6. Data visualization: introduction to ggplot
  7. Data visualization: relationships between variables
  8. Statistics in R (only the section on linear regression is needed for the course)

In addition, the Data Center maintains a list of useful resources with additional tutorials and references.