Exercises

Author
Affiliation

Beau B. Bruce, MD, PhD

Emory University

The exercises form the core instructional and evaluative material for the course.

  1. Rithmatic: a basic introduction starring the arithmetic operators [canvas]
  2. Atomic Data Types: a deep dive into R’s most important basic data types, i.e., numeric, character (strings), and logical (boolean) data types [canvas]
  3. Rcel, Part 1: an introduction to two of R’s composite data structures, i.e., vector and factor [canvas]
  4. Rcel, Part 2: a continuation of our exploration of key R composite data structures, focusing on list and data.frame [canvas]
  5. Functions: a deep dive into R functions, including function arguments and return values [canvas]
  6. Branching Out & Feeling Loopy: an introduction to control structures in R, including if statements and for loops [canvas]
  7. Food Prep: review of many concepts around data selection and indexing with some new techniques to help you transform, merge, and sort data [canvas]
  8. Reading & Writing Files: an introduction to reading and writing files in R, including CSV, Excel, and RDS files
  9. Base Graphics: an introduction to R’s base graphics system [canvas]
  10. Reproducible Research: learn to make reproducible research documents including formatted tables using Quarto [canvas]