Week 1: R, RStudio, and tidyverse basics
Lectures
- 1.0 Data Science and R(PDF)
- 1.1 Getting Started with R and RStudio(PDF)
- 1.2 R Packages and the Tidyverse(PDF)
- 1.3 Working with Files and Paths(PDF)
- 1.4 Introduction to R Concepts(PDF)
- 1.5 R Markdown and Quarto(PDF)
- Sample Quarto report(PDF)
Labs
Additional readings
- R for Data Science: Introduction
- R for Data Science: Workflow basics
- STAT 545: R basics and workflows
- Hands-On Programming with R: The Very Basics
Discussion
- What is one analysis you want R to do this semester that is awkward in a spreadsheet?
- After installing R and RStudio, what still feels unclear: the console, scripts, projects, or packages?