Day 1: Getting started with R

Slides here.

Setup and ergonomics

• Scripts and what the buttons do
• Running code and using the console
• The environment, and why not to save it

References

• Prefresher, Ch. 7: Orientation and reading in data
• r4ds, Ch. 6: Workflow — scripts and projects

Packages, libraries, and variables

• Installing packages versus loading libraries
• Assigning and inspecting variables

References

• r4ds, Ch. 2: Workflow — basics

Types, vectors, and objects

• Types and vectors (there are no scalars)
• Characters and strings

References

• Prefresher, Ch. 8: Manipulating vectors and matrices
• r4ds, Ch. 27: A field guide to base R

Data frames and reading data

• Basic data frames
• Reading and saving data: csv, .rda, .rds
• Working directories and paths
• R as a calculator: mean(), median(), summary(), and custom summaries

References

• r4ds, Ch. 7: Data import
• Prefresher, Ch. 7.5: Reading in and inspecting data