Lecture 1: Course Overview, RStudio, R Markdown, Data Types, and Vectors
Lecture 2: Matrices, Lists, and Data Frames
Lecture 4: More on Functions, Scoping Rules, Reading and Writing Files, and Probability Review
Lecture 5: ggplot2 and dplyr (Download the three Jupyter notebooks 05a, 05b, and 05c from Canvas! This entire lecture was on the three Jupyter notebooks.)