Modules

How the modules work

Most modules follow the same four-step structure:

Do — you carry out a small task or exercise in R.
See — you observe and inspect the result of what you did.
Predict — before moving on, you make a prediction about what will happen in a new, related case.
Explain — you explain why it happened, connecting the result back to the underlying concept.

Software setup

Install R and RStudio and get comfortable with the interface.

Basics

Learn to write and run your first commands in the R console.

Functions

Learn how to define and call your own functions in R.

Packages and Documentation

Learn how to install, load, and get help with R packages.

Vectors and Matrices

Work with vectors and matrices, the building blocks of R’s data structures.

Lists and Dataframes

Store and organize your data using lists and dataframes.

Factors

Represent categorical data in R using factors.

Basic Visualization

Create your first plots and charts with Base R graphics.

Pipes

Compose functions cleanly using pipe operators.

Descriptive Statistics

Summarize your data using descriptive statistics.

Workflow

Learn how to structure an efficient, repeatable workflow for your R projects.

Reproducible reporting

Write reproducible reports and documents with Quarto.

External Data

Import external datasets into R.

Data Manipulation

Filter, sort, and reshape your data to get it ready for analysis.

GGplot visualizations

Learn how to create layered, publication-ready plots with ggplot2.

Advanced Functions

Write your own functions to make your R code reusable.