This section builds on the R Basics chapters. You can already import data, wrangle it with dplyr, and create plots with ggplot2. The chapters here help you handle real-world complications: combining tables from multiple sources, automating repetitive tasks, writing reusable functions, and working with messy data formats. Each chapter is self-contained - feel free to pick the topics most relevant to your current work.

Required R packages

The chapters in this section use the R packages below. Run this once to install any that are missing:

pkgs <- c(
  "tidyverse", "janitor", "scales", "glue", "broom",
  "patchwork", "ggrepel", "ggupset", "tinytable", "readxl",
  "openxlsx2", "httr2", "withr", "curl", "assertthat",
  "cli", "rlang"
)
install.packages(setdiff(pkgs, rownames(installed.packages())))

How to navigate ..

.. through chapters

You can navigate chapters by clicking on the table of chapters on the left. Alternatively, you can always go to the next chapter by clicking on its name at the end (i.e. scroll all the way down)

.. through content within chapters

Within a chapter, you can navigate through the content by clicking on the table of contents on the right.