External learning resources

Books, cheat sheets, tutorials and videos for learning R

Material from outside the course that pairs well with it. Nothing here is required — use it where a topic has not clicked yet.

Books

• 📖 R for Data Science by Hadley Wickham and Garrett Grolemund — the book this course leans on most (source code)
• 📖 Introduction to Modern Statistics — the statistics background, with the regression chapters used directly in topics 4 and 5
• 📖 Mastering ’Metrics by Angrist and Pischke — the causal-inference narrative behind the course

Cheat sheets

One page per package, worth printing:

• Data import with readr, readxl and googlesheets4
• Data transformation with dplyr
• Data tidying with tidyr
• Data visualization with ggplot2
• The full cheat sheet collection

Interactive tutorials

• Open Intro interactive labs — simple and multiple regression, worked in the browser
• Filtering observations and summarising data — short learnr tutorials based on R4DS Ch. 5
• RStudio Cloud primers — referenced throughout the topic pages

Video courses

• Data Science Box by Mine Çetinkaya-Rundel — videos and slides for every wrangling and visualisation topic in this course
• Posit webinars (source code):
  • Data wrangling with R and RStudio by Garrett Grolemund
  • Tidyverse visualization manipulation basics by Garrett Grolemund
  • What’s new with readxl? with Jenny Bryan
• INBO tutorials — including R for beginners from the Research Institute for Nature and Forest, Belgium

Package documentation

Packages used repeatedly in the exercises:

• Wrangling — dplyr · tidyr · readr · readxl · janitor
• Models and diagnostics — performance · parameters · car
• Results and tables — modelsummary · broom
• Effects — ggeffects · modelbased
• Correlation — correlation · interpreting effect sizes
• Panel and IV — plm · AER

NoteA note on these links

The course ran in Summer Semester 2022 and some of the services linked here have since moved or closed — RStudio is now Posit, and the RStudio Cloud primers have changed address. Where a link no longer resolves, searching for the title usually finds the material at its new home.