Preface

These notes are based on weekly tutorial sheets I developed for a postgraduate social science course in 2020 to complement weekly lectures and online tutorials. They were written in R Markdown, using the bookdown package.1

The core texts we used were Fox and Weisberg (2019), An R Companion to Applied Regression (Third Edition) and Healy (2019) Data Visualization: A Practical Introduction – both fabulous for learning applied statistics using R.

All the datasets used are available in CRAN packages, e.g., car; however, I think it helps to learn how to download and read in csv files, so that is what I ask readers to do. All the necessary files are linked in each chapter.

I have included exercises which all come with solutions; to hide these, simply use the scrollbar to ensure that they are off the edge of the visible part of the screen…2

Feedback welcome.

Creative Commons Licence
Using R for social research by Andi Fugard is licensed under a Creative Commons Attribution 4.0 International License.


  1. The GitHub repository is over here.↩︎

  2. I originally used the .tabset attribute to hide answers; however, it doesn’t work for bookdown.↩︎