Resources

Here are some resources that are very useful for learning R and quantitative research methods.

Introduction to Modern Statistics (2e)

Introduction to Modern Statistics by Mine Çetinkaya-Rundel and Johanna Hardin is an excellent textbook for learning foundational concepts in statistics and data analysis while learning R.

The online textbook is free and available at https://openintro-ims.netlify.app/.

Also see http://openintro.org/book/ims for supplementary materials and additional resources.

Hands-On Programming with R

Hands-on Programming with R by Garrett Grolemund is a straightforward introduction to R. It is useful to learn the basics of R notation.

We cover most of the content in Part 1 & 2 in the first four weeks, but if you want to approach the same content from a different angle, you will find this textbook useful.

It is freely available here: https://rstudio-education.github.io/hopr/

R for Data Science (2e)

R for Data Science (2e) by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund is an introductory textbook on getting started with R and tidyverse for data management, analysis and visualisation. It is an excellent source to learn the basics of R, R Studio and tidyverse.

It can be used as a reference textbook, especially when you are struggling to recall the syntax. It has many examples to get a grasp (or remember) how to use many base R and tidyverse functions.

It is free and available here: https://r4ds.hadley.nz/

R Graphics Cookbook

R Graphics Cookbook by Winston Chang is a detailed textbook on creating visualisations in R via using ggplot2.

It is free and available here: https://r-graphics.org/

ggplot2: Elegant Graphics for Data Analysis (3e)

This book explains the underlying theory behind ggplot2. It is available here: https://ggplot2-book.org/