Analysing Quantitative Data with R
Welcome!
The purpose of this tutorial is to introduce you to key components of the statistical programming language R and to demonstrate some of the most commonly used methods than can be applied to preprocess and analyse quantitative data.
The tutorial is divided into four parts. Please work through each part in your own time, and ensure to complete the exercises at the end of each chapter.
If you have any queries, please feel free to get in touch.
Accessibility
The companion uses the font “Lexend”. Lexend fonts are intended to reduce visual stress and so improve reading performance. Initially they were designed with dyslexia and struggling readers in mind, but Bonnie Shaver-Troup, creator of the Lexend project, soon found out that these fonts are also great for everyone else.
Code is displayed in Recursive Mono. The font’s characters share the same width for clear legibility and perfect alignment. This is particularly helpful for use in programming and data-heavy design tasks, but also allows for creative possibilities in display typography.
Equations and mathematical expressions are set in Fira Math. Fira Math is easy to read with open shapes, clear spacing, and good contrast. This keeps subscripts, superscripts, and fractions legible - even at small sizes. It stays readable on screens and in print, reducing mix-ups between look-alike characters like 1, I, and l.
The companion also uses a dark mode theme. For many users, including some neurodivergent individuals, dark mode can reduce eye strain and enhance focus by minimising visual overstimulation.
Whilst I recognise that mobile phones play an essential part in all our daily lives, please note that this companion is optimised for display on tablets, laptops, and desktop computers.