Introduction to R

These are course notes for the “Introduction to R” course given by the Monash Bioinformatics Platform for the Proteomics Pre-Lorne workshop. Our teaching style is based on the style of The Carpentries. This course is focussing on the modern Tidyverse set of packages. We believe this is currently the quickest route to being productive in R.

• PDF version for printing
• ZIP of data files used in this workshop

During the workshop we will be using the RStudio Cloud to use R over the web:

• RStudio Cloud

You can also install R on your own computer. There are two things to download and install:

• Download R
• Download RStudio

R is the language itself. RStudio provides a convenient environment in which to use R, either on your local computer or on a server.

Source code

This book was created in R using the rmarkdown and bookdown packages!

• GitHub page

Authors and copyright

This course is developed for the Monash Bioinformatics Platform by Paul Harrison, Anup Shah & Adele Barugahare.

This work is licensed under a CC BY-4: Creative Commons Attribution 4.0 International License. The attribution is “Monash Bioinformatics Platform” if copying or modifying these notes.

Data files are derived from Gapminder, which has a CC BY-4 license. The attribution is “Free data from www.gapminder.org”. The data is given here in a form designed to teach various points about the R language. Refer to the Gapminder site for the original form of the data if using it for other uses.