Courses
We teach three courses annually, usually one per term.
This page lists the most recent iteration of each course.
Upcoming courses
There are no upcoming courses currently scheduled, though it is likely we will run the R Programming course in Spring 2025.
Past courses
R Foundations (Oct–Nov 2024)
This course is primarily aimed at first year Statistics PhD students. It has been developed as a prerequisite for those attending the Academy for PhD Training in Statistics (APTS) to cover the R material that’s required for those modules.
We cover an introduction to R and RStudio; Data types, structures, and data wrangling using the tidyverse; programming in R; simulation and optimisation; graphics (both base and ggplot2), and Quarto.
R Programming (March 2024)
This is an intermediate/advanced level course. Topics covered include writing functions, error handling and debugging, classes and methods, efficient programming, profiling, C++ and Rcpp, and R tools for working with git/GitHub.
R Packages (June 2024)
This is a hands-on workshop covering the entire process of creating an R package: including functions and data, checking and testing, all levels of documentation, publication and maintenance. The final session covers the advanced topic of using Rcpp code in a package.