R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing.

This course covers:

Day 1: Foundations of R: get familiar with R, R studio, operators, variables, functions, directories and the script editor
Day 2: Visualisation in basic R (boxplots, scatterplots, line graphs and histograms) and ggplot2 (same types of plots and also manipulation of data for use within this package as well as simple linear regression)
Day 3: Introduction to statistical analyses in R: univariate statistics (choosing the right test, checking data assumptions, calculating and extracting the values to report in publications) and Principal Component Analysis (calculation and visualisation with ggplot2)
Extra materials: Introduction to the Tidyverse, Introduction to for loops

All materials have been built using relevant life sciences/clinical examples. The course has been designed to introduce R from the very basics. Therefore applicants do not need any prior experience to attend, just the desire to learn R. Real life examples with bioinformatic applications are included.