Home
Preparations
Resources
Packages
Sessions
Day 1
Introduction RStudio
Introduction R
Functions
Data frames & tibbles
Tidyverse and readr
Day 2
Ggplot2
Dplyr
Day 3
Tidyr
Statistical tests
Day 4
Bring your own data
Extras
Common R errors
Good practice coding
AI Tools
Downloads
R Script Day 1
R Script Day 2
R Script Day 3
BYOD datasets
RNAseq data
Ice cover data
Paralympics
Wine quality
Example scripts
RNAseq volcano, heatmap, PCA
Read and combine multiple tables
Correlation plots
PCA
k-means clustering
Source Code
Report an Issue
Common errors
Slides in full screen
Download PDF slides