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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
BYOD example scripts
RNAseq volcano, heatmap, PCA
Read and combine tables
Correlation plots
Perform PCA
Source Code
Report an Issue
Functions in R
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