Appendices
Exploratory Data Analysis
Introduction
I: A first look at R
1
The importance of data analysis
2
From messy to clean
3
Your digital notebook
II: Getting familiar with programming
4
Functions and summary statistics
5
Debugging and testing
6
Correlation
7
Diving into the tidyverse
Visualization & (un)supervised analysis
8
Gene expression analysis: salt and heat stress in Arabidopsis
9
Clustering
10
Principle Component Analysis and Differential Gene Expression
IV: Going furthR
11
Errors and outliers
12
Genotypic data, colour schemes and GWAS
13
String operations
Appendices
Base R cheatsheet
Tidyverse Cheatsheet
GGplot cheatsheet
Datasets
QMD notebook cheatsheet
References
Appendices
13
String operations
Base R cheatsheet