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Getting Started with R
Installing R and RStudio
Using R Notebooks
Basic Project Management
Data Entry
Importing Data
Data Types + Structure
Data Manipulation
Making New Variables
Subsetting data
Summarising data
Combining datasets
Reshaping data
Coding Skills
Good Practices for Code
Writing Functions
Using Loops
Version Control
Asking Code Questions
Graphics
Basic Plotting in R
One Continuous Variable
Two Continuous Variable
One Continuous and One Categorical Variable
Plotting in R with ggplot2
The Basics of ggplot2
Customising your ggplot
Titles and Axes Labels
Colours and Shapes
Barplot with Errorbars
Multivariate Data
Multidimensional Scaling
Principal Component Analysis
Cluster Analysis
Heatmaps
Spatial Data
The Basics of Rasters
Simple Maps with ggmap
Interactive Maps in R
Statistics
T-tests
One Sample T-test
Two Sample T-test
Paired T-test
Linear Models
Linear Regression
Interpreting Linear Regressions
ANOVA
Single Factor ANOVA
Factorial ANOVA
Nested ANOVA
Understanding Interactions
Generalised Linear Models (GLMs)
Introduction and Binary Data
Count Data
Interpreting GLMs
Mixed Models
Introduction
Crossed and Nested Factors
Generalised Mixed Models
Generalised Additive Models (GAMs)
Categorical Data Analyses
Goodness of Fit
Contingency Tables
Fisher's Exact Test
Power Analyses
Multivariate Analysis with mvabund
Time Series Forecast
Meta-Analyses
Introduction
Fixed-effect and Random-effect Models
Multilevel Models
Datasets
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Understanding Interactions