0.
Introduction to R
R Studio & Coding Environment
Setting up your workspace
Creating a project
Notebooks and Markdown
Importing Data
1.
Data Exploration and Manipulation
Packages
Viewing your data
Columns
Manipulating data
The Rename Function
The Mutate Function
The Filter Function
The Select Function
Joining Data
Removing Items
The Summarise Function
The Pipe Function
2.
Statistical Analysis
Analysis of Variance
Analysis of Variance
Assumptions
Normality
Homogeneity of Variance
Viewing results
Two-factor ANOVAs
Tukeys HSD
Linear Regression
Generalised linear models (GLM's)
3.
The Grammar of Graphics
The Grammar of ggplot2
Basic plots
Customising your graph
Themes
Axis lines
Background
Grids
Axis labels
Proper examples
Bar plots
Basic bar plots
Errorbars
Significant notation
Bar graphs - part 2
Finalising our Barplot
Scatter plots and Lines
Scatter plots
Linear Lines
Logistic regression
Multiple Plots
Facetting
Saving multiple figures
4.
Formatting your code
Using your notebook efficiently
Headings and Navigation
Code Chunks
Annotating code
Knitting to word, html and pdf
5.
Spatial Analysis in R
More
Datasets
Github repository
Clear History
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Introduction to R
Setting up your working environment in R studio