COGS2020
Lectures
Practice
Tutorials
Lectures
Week 1
Understanding variable types in R
Understanding the Workspace in R
Container Variable Types and Accessing Elements in R
Writing and Calling Functions in R
Container Variable Type Coercion in R
Assignment Operators in R
Loops and Conditional Flow in R
Getting Help in R
Creating a Minimal Reproducible Example
Week 2
Using external libraries
Introduction to
data.table
Adding and updating
data.table
columns
data.table
joins
data.table
reshaping
Chaining
data.table
calls
Week 3
Introduction to
ggplot
Basic Aesthetics in
ggplot
Common Geoms in
ggplot
Scales in
ggplot2
Customization and Themes in
ggplot2
Faceting with
ggplot2
Creating PDFs with R Markdown
Week 4
Visuals Visuals Visuals
Core Concepts of Statistical Thinking
Descriptive Statistics and Data Visualization in R: Central Tendency
Descriptive Statistics and Data Visualization in R: Dispersion and Spread
Basic Experiment Design in Psychology and Cognitive Science
Week 5
Fundamentals of Probability
Random Variables and Probability Distributions
Moments of Random Variables
Key Probability Functions
Week 6
Central Limit Theorem part 1
Central Limit Theorem part 2
Central Limit Theorem part 3
Distribution of Sample Means
Normal test
Two-tailed tests
Critical Values
Confidence Intervals
Three Ways to Make a Decision
Week 7
Effect Size
Inferential Error and Statistical Power
Review of Power
P-Hacking
Putting it all together
Week 8
Standardisation and the
\(z\)
distribution
The single sample
\(t\)
-test
\(t\)
-tests for comparing two means
Week 9
One-way ANOVA
Repeated Measures One-way ANOVA
Two-way ANOVA
Mixed ANOVA
Week 10
Correlation
Simple linear regression
Multiple regression
Partial correlation
Week 11
TBD
Week 12
TBD
Week 13
TBD