If you’re looking for a particular section of a tutorial, use this handy summary to jump straight to the section you want.
|
Topic
|
Sub-Topic
|
|
Tutorial 01: Logical Assertions and Filtering
|
|
Overview
|
|
|
Logical Data and Assertions
|
|
|
Vectorised Assertions
|
|
|
Filter
|
Basic Form, Matching Values, Ranges of Values, Missing Values
|
|
Combining Assertions
|
|
|
ChallengR
|
|
|
Tutorial 02: Data Wrangling
|
|
Overview
|
|
|
Data
|
Codebook
|
|
To-Do List
|
|
|
Mutate
|
Basic Form, Adding New Variables, Assigning Changes
|
Conditionals with case_when()
|
Basic Form, Recoding a Variable
|
|
Fixing Variables with Problems
|
|
|
ChallengR
|
|
|
Tutorial 03: The logic of piping |>
|
|
Introduction
|
|
|
The anatomy of a function
|
Arguments
|
|
The Pipe |>
|
One-function pipelines, Piping into named and unnamed arguments, Multi-function pipelines, Keeping the pipeline going
|
|
Debugging pipelines
|
|
|
ChallengR
|
|
|
Tutorial 04: Summarising data
|
|
Introduction
|
Data, Codebook
|
|
Research Question
|
|
Overall Summaries with summarise()
|
Basic Form, Counting Cases, Descriptives, Confidence Intervals
|
|
Grouped Summaries
|
|
|
Formatting Tables
|
|
|
Visually Interpreting CIs
|
|
|
ChallengR
|
|
|
Tutorial 05: T-test
|
|
Introduction
|
Study Design, Codebook
|
|
Data Preparation
|
|
|
Research Question
|
|
|
Visualisation
|
Revision of {ggplot2}
|
|
The t-test
|
|
|
Interpretation
|
|
|
Reporting
|
|
|
ChallengR
|
Data and Design
|
|
Tutorial 06: Correlation
|
|
Setting Up
|
|
|
Data preparation
|
Codebook
|
|
Correlation Matrices
|
Basic Matrix with cor(), Snazzy Matrix with GGally
|
|
Correlation Tests
|
|
|
Correlation does not imply causation
|
|
|
Formatting Results
|
|
|
Reporting
|
Report Formatting
|
|
ChallengR
|
Effective data wrangling with tidyselect
|