If you’re looking for a particular section of a tutorial, use this handy summary to jump straight to the section you want.
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Sub-Topic
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Tutorial 01: Logical Assertions and Filtering
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Overview
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Logical Data and Assertions
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Vectorised Assertions
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Filter
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Basic Form, Matching Values, Ranges of Values, Missing Values
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Combining Assertions
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ChallengR
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Tutorial 02: Data Wrangling
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Overview
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Data
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Codebook
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To-Do List
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Mutate
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Basic Form, Adding New Variables, Assigning Changes
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Conditionals with case_when()
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Basic Form, Recoding a Variable
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Fixing Variables with Problems
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ChallengR
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Tutorial 03: The logic of piping |>
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Introduction
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The anatomy of a function
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Arguments
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The Pipe |>
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One-function pipelines, Piping into named and unnamed arguments, Multi-function pipelines, Keeping the pipeline going
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Debugging pipelines
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ChallengR
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Tutorial 04: Summarising data
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Introduction
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Data, Codebook
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Research Question
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Overall Summaries with summarise()
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Basic Form, Counting Cases, Descriptives, Confidence Intervals
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Grouped Summaries
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Formatting Tables
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Visually Interpreting CIs
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ChallengR
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Tutorial 05: T-test
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Introduction
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Study Design, Codebook
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Data Preparation
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Research Question
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Visualisation
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Revision of {ggplot2}
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The t-test
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Interpretation
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Reporting
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ChallengR
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Data and Design
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Tutorial 06: Correlation
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Setting Up
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Data preparation
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Codebook
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Correlation Matrices
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Basic Matrix with cor(), Snazzy Matrix with GGally
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Correlation Tests
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Correlation does not imply causation
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Formatting Results
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Reporting
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Report Formatting
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ChallengR
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Effective data wrangling with tidyselect
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Tutorial 07: Chi-square
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In Hot Water
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A Lady Tasting Tea
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Data and Design
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Visualising Counts with Bar Charts
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More on scale_...() functions
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Chai-Square[^3] Analysis
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Reporting \(\chi^2\) Analysis
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General Format for Reporting Statistical Results, Observed and Expected Frequencies, More about htest objects
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ChallengR
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Tutorial 08: Linear model (1)
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Setting Up
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Understanding the Equation
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Using the Equation, Flatlining
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The lm() function
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Running the Model
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Interpreting the Model
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Visualisation
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Using the Model
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ChallengR
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Tutorial 09: Linear model (2)
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Introduction
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Warm-up Quiz
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Setting Up
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What is “best fit”? {#best-fit}
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Deviations and Residuals, Finding the Best Line
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Visualisation
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Testing Hypotheses
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The F Statistic, More detailed summaries
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Reporting Results
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In-Text Reporting, Table Reporting
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That’s all for this week - nice work!
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ChallengR
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Tutorial 10: Linear model (3)
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Introduction
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Warm-up Quiz
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Setting Up
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One Predictor
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Two Predictors
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Comparing Models
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R2 Change, F-change
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Comparing Predictors
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Reporting
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ChallengR
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