Every lecture below pulls its title, topic, and description straight from the .qmd file’s YAML frontmatter — nothing here is hand-typed. Ordering comes from the order: field, which the sync_order_from_folder_names.R pre-render hook fills in automatically from each folder’s WW_MM_ number prefix. To reorder or move a lecture to another week, just change the two leading numbers on its folder name — the frontmatter and this page update themselves on the next render.
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Lecture
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Topic
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Lecture: Getting Started
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Asking a question, meeting R, and making your first graph
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Lecture: Wrangling Your Data
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Importing more than one way, reshaping columns, and saving what you make
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Lecture: Describing Your Data
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Mean, spread, counting correctly, and group summaries
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Lecture: Graphing Effectively
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Boxplots, group comparisons, and saving a publication-ready figure
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Lecture: Probability & Inference
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Foundations of inference
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Lecture: T-Tests: One, Two, Paired
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Comparing means
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Lecture: Non-Parametric T-Tests
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Rank-based tests
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Lecture: Power and Type I & II Error
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Errors and power
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Lecture: Study Design & Sampling
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Designing studies
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Lecture: Correlation vs Linear Models
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Relationships
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Lecture: Multiple Regression
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Several predictors
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Lecture: Analysis of Variance (ANOVA)
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Single-factor ANOVA
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Lecture: Two-Way ANOVA
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Factorial designs
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Lecture: Nested ANOVA
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Hierarchical designs
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Lecture: Linear Mixed Models
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Random effects for nested and hierarchical data
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Lecture: GLM & Logistic Regression
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Generalized linear models
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Lecture: ANCOVA — Analysis of Covariance
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Covariates
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Lecture: Multivariate Statistics
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Multivariate intro
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Lecture: Principal Component Analysis
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Ordination
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Lecture: NMDS & Cluster Analysis
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Community ordination
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Lecture: Review
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Course review
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