Lecture notes

Here are my lecture notes, all of them, in chronological order, with the slideshows, PDF versions of those (for printing) and the Quarto documents with the code that made the slides:

Section	Slides	PDF	Code
STAC32 course outline	Slides	PDF	Code
STAC33 course outline	Slides	PDF	Code
STAD29 course outline	Slides	PDF	Code
Running R	Slides	PDF	Code
Reading data files	Slides	PDF	Code
Drawing graphs	Slides	PDF	Code
Numerical summaries	Slides	PDF	Code
Choosing things from dataframes	Slides	PDF	Code
Inference: one and two-sample t	Slides	PDF	Code
Bootstrap for sample mean	Slides	PDF	Code
Inference: power	Slides	PDF	Code
Inference: sign test	Slides	PDF	Code
Inference: normal quantile plot	Slides	PDF	Code
Inference: matched pairs	Slides	PDF	Code
Inference: Mood’s median test	Slides	PDF	Code
Inference: analysis of variance	Slides	PDF	Code
Writing reports	Slides	PDF	Code
Tidying data	Slides	PDF	Code
Tidying data: extras	Slides	PDF	Code
When pivot_wider goes wrong	Slides	PDF	Code
Case study: windmill	Slides	PDF	Code
Case study: asphalt	Slides	PDF	Code
Regression with categorical variables	Slides	PDF	Code
Functions	Slides	PDF	Code
Vector and matrix algebra	Slides	PDF	Code
Bootstrap revisited	Slides	PDF	Code
Bayesian statistics with Stan	Slides	PDF	Code
Regression revisited	Slides	PDF	Code
Logistic regression	Slides	PDF	Code
Dates and Times	Slides	PDF	Code
Durations, intervals and periods	Slides	PDF	Code
Survival analysis	Slides	PDF	Code
ANOVA revisited	Slides	PDF	Code
Analysis of Covariance	Slides	PDF	Code
Multivariate ANOVA	Slides	PDF	Code
Repeated measures	Slides	PDF	Code
Discriminant analysis	Slides	PDF	Code
Cluster analysis	Slides	PDF	Code
Drawing maps	Slides	PDF	Code
Principal components	Slides	PDF	Code
Factor analysis	Slides	PDF	Code
Multiway frequency tables	Slides	PDF	Code