Lecture notes
in chronological order, with slies and the code that produced the slides (that I run in class):
Section | Slides | Code | |
---|---|---|---|
STAC33 course outline | Slides | Code | |
Running R | Slides | Code | |
Reading data files | Slides | Code | |
Drawing graphs | Slides | Code | |
Numerical summaries | Slides | Code | |
Choosing things from dataframes | Slides | Code | |
Inference: one and two-sample t | Slides | Code | |
Bootstrap for sample mean | Slides | Code | |
Inference: power | Slides | Code | |
Inference: sign test | Slides | Code | |
Inference: normal quantile plot | Slides | Code | |
Inference: matched pairs | Slides | Code | |
Inference: Mood’s median test | Slides | Code | |
Inference: analysis of variance | Slides | Code | |
Writing reports | Slides | Code | |
Tidying data | Slides | Code | |
Tidying data: extras | Slides | Code | |
When pivot_wider goes wrong |
Slides | Code | |
Case study: windmill | Slides | Code | |
Case study: asphalt | Slides | Code | |
Regression with categorical variables | Slides | Code | |
Functions | Slides | Code | |
Vector and matrix algebra | Slides | Code | |
Bootstrap revisited | Slides | Code | |
Bayesian statistics with Stan | Slides | Code |