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 |