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 for means | Slides | Code | |
| Assumptions for inference | Slides | Code | |
| Bootstrap | Slides | Code | |
| Power | Slides | Code | |
| Alternative tests | Slides | Code | |
| 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 | |
| Bayesian statistics with Stan | Slides | Code |