Home > STAT 873
Day #1
Section 1 - Background material
- Introduction to R
- Matrix algebra
- Data, distributions, and correlation:
- Please remember to reproduce all examples in the notes
Section 2 - Summarizing data
- Graphics
- Principal component analysis
- Factor analysis
- Cluster analysis
- Please remember to reproduce all examples in the notes
Section 3 - Prediction
- Discriminant analysis
- Nearest neighbor classification
- Logistic regression:
- Multinomial regression:
- Random forests:
- Notes:
- Programs:
- Data:
- Practice problems:
- Please remember to reproduce all examples in the notes
Section 4 - Classical methods
- Testing means:
- Please remember to reproduce all examples in the notes
