Syllabus
1. An ecological example
2. The S-Plus language
3. Introduction to experimental design
4. Understanding data: graphical analysis
5. Understanding data: basic statistics
6. Regression
7. Analysis of variance
8. Analysis of covariance
9. Generalized linear models
Annotation
Introduction to experimental design. Understanding data: basic statistic and graphical analysis.
Classical tests. Regression.
Analysis of variance. Analysis of covariance.
Statistical modelling. Model simplification.
Model criticism.