A straightforward introduction to a wide range of statistical methods for field biologists, using thoroughly explained R code.
Inhaltsverzeichnis
1. Basic statistical terms, sample statistics; 2. Testing hypotheses, goodness-of-fit test; 3. Contingency tables; 4. Normal distribution; 5. Student's T distribution; 6. Comparing two samples; 7. Nonparametric methods for two samples; 8. One-way analysis of variance (ANOVA) and Kruskal-Wallis test; 9. Two-way analysis of variance; 10. Data transformations for analysis of variance; 11. Hierarchical ANOVA, split-plot ANOVA, repeated measurements; 12. Simple linear regression: dependency between two quantitative variables; 13. Correlation: relationship between two quantitative variables; 14. Multiple regression and general linear models; 15. Generalised linear models; 16. Regression models for nonlinear relationships; 17. Structural equation models; 18. Discrete distributions and spatial point patterns; 19. Survival analysis; 20. Classification and regression trees; 21. Classification; 22. Ordination; Appendix 1. First steps with R software.
