Students will learn basic and advanced techniques in multivariate analyses, they will perform exercises with data from ecological experiments. Specifically, the following topics will be introduced: data type and transformation; similarity and distance matrices; Mantel and partial Mantel tests; clustering technics; principal component analysis (PCA), correspondence analysis (CA), and non-metric multidimensional analysis (NMDS); redundancy analysis (RDA) and canonical correspondence analysis (CCA); multivariate analysis of variance (MANOVA); co-correspondence analysis (COCA); the fourth-corner problem. This course is given biennially and alternates with Biostatistics I - generalized linear models and mixed effects models.
- Enseignant·e: Louis-Félix Bersier
- Enseignant·e: Rudolf Philippe Rohr