- Introduction to R variables, data types and graphical output;
- Simulate evolution of populations;
- Exploratory analysis for ecology and evolution (PCA, MDS, etc.);
- Linear regression, ANOVA and hypothesis testing using resampling techniques (bootstrap, permutations, etc.);
- Bayesian statistics: advanced inference algorithms (Markov chain Monte Carlo);
- Student’s case studies.
Date: February 11th, 2019 to February 15th, 2019
Deadline for Applications: January 11th, 2019