Introductory statistics and Bayesian data analyses using linear models with R and Stan

Basics of statistics: scale of measurements, basic r-functions: looking at data frames, plots (histograms, tables, scatterplots, box plots, etc. At the end of the week, participants can explain the difference between SE and SD, intro Bayes statistics): LM, normal linear model (regression, ANOVA), LMM, normal linear mixed model. More insight into normal linear mixed models (predictive model checking...), you will also get to work on your own data...