All models are wrong, but some are useful. – George Box
I am available for teaching introductory and advanced courses in applied statistics using R. Contact me for details and prices.
From zero to hero (five days): learn to read data in R, extract summary statistics, visualise data, and analyse normally-distributed data with t-tests, ANOVA, linear regression, ANCOVA.
Introduction to generalised linear models (two/three days): learn to analyse non-normally distributed data such as count data and success ratios.
Introduction to mixed-effect models (two days): mixed-effect models (MEM) allow to distinguish between fixed effects, namely our explanatory variables of interest, and random effects, namely explanatory variables that we want to account explicitly for but that are not our main focus.
Advanced mixed-effect models with glmmTMB (two/three days): learn how to use glmmTMB, the new kid on the block when it comes to mixed-effect models. This R package does what R packages nlme and lme4 do, and much more. Accounting for spatio-temporal correlation, data overdispersion, and zero-inflation is easy with glmmTMB.