Statistical Modelling, Mixed Models, GLMs in R

Statistical modelling, Mixed Models, GLMs in R (6 sessions)

These 6 sessions introduce statistical modelling in R, focussing on tools and concepts most commonly used in the analysis of biological data: linear models, interactions, random effects, generalized linear models for binary and count data.

Prerequisite: Basic R-coding.

Introduction to statistical modelling, code, HR Download, Streaming (ANU sign-in required).

Linear models, interpretation, prediction, additive effects, interactions code, HR Download, Streaming (ANU sign-in required).

Variance structure and introduction to random effects code, HR Download, Streaming (ANU sign-in required).

Random effects and mixed models in lme4 code, HR Download, Streaming (ANU sign-in required).

GLMs and logistic regression code, HR Download, Streaming (ANU sign-in required).

GLMs for count data code, HR Download, Streaming (ANU sign-in required).