In this workshop, we will first go through the ‘workflow’ of what a meta-analysis in R entails. We will then run through some code together on a sample dataset to get a global effect size and heterogeneity, as well as run some meta-regression analyses of potentially important moderator variables. We will also create some plots that are commonly used in meta-analyses. The code we learn in this workshop can be adapted to any meta-analysis dataset from any field.
Erin is an evolutionary biologist in the Inter-Disciplinary Ecology and Evolution Lab working with Prof Shinichi Nakagawa. She frequently conducts meta-analyses to synthesise the literature and address hypotheses related to evolutionary ecology. She has also dabbled in other disciplines including psychology and climate change.