Quantitative Analyses of Field Data

Catalog description

A practical guide to the analysis of messy field data, including data exploration, generalized linear and additive models, mixed models, autocorrelation, and model selection using Program R. Students will have bootcamp to learn methods and tspend the rest of the semester analyzing their own data.