Statistical modelling in R

JJ Valletta and TJ McKinley

22 November 2018

Preface

An introductory workshop to the field of statistical modelling in R. The focus will be on how to fit statistical models in R, rather than on the rigorous underlying mathematics. The target audience is anyone who wants to learn how to fit linear models in R. The progression will be linear models, generalised linear models and linear mixed effects models.

Prerequisites

• Programming basics in R

Learning outcomes

• Understand the key concepts and terminology used in statistical modelling
• Use R to fit linear, generalised linear and mixed effect models in R
• Recognise practical issues with fitting these models
• Checking model fit
• Perform model comparisons

Recommended reading

I highly recommend the following books:

• Statistics: An Introduction using R
• Linear models with R
• Data Analysis Using Regression and Multilevel/Hierarchical Models
• An Introduction to Statistical Learning
• Mixed Effects Models and Extensions in Ecology with R
• Extending the Linear Model with R

Data files

All data files can be downloaded as a ZIP file from here.

Acknowledgements

A big thanks to TJ McKinley for sharing a lot of material with me!