Introduction to Mixed Modelling with R Workshop

Mixed modelling is often considered the go-to analysis for large health, social science, ecological, and biological data sets, particularly when there are repeated measurements for each subject or when there is clustering or multiple-levels apparent in the data. Mixed models can also be applied to longitudinal data with missing observations, a common hinderance to fitting ANOVA models. Able to be used across many data situations, mixed models are a form of regression analysis that are often instrumental in current statistical analyses.
This introductory in-person workshop will cover the basics of mixed modelling, introducing what are mixed models, what data is suited to mixed models, how to apply mixed models in R, and how to interpret the results. We cover the basics of using R and RStudio and give an overview of the tidyverse functions that can help get your data in the correct form for analysis. No prior knowledge of R is necessary. We will also show you how to create appealing data visualisations for clustered data using ggplot2 and review the basics of standard regression analysis, including interpreting categorical predictors and interaction terms.

Date: 7th December 2022
Time: 10am – 4pm
Location: SMART Building 6, Room 105 (in person)
Cost: $110 ($100 from an internal account)
Max Attendance: 15 people
Requirements: Bring your own laptop with R and RStudio installed (R and RStudio are free)

Contact Bradley Wakefield ( ) for any inquiries