This course explores the use of ANOVAs in R.
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This half-day course covers one-way Analyses of Variance (ANOVA) and their non-parametric counterparts in R.
ANOVA (Analysis of Variance) is a statistical method used to determine whether there are significant differences between the means of three or more groups. It helps analyse the effect of independent variables on a dependent variable by comparing the variance within groups to the variance between groups. ANOVA tests assume normality, homogeneity of variances, and independence of observations, and can be used to explore relationships in datasets, such as how factors like study time or parental education affect student performance.
Learning Outcomes:
Tuesday 24 November 9am-12pm
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Prerequisites:
This course assumes an intermediate level of programming proficiency, plus familiarity with the syntax and functions of the dplyr and ggplot2 packages. Experience navigating the RStudio integrated development environment (IDE) is also required.
If you’re new to programming in R, we strongly recommend you register for the following training:
Training will be conducted via Zoom. A Zoom link will be shared with registrants a week before training date.
About your Trainer:
Dr Ankit Beniwal is Intersect’s Digital Research Analyst (DRA) for Flinders University in 2026. He holds a PhD in Physics from the University of Adelaide and has held multiple post-doctoral positions in Europe. His technical expertise includes Python and R, complemented further by proficiency in qualitative research tools like Qualtrics, NVivo, REDCap, etc.
Workshop