Event

This talk presents a sampler of methodologies for exploring and working with data, aimed at practical use in biostatistics. We'll cover `naniar` for visualising and summarising patterns of missingness; `tourr` for examining multivariable structure; `nullabor` for assessing visualisations using statistical inference, so that patterns seen in plots can be judged against null samples; and `brolgar` for exploring longitudinal data, including individual trajectories and patterns over time. The talk will focus on practical usage and reproducible workflows.

Dianne (Di) Cook is Professor of Statistics at Monash University. She is a world leader in data visualisation, especially the visualisation of high-dimensional data using tours with low-dimensional projections, and projection pursuit. She also works on bridging the gap between exploratory graphics and statistical inference. Di is a Fellow of the American Statistical Association, past editor of the Journal of Computational and Graphical Statistics and the R Journal, elected Board Member of the R Foundation, and elected member of the International Statistical Institute.

This seminar will be held via Zoom and will be recorded. Click here to join.

Or, go to https://monash.zoom.us/join and enter

Meeting ID: 895 7120 7726

Passcode: 431483