Nicholas Tierney (Monash)

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Nicholas Tierney

Statistics

A seminar by Nicholas Tierney from Monash University

Title: Exploring and understanding the individual experience from longitudinal data, or "How to make better spaghetti (plots)"

Abstract:

This talk discusses two challenges of working with longitudinal (panel) data:

1) Visualising the data, and  

2) Understanding the model.

Visualising longitudinal data is challenging as you often get a "spaghetti plot”, where a line is drawn for each individual. When overlaid in one plot, it can have the appearance of a bowl of spaghetti. With even a small number of subjects, these plots are too overloaded to be read easily. For similar reasons, it is difficult to relate the model predictions back to the individual and keep the context of what the model means for the individual.

For both visualisation, and modelling, it is challenging to capture interesting or unusual individuals, which are often lost in the noise. Better tools, and a more diverse set of grammar and verbs are needed to visualise and understand longitudinal data and models, to capture the individual experiences.  

In this talk, I introduce the R package, **brolgar** (BRowse over Longitudinal data Graphically and Analytically in R), which provides a realisation of new concepts, verbs, and colour palettes to identify and summarise interesting individual patterns in longitudinal data. This package extends upon ggplot2 with custom facets, and the new tidyverts time series packages to efficiently explore longitudinal data.

Start date:

11am Thursday, 14 Nov 2019

End date:

12pm Thursday, 14 Nov 2019

Venue:

CBE LT1

Presenter(s):

Nicholas Tierney

Updated:   31 October 2019 / Responsible Officer:  CBE Communications and Outreach / Page Contact:  College Web Team