Floyd Everest
Floyd Everest is a PhD candidate in the Department of Econometrics and Business Statistics at Monash. His research focuses on auditing instant-runoff voting elections. This led him to develop the R package 'prefio' for intuitive data manipulation when working with preferential voting datasets.
Session
Preferential datasets usually represent rankings for an individual voter across multiple columns or rows in a rectangular format. This can make working with these datasets cumbersome and unintuitive.
This talk will introduce prefio, an R package that lets you work with preferences in a tidy way without spanning multiple rows or columns, while providing convenient operations for manipulating preferential data.
There will be an interactive component to the talk, so get ready to cast some votes!