Biplots for Missing Data

Johané Nienkemper-Swanepoel, Mokgeseng Ramaisa

A paper by Johané is currently under review to provide guidance to users to decide on appropriate imputation strategies based on the underlying data characteristics.

Mokgeseng is completing his Masters under the supervision of Dr Nienkemper-Swanepoel. He has developed methodology to extend GPAbin biplots for categorical data to incomplete continuous data using principal component analysis biplots. GPAbin biplots allow the unified visualisation of visualisations from multiple imputations.