RMHogervorst/heisertransform: Transforms 3 Categorical Probabilities Into X,Y Coordinates

An implementation of heiser (2004) that helps to visually display relative probabilities to categorical assignment. Vertices, representing the relative frequency of the categories, form the corners of a triangle. Individual points in the triangle have a relative position based on strength of association towards the vertices (category). Thus points closer to a vertice have a larger probability towards that category. This triangle approach is distinct from other triangle plots known as terniary plots, trilinear diagrams or triplots where every side of the triangle displays a dimension, effectively creating a triangular coordinate system. In our approach the relative probabilities are transformed to an euclidian 2-dimensional space, making direct distance comparisons possible. This package creates the vertices and coordinates for three categorical probabilities that can be plotted with the plotting system of your choice. For background information, the method and higher dimensional generalizations: Geometric representation of association between categories, 2004 , Psychometrika VOL. 69, NO. 4, 513-545.

install.packages("remotes")
remotes::install_github("RMHogervorst/heisertransform")