NominalDistances


This parameter is a matrix with the nominal variables



Boolean parameter to specify if the user wants a distances matrix or a similarities matrix. By default this parameter is FALSE, so the function calculates the distances.


similarities


This function calculates the hamming distances (or similarities) among individuals from a nominal data matrix. 


nominal

distances

Analysis of a matrix of polytomous items using Nominal Logistic Biplots (NLB)
according to Hernandez-Sanchez and Vicente-Villardon (2013).
The NLB procedure extends the binary logistic biplot to nominal (polytomous) data.
The  individuals are represented as points on a plane and the  variables are represented
as convex prediction regions rather than vectors as in a classical or binary biplot.
Using the methods from Computational Geometry, the set of prediction regions is converted to a set of points
in such a way that the prediction for each individual is established by its closest
"category point". Then interpretation is based on distances rather than on projections.
In this package we implement the geometry of such a representation and construct computational algorithms
for the estimation of parameters and the calculation of prediction regions.

NominalDistances: Distances between indidividuals calculated from nominal variables.

Description

Usage

Arguments

Value

References

Examples