Nominal2Binary


A vector containing the values of nominal variable measured on a set of individuals- The values must be integers starting at 1.



This function transforms a nominal variable into a binary matrix with as many
  colums as categories. Each row of the matrix has
   a value of 1 for the corresponding level of the category and 0 elsewhere.


nominal

Binary

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.

Nominal2Binary: Transformation of a nominal variable into a binary indicator matrix

Description

Usage

Arguments

Value

Examples