summary.nominal.logistic.biplot


This parameter keeps the nominal logistic biplot object.


object


Boolean parameter to choose if the estimated coefficients will be printed on screen.Default value is FALSE.


completeEstim


Boolean parameter to choose if the individual coordinates will be printed on screen.Default value is FALSE.


coorInd


This function shows a summary of the principal results for the estimation
  for individuals and variables, like some Pseudo R-squared indices, the correct
  classification percentage of each regression, the logLikelihood and
  "Estimate coefficients", "Std. Error", "z value" or "Pr(>|z|)" values.


summary

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.

summary.nominal.logistic.biplot: Summary Method Function for Objects of Class 'nominal.logistic.biplot'

Description

Usage

Arguments

Details

See Also

Examples