Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Ali Ünlü, Thomas Kiefer, Ehtibar N. Dzhafarov
Title: Fechnerian Scaling in R: The Package fechner
Abstract: Fechnerian scaling is a procedure for constructing a metric on a set of objects (e.g., colors, symbols, X-ray films, or even statistical models) to represent dissimilarities among the objects "from the point of view" of a system (e.g., person, technical device, or even computational algorithm) "perceiving" these objects. This metric, called Fechnerian, is computed from a data matrix of pairwise discrimination probabilities or any other pairwise measure which can be interpreted as the degree with which two objects within the set are discriminated from each other. This paper presents the package fechner for performing Fechnerian scaling of object sets in R. We describe the functions of the package. Fechnerian scaling then is demonstrated on real and artificial data sets accompanying the package.

Page views:: 3720. Submitted: 2009-03-30. Published: 2009-08-10.
Paper: Fechnerian Scaling in R: The Package fechner     Download PDF (Downloads: 3399)
Supplements:
fechner_1.0-1.tar.gz: R source package Download (Downloads: 964; 1MB)
v31i06.R.zip: v31i06.R: R example code from the paper Download (Downloads: 925; 1KB)
DOI: 10.18637/jss.v031.i06

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.