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Authors: Stefano Iacus, Giuseppe Porro
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Invariant and Metric Free Proximities for Data Matching: An R Package
Reference: Vol. 25, Issue 11, Apr 2008
Submitted 2007-03-19, Accepted 2008-03-31
Type: Article
Abstract:

Data matching is a typical statistical problem in non experimental and/or observational studies or, more generally, in cross-sectional studies in which one or more data sets are to be compared. Several methods are available in the literature, most of which based on a particular metric or on statistical models, either parametric or nonparametric. In this paper we present two methods to calculate a proximity which have the property of being invariant under monotonic transformations. These methods require at most the notion of ordering. An open-source software in the form of a R package is also presented.

Paper: [download]
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Invariant and Metric Free Proximities for Data Matching: An R Package
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Supplements: [download]
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rrp_2.7.tar.gz: R source package
(application/x-gzip, 952.9 KB)
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v25i11.R: R example code from the paper
(text/plain, 6.4 KB)
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Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: Commons GNU General Public License License
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