Abstract
Seriation, i.e., finding a linear order for a set of objects given data and a loss or merit function, is a basic problem in data analysis. Caused by the problem's combinatorial nature, it is hard to solve for all but very small sets. Nevertheless, both exact solution methods and heuristics are available. In this paper we present the package seriation which provides the infrastructure for seriation with R. The infrastructure comprises data structures to represent linear orders as permutation vectors, a wide array of seriation methods using a consistent interface, a method to calculate the value of various loss and merit functions, and several visualization techniques which build on seriation. To illustrate how easily the package can be applied for a variety of applications, a comprehensive collection of examples is presented.
| Originalsprache | Englisch |
|---|---|
| Erscheinungsort | Vienna |
| Herausgeber | Department of Statistics and Mathematics, WU Vienna University of Economics and Business |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2007 |
Publikationsreihe
| Reihe | Research Report Series / Department of Statistics and Mathematics |
|---|---|
| Nummer | 58 |
Bibliographische Notiz
Frühere VersionWU Working Papers und Cases
- Research Report Series / Department of Statistics and Mathematics
Publikationen
- 1 Originalbeitrag in Fachzeitschrift
-
Getting Things in Order: An Introduction to the R Package Seriation
Hahsler, M., Hornik, K. & Buchta, C., 2008, in: Journal of Statistical Software. 25, 3, S. 1 - 34Publikation: Wissenschaftliche Fachzeitschrift › Originalbeitrag in Fachzeitschrift › Begutachtung
Open AccessDatei188 Downloads (Pure)
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