Dealing with compositional data : The freeware CoDaPack

Issue Title: Advances in Compositional Data The statistical analysis of compositional data based on logratios of parts is commonly used in geological studies. In particular, descriptive methods of reduction of dimensionality as the biplot or Principal Component Analysis are very useful tools in a mu...

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Veröffentlicht in:Mathematical geology 2005-10, Vol.37 (7), p.773-793
Hauptverfasser: THIO-HENESTROSA, S, MARTIN-FERNANDEZ, J. A
Format: Artikel
Sprache:eng
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Zusammenfassung:Issue Title: Advances in Compositional Data The statistical analysis of compositional data based on logratios of parts is commonly used in geological studies. In particular, descriptive methods of reduction of dimensionality as the biplot or Principal Component Analysis are very useful tools in a multivariate context. These methods are difficult to use correctly with compositional data in standard packages. In this paper we describe a freeware package, named CoDaPack, which implements most of the basic statistical methods suitable for compositional data. An example using real data is presented to illustrate the use of the package.[PUBLICATION ABSTRACT]
ISSN:0882-8121
1874-8961
1573-8868
1874-8953
DOI:10.1007/s11004-005-7379-3