Skip to main navigation Skip to search Skip to main content

Dealing with compositional data: The freeware CoDaPack

Research output: Contribution to journalScientific articlepeer-review

126 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)773-793
Number of pages21
JournalMathematical Geology
Volume37
Issue number7
DOIs
Publication statusPublished - Oct 2005

Keywords

  • Aitchison geometry
  • Atypicality index
  • Logratio transformation
  • Outliers
  • Perturbation
  • Principal components
  • Simplex
  • Ternary diagram

Fingerprint

Dive into the research topics of 'Dealing with compositional data: The freeware CoDaPack'. Together they form a unique fingerprint.

Cite this