Journal
MATHEMATICAL GEOLOGY
Volume 37, Issue 7, Pages 773-793Publisher
SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s11004-005-7379-3
Keywords
Aitchison geometry; atypicality index; logratio transformation; outliers; perturbation; principal components; simplex; ternary diagram
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available