Compositional data analysis with 'R' and the package 'compositions'

Geological Society Special Publication

Volumn 264, Issue , 2006, Pages 119-127

  Van Der Boogaart, K G ^a   Tolosana Delgado, R ^b  

^a UNIVERSITY OF GREIFSWALD   (Germany)

^b UNIVERSITY OF GIRONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL DATA;

EID: 33751019462     PISSN: 03058719     EISSN: None     Source Type: Book Series    
DOI: 10.1144/GSL.SP.2006.264.01.09     Document Type: Article

References (4)

1. Aitchison, J. 2002. Simplicial inference. In: Viana, M. A. G. & Richards, D. S. P. (eds) Algebraic Methods in Statistics and Probability. Contemporary Mathematics Series, 287, American Mathematical Society, Providence, Rhode Island, 1-22.
2. Aitchison, J., Barceló-Vidal, C., Egozcue, J. J. & Pawlowsky-Glahn, V. 2002. A concise guide to the algebraic geometric structure of the simplex, the sample space for compositional data analysis. In: Bayer, U., Burger, H. & Skala, W. (eds) Proceedings of the 8th Annual Conference of the International Association for Mathematical Geology, Berlin, Germany, 387-392.
3. Pawlowsky-Glahn, V. & Egozcue, J. J. 2001. Geometric approach to statistical analysis on the simplex. Stochastic Environmental Research and Risk Assessment, 15 (5), 384-398.
4. R Development Core Team 2003. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria (http://www.R-project.org).