[R-sig-eco] Measurement distance for proportion data
Zbigniew Ziembik
ziembik at uni.opole.pl
Tue May 13 14:32:25 CEST 2014
I am not sure, but it seems that your problem is related to
compositional data analysis. You can probably use Aitchison distance to
estimate separation between proportions.
Take a (free) look at:
http://www.leg.ufpr.br/lib/exe/fetch.php/pessoais:abtmartins:a_concise_guide_to_compositional_data_analysis.pdf.
http://dugi-doc.udg.edu/bitstream/10256/297/1/CoDa-book.pdf.
or (commercial):
Aitchison, J. 2003. The Statistical Analysis of Compositional Data. The
Blackburn Press.
Best regards,
ZZ
Dnia 2014-05-12, pon o godzinie 16:37 +0000, Javier Lenzi pisze:
> Dear all,
> I'm doing data exploration on seabirds trophic ecology data and I am using ANOSIM to evaluate possible differences in diet during breeding and non-breeding seasons. As starting point I am using some classical indexes such as %FO (relative frequency of occurrence), N (number of prey counted in the pooled sample of pellets), %N (N as a percentage of the total number of prey of all food types in the pooled sample), V (total volume of all prey in the pooled sample), and IRI (index of relative importance).
> I have a concern on which similarity meassurement should I use in ANOSIM for those indexes that are proportions.. I am aware that for instance Bray-Curtis is used for count data (e.g. N) and Jaccard is used for presence-absence data (which I don't have), however I did not find a proper distance measurement for proportion data. Please, could you help me to find a proper distance measurement for these proportion data?
> Thank you very much in advance. Regards,Javier Lenzi
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>
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