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 > > [[alternative HTML version deleted]] > > _______________________________________________ > R-sig-ecology mailing list > R-sig-ecology@r-project.org > https://stat.ethz.ch/mailman/listinfo/r-sig-ecology _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
