Data sets have been scaled and closed using acomp(). The dist() function
returns a matrix of Aitchison distances row-by-row in the data set. Example:
2004 2005 2006 2011 2012
2005 0.5917687
2006 0.7084941 1.1382195
2011 0.5796871 0.3503394 0.9175847
2012 1.3615670 0.8098764 1.7682454 0.9206943
2013 1.4955697 1.2024123 1.6751463 1.0146711 1.2160550
The compositions book has a brief sidebar on dist() on pages 40-41 with
simple examples but no discussion of how to use the results.
How do I interpret this output? Can I extract insight into the variability
of this data set from these distances? Can I use these within-data-set
distances to compare differerent sets of the same types of parts? Ideally,
ecological insights could be derived from these distances.
Rich
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