Package 'compositions': Interpreting dist() output

Rich,




Distances can be interpreted as degrees of similarity. In your dataset, it means that the observation in 2004 is more similar to 2011 than 2013. You can visualize distances using distance-based clustering (http://www.statmethods.net/advstats/cluster.html) or multidimentional scaling (http://www.statmethods.net/advstats/mds.html).




--

Essi






De : Rich Shepard
Envoy? : ?lundi?, ?13? ?octobre? ?2014 ?17?:?34
? : <r-sig-ecology at r-project.org>

         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

Spacing was not correct on the above; this should be better:

           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

Rich

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