I just want to make sure I understand the example in the
vegan package. Per the summary table on page 2 of this document, can I say that the first two axes of the DCA explained 51.2% and 30.3% of the total variation in the community composition?
> ord Call: decorana(veg = dune) Detrended correspondence analysis with 26 segments. Rescaling of axes with 4 iterations. DCA1 DCA2 DCA3 DCA4 Eigenvalues 0.5117 0.3036 0.12125 0.14267 Decorana values 0.5360 0.2869 0.08136 0.04814 Axis lengths 3.7004 3.1166 1.30055 1.47888
This RDocumentation link mentioned that
decorana() returns "proper eigenvalues" so I thought I can use the eigenvalues straight from the summary table.