If I were really interested in these coefficients, and I offer this advice
without having thought if the coefficients are useful or not, I would just
bootstrap them and derive their standard errors that way.

Doing that should be pretty easy with the boot package and your own
function to go through the analysis steps on subsets of the data.

HTH

G


On 8 May 2014 11:52, Rafter <liberationecology@gmail.com> wrote:

> I should add that I'm not averse to digging around in adonis if necessary.
> I
> modified adonis to call daisy (which accepts mixed data) instead of vegdist
> (which doesn't) so that I could fit these models with predictor
> coefficients
> in the first place.
>
>
>
> --
> View this message in context:
> http://r-sig-ecology.471788.n2.nabble.com/calculating-standard-error-of-coefficients-from-adonis-model-tp7578878p7578879.html
> Sent from the r-sig-ecology mailing list archive at Nabble.com.
>
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-- 

Gavin Simpson, PhD

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