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:
I apologize that this seems to be a half function-specific, half stats
question. My stats knowledge is basic in terms of working with formulae, but
pretty decent conceptually.
I'm conducting a set of multivariate analyses using adonis.
Predictor variables are mixed continuous and categorical.
?Have some tricky data on nectar properties. I'm trying to analyze whether
treatment (1-4) impacted the volume of nectar in flowers. The data is nested
for individual plant (but not individual flower). The nectar data is over 54%
zeros, is over-dispersed. Could use advice on what statistical
Rafter,
I am not Gavin, but I step in and speak for him.
Gavin quite clearly suggested that you bootstrap adonis. The boot package is
intended to generate bootstrap samples and to estimate the bootstrap confidence
limits for *any* function. The boot package does not contain those functions,
Hi everyone, could anybody help me with the code to make a MANOVA with a
split-plot design (any help will be very welcomed). The design was as
follows:
-there were three blocks, every block was divided in to three treatments,
and in every treatment there were different species. I'm thinking
