On 26/03/11 17:35 PM, Manuel Spínola mspinol...@gmail.com wrote:
Dear list members,
I got an error message working with RaupCrick distance in metaMDS.
flora.mds = metaMDS(indicadora, distance = raup, trace = FALSE, zerodist
= ignore)
Error in isoMDS(dist, k = k, trace = isotrace) :
Thank you very much Jari.
Is the Raup--Crick dissimilarity metric the only option for a
presence/absence data in vegdist or using binary = T could I use any
other dissimilarity metric?
Best,
Manuel
On 27/03/2011 09:07 a.m., Jari Oksanen wrote:
On 26/03/11 17:35 PM, Manuel
On Fri, 2011-03-18 at 14:14 +0100, Sacha Viquerat wrote:
hello! I did a count survey on a tropical fish species! Well, I didnt do
it, Im just helping at the statistics-stage. We recorded some water
parameters alogside each catch, such as no3, no2, po4 etc. as the data
are count data (and
On Sun, 2011-03-27 at 20:18 +0100, Gavin Simpson wrote:
snip /
I think you are confusing the error structure with the model or
systematic structure? Yes, Poisson errors are expected with count
abundance data, or if there is more dispersion than expected under the
Poisson, then a negative
Dear All,
I am running very simple logistic regression in R using generalized linear
models (glm) where I am trying to find the best structural size predictor of
gender in birds. When I run this analysis in R I receive AIC values, which is
good since I am using AIC model selection in this
