Dear Tracy,
You can see if Helene Wagner's mso() in function in vegan satisfies your needs
for analysing spatial dependence. Reference and further description in ?mso.
Cheers, Jari Oksanen
On 02/04/2014, at 00:12 AM, Pinney, Tracy A wrote:
> Hello List,
>
> I have two questions.
>
>
> 1.)
Hi Tracy,
You can try this:
require (vegan)
data(mite)
data(mite.env)
data(mite.xy)
mod<- rda (mite~., data=mite.env)
res<-residuals(mod)
require (spacemakeR)
vario<-variogmultiv(res, mite.xy)
plot(vario$d, vario$var, ty='b',pch=20,xlab="Distance", ylab="C(distance)")
But, I'm not sure. May
Hello Gavin and R-sig-ecology list,
Based on Gavin Simpson's very helpful advice on this forum, I have
been modelling biotic and environmental parameters using a generalized
additive mixed model of the form
mod <- gamm(logit.Area ~ s(DoY, bs = "cc") + s(elapsed.days), data = lldata,
Hello all:
I have some questions regarding the kerneloverlap function within the
adehabitatHR package, and must offer my apologies if they seem rather base:
-I understand that the comparisons between the HR method for kerneloverlap
and MCP overlap are often misleading. Why doesn't this method mak
Besides, one can use (I hope) GNU Octave (free, libre, opensource) to do
it with the original MatLab code, as Octave is compatible with MatLab.
HTH.
Martin
Gavin Simpson píše v Pá 28. 03. 2014 v 20:44 -0600:
> In short, no. I haven't ported the rough code for LOO CV of CCA or
> CCA-PLS models. I
Hello List,
I have two questions.
1.)How do I generate a matrix of residuals in RDA (I am using rda() in
vegan)?
2.)How can I test for spatial dependence (spatial autocorrelation) in the
response matrix of a multivariate analysis (RDA in my case)? I have read that
you can look at th
Dear list members,
I extracted a matrix of predicted values by the pure spatial model (fraction
C in the variation partitioning approach with environmental and spatial
variables [i.e.,Y ~ environmental + spatial]) from a matrix of species
presence/absence as the following example:
require (vegan)
Hi everyone,
I have read that, loadings (from pca) more than .5 are typically
considered strong; loadings between .3 and .5 are acceptable; and loadings
less than .3 are typically considered weak, am I correct?
However, I can't find a credible reference to use. Can you suggest me a
book or a pape
