t all possible. Does anyone have any suggestions?
Thank you for your time.
Sincerely,
Jacob Cram
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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,
time)Fx1` entries in the `summary(mod$lme)` table refer
> to the basis functions that represent the spline or at least to some
> part of those basis functions. You can't really make much practical
> use out of those values are they relate specifically to way the
> penalised regressi
h years
> worth of time points), you can separate DoY from the other terms.
>
> None of the above code has been tested, but was written off top of my
> head, but should work or at least get you pretty close to something
> that works.
>
> HTH
>
> G
>
> On 26 March 2
ply.
>
> A recent ecological paper describing a similar approach (though using
> different package in R) is that of Claire Ferguson and colleagues in J
> Applied Ecology (2008) http://doi.org/10./j.1365-2664.2007.01428.x
> (freely available).
>
> HTH
>
> G
>
> On 25 Mar
Hello all,
I am thinking about applying season::cosinor() analysis to some
irregularely spaced time series data. The data are unevenly spaced, so
usual time series methods, as well as the nscosinor() function are out. My
data do however trend over time and I am wondering if I can feed date as
On Sun, Aug 18, 2013 at 2:19 PM, Krzysztof Sakrejda <
krzysztof.sakre...@gmail.com> wrote:
> Hi Jacob, comments below.
>
> On Aug 18, 2013 2:31 PM, "Jacob Cram" wrote:
> >
> > Dear List,
> > I have an environmental data set with several missing
Dear List,
I have an environmental data set with several missing values that I
am trying to relate to a community structure data set using a mantel
test. One solution to the missing data problem seems to be multiple
imputation; I am using the Amelia package. This generates several (five in
Ecology 85:834846.
Schaffers AP, Raemakers IP, Sýkora KV, Braak CJF ter. (2008). Arthropod
Assemblages Are Best Predicted by Plant Species Composition. Ecology
89:782794.
Thanks everyone for your consideration in this matter.
Sincerely,
Jacob Cram
Graduate Student
Departm
