Hello all:
I would like to test whether there are treatment effects on decomposition
rate, and I would like to inquire about the best, most appropriate means
using R.
I have plant decomposition data that is generally considered to follow an
exponential decay model as follows:
Wt = Wi * exp(-k * t)
Where Wt and Wi are the weights of the plant material at time t and 0,
respectively. k is a constant describing decomposition rate and is usually
reported in the literature.
Is it possible to fit a non-linear model as above and test for effects of
two, independent, treatment factors + the interaction? I have used nls() to
fit the above model for each treatment and approximate k, but I would like
to examine treatment effects on these fits as I might using glm(). If I can
get passed this hurdle, I may also inquire about adding a random effect as
well.
If it helps, I can post a subset of data. Thanks for any help.
-
Justin Montemarano
Graduate Student
Kent State University - Biological Sciences
http://www.montegraphia.com [[alternative HTML version deleted]]
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