Hello all,
I would like to run this by everyone and maybe get some hints as to what
R functions I could use for this. Ok, so I have macroinvertebrate
assemblage data from across the SE. I would like to control for
geographic distance (lat/long), Watershed area, and year before
submitting these data to an RDA with the rest of the environmental data
using a variable selection technique.
Does it make sense to detrend the data using a mlm on hellinger
transfomed abundances with the above env variables as regressors and
then submit the residuals to rda with the rest of the env variables I am
interested in?
Many thanks for all of the help.
kindest regards,
--
Stephen Sefick
**************************************************
Auburn University
Biological Sciences
331 Funchess Hall
Auburn, Alabama
36849
**************************************************
sas0...@auburn.edu
http://www.auburn.edu/~sas0025
**************************************************
Let's not spend our time and resources thinking about things that are so
little or so large that all they really do for us is puff us up and make
us feel like gods. We are mammals, and have not exhausted the annoying
little problems of being mammals.
-K. Mullis
"A big computer, a complex algorithm and a long time does not equal
science."
-Robert Gentleman
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