The question seems too general for me to offer specific suggestions.
What problem are you trying to solve that you think 'multiple
comparisons' will answer?
Can you produce a similar problem that is completely self-contained
example that eliminates complexity that may not be needed to understand
your question (similar to the 'Auxiliary Problem' technique in "How to
Solve It", http://en.wikipedia.org/wiki/How_to_Solve_It)? If you can, it
may lead you to a solution. If you get such an example but still can't
see a solution, send that example to this list (following the advice in
the posting guide http://www.R-project.org/posting-guide.html). The
simpler the example, the more likely someone on this list will reply
quickly with a useful suggestion.
I know this doesn't solve your problem, but I hope it helps.
Spencer
J S wrote:
Dear R community,
I have a nonlinear model describing average daily soil temperature. What test should I use to compare differences in soil temperature of the two studied vegetation types depending upon month?
Building linear contrasts for the developed nonlinear model does not help since this model does not include variable “Months” (only “Days”).
1) Just a Student’s test is not probably an option because I would violate an assumption of independency, since the daily soil temperature observations have high autocorrelation. Or maybe I could average the observations for each month and then use this test since I have observations for a few years, and it might overcome the problem of independency?
2) Should I develop a second nonlinear model with months instead of days, but it would considerably increase a number of parameters in the model...
Or:
3) ?
Thanks for your help,
Julia
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