joecwaddell at gmail.com
Wed Mar 25 21:08:49 CET 2009
I am a biologist (relatively new to R) analyzing data which we predict
to fit a power function. I was wondering if anyone knew a way to model
piecewise functions in R, where across a range of values (0-x) the data
is modeled as a power function, and across another range (x-inf) it is a
linear function. This would be predicted by one of our hypotheses, and
we would like to find the AICs and weights for a piecewise function as
described, compared with a power function across the entire range.
I have looked into the polySpline function, however it appears to use
only polynomials, instead of the nls models I have been using. Thanks
in advance for any help you might be able to offer.
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