Mitra
You have a couple of problems. First, if you plot the data (plot(A~Pot))
you'll see there's little chance that an asymptotic, exponential
equation describes your data because they don't rise from zero to Amax
as your model assumes. If Pot is your only independent variable, the
best model
Hello,
I am trying to do a nonlinear model using the "nls" command in R software.
The data I am using is as follows:
A<-c(7.132000,8.668667,9.880667,8.168000,10.86,10.381333,11.059333,7.589333,4.716667,4.268667,7.265333,10.309333,8.456667,13.359333,8.624000,13.571333,12.52,4.084667
,NaN,Na
Dear R List-Members,
I wish to find the nonlinear least squares of function defined by an
integral which must be
evaluated numerically.
Is that possible to implement in R?
If it is possible, which problems I need to consider first?
Many Thanks,
Dejan
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