Hi everyone.
I have a non-linear model specified as this (6 variables, a0, S, K, p0, p1, p2):
fit <- nlsLM(formula = dat ~ a0 * exp(-S*(x - 250)) + K + ( C ) )
where C = (p0*exp(-0.5*((x-p1)/p2)^2))
The problem is that I do not know in advance how many component (C) I will have
in the model. That means It could be:
nlsLM(formula = dat ~ a0 * exp(-S*(x - 250)) + K + (
(p0*exp(-0.5*((x-p1)/p2)^2)) ) )
or
nlsLM(formula = dat ~ a0 * exp(-S*(x - 250)) + K + (
(p0*exp(-0.5*((x-p1)/p2)^2)) ) + ( (p0b*exp(-0.5*((x-p1b)/p2b)^2)) ))
or
nlsLM(formula = dat ~ a0 * exp(-S*(x - 250)) + K + (
(p0*exp(-0.5*((x-p1)/p2)^2)) ) + ( (p0b*exp(-0.5*((x-p1b)/p2b)^2)) + (
(p0c*exp(-0.5*((x-p1c)/p2c)^2))))
So I was wondering if it was possible to dynamically build the formula that I
will use in my model? The first part of my model will always be "a0 * exp(-S*(x
- 250)) + K", I just want to add a certain number of "components" dynamically.
I guess it will be related with "reformulate()" but I can't not find how to
make it works.
Thank you for your help,
Philippe
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