gregor rolshausen <gregor.rolshausen <at> biologie.uni-freiburg.de> writes:
>
> ok. sorry for being blurry.
>
> I have x,y data, that probably fits a asymptotic curve (asymptote at N).
> now I want to fit a curve onto the data, that gives me the N. therefore
> I thought to fit an e-function, namely N(1-e^(y/x)) onto the data and
> get the N from the fitted curves' equation.
> in the course of this, I was looking for a R-function to fit a given
> function to data.
> (I believe there is some implementation in MatLab for this kind of
> question, anyhow, I wanted to look in R as well...)
>
> I am not an expert, so excuse my misuse of terms. I hope my problem
> graspable...?
>
Perhaps you mean
y = N*(1-exp(-x/a))
assuming x is the predictor and y the response variable.
(This further assumes that the errors are independent,
normally distributed [if you want to make inferences
on the parameters etc.], etc..)
Check out ?nls (for "nonlinear least squares").
good luck,
Ben Bolker
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