Taylor Hermes wrote:> I seek help with nonlinear regression for my data. I've run intro
> trouble fitting a model to my data as follows:
>
> rate_parameter stable_population
> 75 1996.1277
> 100 1623.2979
> 125 1362.3475
> 150 1164.6738
> 175 1014.8227
> 200 892.0851
> 225 794.1844
> 250 710.1489
> 275 639.6738
> 300 578.0496
> 325 525.4965
> 350 479.4752
> 375 440.3050
> 400 402.4397
>
> The "rate_parameter" here will be my independent variable which
> affects the "stable_population" quantity in an agent-based
simulation.
>
> I can see that the plot of this data seems to fit an exponential
> decay. I would greatly appreciate if someone could help me out with
> this task. I've found the following info on this page helpful:
> https://stat.ethz.ch/pipermail/r-help/2001-December/017330.html
> yet, still unable to grasp what I need to do.
Is this homework?
Anyway, I'd go with a simple linear model given your data.frame is
called "dat":
lm(log(stable_population) ~ sqrt(rate_parameter), data = dat)
Not sure why you want to apply something nonlinear.
Uwe Ligges
> Thanks!
>
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