This is probably going to sound trivial, as I am new to Mathematica and still busy reading the Getting Started materials.
I have a series of observations:
[(duration, speed sustained for duration), ...]
Due to the nature of the context in which these observations are made, I am confident these observations can be well fitted to a curve of this kind:
It looks like a logistic function or some kind of sigmoid curve.
But, it's not symmetrical. The first plateau could potentially be longer or shorter. The middle "descent" could more or less sharp and extend over a wider or narrower range of durations. Finally, the low plateau to the right could also be shorter or longer.
How can I use Mathematica to find the sigmoid curve that best fit my data?
My first attempts were in Mathematical Online, but it gives me quite a few errors when I try to use FindFit, NonlinearModelFit, etc.
Sometimes, I'll have very few points, sometimes I'll have more points to work with. Here is an example with only 4 points: (58.41, 325), (174.17, 311), (377.06, 294), (691.51, 281)
Any hints appreciated...