BKMooney gmail.com> writes:
>
>
> Also, when I tried to use nls, I get an error:
> nls(ypts ~ exp(xpts))
> Error in getInitial.default(func, data, mCall = as.list(match.call(func, :
> no 'getInitial' method found for "function" objects
>
> If someone could please point out what I am doin
This is just (or should be) just a simple example of what I would like to
extend to further regression - which is why I was looking for a resource on
the grammar.
If I try:
lm(ypts ~ exp(xpts)), I only get an intercept and one coefficient. And for
the coefficient, I am not sure where that shou
Brigid Mooney gmail.com> writes:
> I am doing some basic regression analysis, and am getting a bit
> confused on how to enter non-polynomial formulas to be used.
..
> But am confused on what the formula should be for trying to find a fit
> to y = A*exp(r*x).
If this example is just a placeholder
Hi all,
I am doing some basic regression analysis, and am getting a bit
confused on how to enter non-polynomial formulas to be used.
For example, consider that I want to find A and r such that the
formula y = A*exp(r*x) provides the the best fit to the line y=x on
the interval [0,50].
I can set:
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