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st: RE: RE: RE: RE: effect size in nonlinear regression
From
Nick Cox <[email protected]>
To
"'[email protected]'" <[email protected]>
Subject
st: RE: RE: RE: RE: effect size in nonlinear regression
Date
Tue, 16 Nov 2010 18:29:59 +0000
It looks as if your curves are asymptotic to lower and upper limits. If so, plotting curves on a logit scale, i.e. logit((value - lower) / (upper - lower)), will probably straighten curves, regardless of the metric in which you measure or fit. See also
SJ-8-1 gr0032 . . . . . . . Stata tip 59: Plotting on any transformed scale
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. J. Cox
Q1/08 SJ 8(1):142--145 (no commands)
tip on how to graph data on a transformed scale
for more on logit scale in graphs.
Nick
[email protected]
Airey, David C
I agree about the graphs. Good point on the awkward choice of parameter symbols! :)
I'll just choose reasonable constant spread and differing parameter values and look at resulting power.
> Very small but possibly not minor detail: it depends on your audience, but e as a parameter suggests to many exp(1) ~ 2.71828, so that some other symbol may be advisable.
>
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