Some people would use -nl- here, but assuming that you can scale values
to values / maximum, you can still use a logit link, or linear
regression on a logit transformed variable. The only obvious problem is
if the bounds are attained, because logit(0) and logit(1) are
indeterminate.
There are some related comments in
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
which explains how to plot continuous responses on a logit scale.
Nick
[email protected]
Sven Wiese
I have a twodimensional dataset of two continious variables and want to
fit a regression to the data, but I want the outcome to be an s-Curve
(or logistic curve). I think it might be like fitting a polynomial to
the data, but as mentioned I want to fit an s-curve, which can be
expressed by the exponential function.
I am aware of the logistic regression, the difference is, that my
dependant variable is not binary.
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