Lindsay Banin wrote:
Hi there,
I am trying to compare nonlinear least squares regression with AIC and anova.
The simplest model is one nonlinear curve, and in the more complex model I have
a categorical variable (producing parameter estimates for four curves).
Both models run fine, but when I try to produce an AIC value for the second
model I get the error:
AIC(pow.nls1)
[1] 114408.3
AIC(pow.nls2)
Error in 1:p : NA/NaN argument
Well, without model specification and data it is impossible for us to
know why exactly the AIC cannot be calculated.
Uwe Ligges
And similarly, when I try to compare the models with ANOVA, I get:
anova(pow.nls1, pow.nls2)
Error in if (df[i] 0) { : missing value where TRUE/FALSE needed
It seemed as if this could be a problem with the dataset, but I have checked
thoroughly and there are no missing values etc.
What do these error messages actually indicate?
Many thanks in advance!
Lindsay
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