[R] Error in 1:p : NA/NaN argument when running model comparisons

[Uwe Ligges]

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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