Probably you got NAs in some bootstrap results, or you got a 0 variance,
or you hat 0 observations in a group you compared to another group?
Check the data and the separate results!
Uwe Ligges
On 25.04.2012 09:28, O wrote:
Hello,
I am comparing two ROC curves with bootstraping. However, some runs return
"p-value = NA," and I have no clue why.
Is this anyhow related to like sample size or no sufficient numbers of
bootstraping? I used the default value (i.e. boot.n=2000), and the number
of observations are quite big since I am comparing maps (e.g., the largest
has more than 9 million observations).
It'd would be great if someone could explain why this is happening.
With thanks,
OK
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