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2011 Sep 12
5
completing missing samples
Hello,
I have a time-series that has some missing samples.
I was thinking on completing them using either zero-order hold or linear
interpolation.
I am looking for an efiicient way (other than a loop...) of identifiying the
missing time slots and filling them.
Can you think of any methods that might help here? (obviously
which(diff(time)>min(diff(time))) will give the locations, but what
then....?)
Thanks,
Eran.
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