Replace missing time steps in dataset
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I have a dataset with hourly measured data from 2013 to 2019. Some values are missing but not appearing in my dataset, and I want to include these values as NaN.
I have created a "true" time series:
t1 = datenum(2013,10,1,0,0,0);
t2 = datenum(2019,10,1,0,0,0);
t = t1:(1/1440):t2;
And I also have the date number matrix,x, of my measurements, containing fewer elements. How can I fill in measured data in my new time series, and NaN where I dont have measurements?
I now have