remove outliers form timeseries

I have an original timeseries ts and I would like to apply a filter for removing the outliers. In particular I define a percentile criteria for filtering the original ts:

[B,TF]=rmoutliers(ts.Data,'percentiles',[5 95]);

Such operation returns two objects: a filtered ts.Data, that is B, and the logical vector Tf in which if the element is outlier the corresponding element is equal to 1, otherwise is equal to 0.

Now my question is:

how to build a timeseries with the filtered data B and the corresponding datetime vectors?

Answer 1

[Daniel M]

If timevector is the name of your datetime vector, then you can mask out the outliers using

timevector_good = timevector(~TF); % this is the "good" data points

[Adam Danz]

You can use the TF logical vector to identify non-outlier indices.

ts.Data(~TF)
dateTimeVector(~TF)

My answer moved here as a comment to supplement Daniel's answer.