Extracting a column of data from a time series

Does anybody have any ideas as to how to split up the time and variable1 columns of a time series so that the variable1 data can be handled independently of the time?

I have created the two time series so that I could use the resample function to make sure the data in time series 1 is taken at the same time as the data in time series 2.

If it is not possible to extract just the variable1 column, does anyone know how to interpolate a column of data so that it contains measurements at the same times as another set of data, where the time is not evenly sampled and the data consist of a very high number of measurements?

One final query: does anybody know whether it is possible to find the gradient of a timeseries?

[José-Luis]

 doc diff -> gradient
 doc interp1 -> resample

Answer 1

[Kurt Stewart]

If you made a time series named 'position' for instance you can extract the data by doing: position_vector=position.Data;

[Jaydip Davara]

What if I have 2 columns (i.e. Position1 and Position2). How can I access Position1 or Position2 independently?

PS: I tried position.Data:1

position.Data:2 but that didn't work. Let me know if you can help.

[Kurt Stewart]

Position1=position.Data(:,1)

Position2=position.Data(:,2)

[Amit Tiwari]

In continuation with Kurt Stewart's answer. If you want the time as a separate column, use

time = position.Time;