On Saturday, October 15, 2016 at 5:07:19 PM UTC+10, Mathias Herberts wrote:
> An approach with a time window does not work for computing time weighted
> average as you may have windows with no chainges at all or a change after the
> beginning of the window and in those two cases you will not have access to
> the actual value of your sensor during the whole or part of the time window.
> Your best option so far is probably to fill the data with the previous value
> with a regularized series (regular ticks) and then compute the average on
> this transformed series. The computed value for first and last window will be
> incorrect but that can be mitigated by increasing your time range.
Yes, for the first datapoint calculation you have to check the previous
datapoint just before the start of the time window (or use the same value as
the first point in the time window as approximation if there is no previous
value). If there is no changes in the time window then using the previous value
outside the time window is your average.
Remember to include the version number!
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