The current rolling average uses a fixed number of data points.
Would it be feasible to add a different mode in which it averages over a settable Δx (for use with nōn-equidistributed data, like real-life network packet traces, where you can have nothing for short time, then bursts)?
Does anyone have any idea whether this is feasible and as to the math behind this? (My school never offered statistics.)
The current rolling average uses a fixed number of data points.
Would it be feasible to add a different mode in which it averages over a settable Δx (for use with nōn-equidistributed data, like real-life network packet traces, where you can have nothing for short time, then bursts)?
Does anyone have any idea whether this is feasible and as to the math behind this? (My school never offered statistics.)