rolling-mean
Input Stack:| minNumValues: Int | | n: Int | | TimeSeriesExpr |
|
⇨ |
Output Stack: |
Mean of the values within a specified window. The mean will only be emitted
if there are at least a minimum number of actual values (not NaN) within
the window. Otherwise NaN will be emitted for that time period.
| Input |
3,2,:rolling-mean |
| 0 |
NaN |
| 1 |
0.5 |
| -1 |
0.0 |
| NaN |
0.0 |
| NaN |
NaN |
| 0 |
NaN |
| 1 |
0.5 |
| 1 |
0.667 |
| 1 |
1 |
| 0 |
0.667 |
The window size, n, is the number of datapoints to consider including the current
value. There must be at least minNumValues non-NaN values within that window before
it will emit a mean. Note that it is based on datapoints, not a specific amount of time.
As a result the number of occurrences will be reduced when transitioning to a larger time
frame that causes consolidation.
Since: 1.6
