...
- calendar aggregation (with associated time step).
- relative aggregation (with associated time span).
- duration exceedence (i.e. sorted descending).
- duration non-exceedence (i.e. sorted ascending).
- moving average (with associated time span).
- central moving average (with associated time span).
- accumulation interval (with associated time span or time step).
- frequency distribution (with associated samples).
- gaussian curve (with associated samples).
Time span schema
Time step schema
Samples schema
movingAccumulationTimeSpan
...
- function: always central_moving_average.
- ignoreMissings: when true, missing values are ignored and each average will be calculated from the available values within the current time window.
When false, calculated values will be set to missing if one or more values within the current time window are missing.
movingAccumulationTimeSpan
Time spans that the user selects from using the slider.
Schemas for the slider
...
Time span schema
...
...
Time step schema
...
...
Samples schema
...
Remarks
The (central) moving average function only works for true equidistant data (i.e. no daysOfMonths etc.)
The difference between moving average and central moving average is that the central moving average uses values before and after the current value to calculate the average. Moving average only uses values in the past.
...