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moving average (with associated time span).

The 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.

central moving average (with associated time span).

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• 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.

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.

accumulation interval (with associated time span or time step).

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gaussian curve (with associated samples).

Central moving average

Schemas for the slider

movingAccumulationTimeSpan

Time spans that the user selects from by using the slider.

timeStep

Time steps that the user selects by using the slider.

samples

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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.Number of samples that the user selects by using the slider.
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Descriptive Function Group

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