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AVL.Statistics_OfLoop
Computes basic statistical information out of real numbers appearing in consecutive iterations.
| Namespace: | AvlNet |
|---|---|
| Assembly: | AVL.NET.dll |
Syntax
C++
C#
public static void Statistics_OfLoop ( ref AvlNet.Statistics_OfLoopState ioState, float inValue, int inBufferSize, int inOutlierCount, bool inUseSampleFormula, out float outMean, out float outMedian, out float outStandardDeviation, out float outMinimum, out float outMaximum, out float outSpread, out float outLinearTrend )
Parameters
| Name | Type | Range | Default | Description | |
|---|---|---|---|---|---|
| ioState | AvlNet.Statistics_OfLoopState | Stores information from previous iterations. | |||
 | inValue | float | Value used to compute statistical informations. | ||
| inBufferSize | int | <1, +INF> | 10 | Defines how many numbers are taken into account. Default value: 10. |
| inOutlierCount | int | <0, +INF> | 0 | Defines how many outliers should be removed from the input values. Default value: 0. |
| inUseSampleFormula | bool | Defines, whether to use population, or sample formulas. | ||
 | outMean | float | Mean of the input values | ||
| outMedian | float | Median of the input values | ||
| outStandardDeviation | float | Standard deviation of the input values | ||
| outMinimum | float | Minimum of the input values | ||
| outMaximum | float | Maximum of the input values | ||
| outSpread | float | Difference between maximum and minimum of the input values | ||
| outLinearTrend | float | First parameter of the linear regression function (multiplier) |
