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FIS.Statistics_OfLoop Method
Computes basic statistical information out of real numbers appearing in consecutive iterations.
| Namespace: | FilNet |
|---|---|
| Assembly: | FIL.NET.dll |
Syntax
public static void Statistics_OfLoop ( FilNet.Statistics_OfLoopState ioState, float inValue, int inBufferSize, int inOutlierCount, bool inUseSampleFormula, NullableValue<float> outMean, NullableValue<float> outMedian, NullableValue<float> outStandardDeviation, NullableValue<float> outMinimum, NullableValue<float> outMaximum, NullableValue<float> outSpread, NullableValue<float> outLinearTrend )
Parameters
| Name | Type | Range | Default | Description | |
|---|---|---|---|---|---|
| ioState | FilNet.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 | FilNet.NullableValue<float> | Mean of the input values. Can be null to skip this parameter calculation. | ||
| outMedian | FilNet.NullableValue<float> | Median of the input values. Can be null to skip this parameter calculation. | ||
| outStandardDeviation | FilNet.NullableValue<float> | Standard deviation of the input values. Can be null to skip this parameter calculation. | ||
| outMinimum | FilNet.NullableValue<float> | Minimum of the input values. Can be null to skip this parameter calculation. | ||
| outMaximum | FilNet.NullableValue<float> | Maximum of the input values. Can be null to skip this parameter calculation. | ||
| outSpread | FilNet.NullableValue<float> | Difference between maximum and minimum of the input values. Can be null to skip this parameter calculation. | ||
| outLinearTrend | FilNet.NullableValue<float> | First parameter of the linear regression function (multiplier). Can be null to skip this parameter calculation. |
