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Statistics_OfLoop


Computes basic statistical information out of real numbers appearing in consecutive iterations.

Header:AVL.h

Syntax

C++
C#
 
void avl::Statistics_OfLoop
(
	Statistics_OfLoopState& ioState,
	const float inValue,
	const int inBufferSize,
	const int inOutlierCount,
	const bool inUseSampleFormula,
	atl::Optional<float&> outMean = atl::NIL,
	atl::Optional<float&> outMedian = atl::NIL,
	atl::Optional<float&> outStandardDeviation = atl::NIL,
	atl::Optional<float&> outMinimum = atl::NIL,
	atl::Optional<float&> outMaximum = atl::NIL,
	atl::Optional<float&> outSpread = atl::NIL,
	atl::Optional<float&> outLinearTrend = atl::NIL
)

Parameters

Name Type Range Default Description
ioState Statistics_OfLoopState& Object used to maintain state of the function.
inValue const float Value used to compute statistical informations
inBufferSize const int 1 - + 10 Defines how many numbers are taken into account
inOutlierCount const int 0 - + 0 Defines how many outliers should be removed from the input values
inUseSampleFormula const bool Defines, whether to use population, or sample formulas.
outMean Optional<float&> NIL Mean of the input values
outMedian Optional<float&> NIL Median of the input values
outStandardDeviation Optional<float&> NIL Standard deviation of the input values
outMinimum Optional<float&> NIL Minimum of the input values
outMaximum Optional<float&> NIL Maximum of the input values
outSpread Optional<float&> NIL Difference between maximum and minimum of the input values
outLinearTrend Optional<float&> NIL First parameter of the linear regression function (multiplier)