Statisticsstd Method (InArraySingle, InArraySingle, Boolean, Int32)

public static RetArray<float> std(
	InArray<float> A,
	InArray<float> Weights = null,
	bool biased = false,
	int dim = -1
)

Public Shared Function std ( 
	A As InArray(Of Single),
	Optional Weights As InArray(Of Single) = Nothing,
	Optional biased As Boolean = false,
	Optional dim As Integer = -1
) As RetArray(Of Single)

Dim A As InArray(Of Single)
Dim Weights As InArray(Of Single)
Dim biased As Boolean
Dim dim As Integer
Dim returnValue As RetArray(Of Single)

returnValue = Statistics.std(A, Weights, 
	biased, dim)

Parameters

A

Type: ILNumericsInArraySingle
Input array.

Weights (Optional)

Type: ILNumericsInArraySingle
Vector of scaling factors, same length as working dimension of A, default: no scaling.

biased (Optional)

Type: SystemBoolean
[Optional] true: apply biased normalization to result, default: false (non-biased).

dim (Optional)

Type: SystemInt32
[Optional] Dimension index of A to operate along, default: first non singleton dimension.

Return Value

On scalar A a scalar 0 of the same shape as A is returned.

On empty A an empty array is returned, having the dimension to operate along reduced to length 1.

The parameters Weights, biased and dim are optional. Ommiting either one will choose its respective default value.

The standard deviation is computed by the formula std = sqrt(var(A,...)). For further details on given parameters, see [M:ILNumerics.Toolboxes.Statistics.var(ILNumerics.InArray{T},ILNumerics.InArray{T},bool,false);].

[ILNumerics Statistics Toolbox]

Reference