UnivariateShapiroFranciaTest Method

Performs a Shapiro-Francia test of normality on the sample.

Definition

Namespace: Meta.Numerics.Statistics
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.2.0+6d77d64445f7d5d91b12e331399c4362ecb25333

C#

public static TestResult ShapiroFranciaTest(
	this IReadOnlyList<double> sample
)

VB

<ExtensionAttribute>
Public Shared Function ShapiroFranciaTest ( 
	sample As IReadOnlyList(Of Double)
) As TestResult

C++

public:
[ExtensionAttribute]
static TestResult^ ShapiroFranciaTest(
	IReadOnlyList<double>^ sample
)

F#

[<ExtensionAttribute>]
static member ShapiroFranciaTest : 
        sample : IReadOnlyList<float> -> TestResult

Parameters

sample IReadOnlyListDouble: The sample to test for normality.

Return Value

TestResult
The result of the test.

Usage Note

In Visual Basic and C#, you can call this method as an instance method on any object of type IReadOnlyListDouble. When you use instance method syntax to call this method, omit the first parameter. For more information, see Extension Methods (Visual Basic) or Extension Methods (C# Programming Guide).

Remarks

Our current implementation requires the sample to contain at least 16 values. While the Shapiro-Francia test is perfectly well-defined for smaller samples, the parameterization of the null distribution for such small samples requires special handling that we have not yet coded.

Exceptions

ArgumentNullException	sample is .
InsufficientDataException	There are fewer than 16 values in the sample.