MannWhitneyWilcoxonTest Constructor

public MannWhitneyWilcoxonTest(
	double[] sample1,
	double[] sample2,
	TwoSampleHypothesis alternate = TwoSampleHypothesis.ValuesAreDifferent,
	Nullable<bool> exact = null,
	bool adjustForTies = true
)

Public Sub New ( 
	sample1 As Double(),
	sample2 As Double(),
	Optional alternate As TwoSampleHypothesis = TwoSampleHypothesis.ValuesAreDifferent,
	Optional exact As Nullable(Of Boolean) = Nothing,
	Optional adjustForTies As Boolean = true
)

Parameters

sample1

Type:System.Double[]
The first sample.

sample2

Type:System.Double[]
The second sample.

alternate (Optional)

Type: Accord.Statistics.Testing.TwoSampleHypothesis
The alternative hypothesis (research hypothesis) to test.

exact (Optional)

Type: System.Nullable<Boolean>
True to compute the exact distribution. May require a significant amount of processing power for large samples (n > 12). If left at null, whether to compute the exact or approximate distribution will depend on the number of samples. Default is null.

adjustForTies (Optional)

Type: System.Boolean
Whether to account for ties when computing the rank statistics or not. Default is true.

Reference