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KruskalWallisTest Class

Class KruskalWallisTest performs a Kruskal-Wallis rank sum test.
Inheritance Hierarchy
SystemObject
  CenterSpace.NMath.CoreKruskalWallisTest

Namespace:  CenterSpace.NMath.Core
Assembly:  NMath (in NMath.dll) Version: 7.3
Syntax
[SerializableAttribute]
public class KruskalWallisTest : ICloneable

The KruskalWallisTest type exposes the following members.

Constructors
  NameDescription
Public methodKruskalWallisTest
Default constructor. Constructs an empty KruskalWallisTest instance.
Public methodKruskalWallisTest(DoubleMatrix)
Constructs a KruskalWallisTest instance from data in the given matrix.
Public methodKruskalWallisTest(DoubleVector)
Constructs a KruskalWallisTest instance from data in the given array of vectors.
Public methodKruskalWallisTest(DoubleMatrix, Boolean)
Constructs a KruskalWallisTest instance from data in the given matrix.
Public methodKruskalWallisTest(DoubleVector, Boolean)
Constructs a KruskalWallisTest instance from data in the given array of vectors.
Public methodKruskalWallisTest(DataFrame, Int32, Int32)
Construct a KruskalWallisTest instance from data in the given data frame.
Public methodKruskalWallisTest(DataFrame, Int32, Int32, Boolean)
Construct a KruskalWallisTest instance from data in the given data frame.
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Properties
  NameDescription
Public propertyGrandMeanRank
Gets the grand mean rank of the data.
Public propertyGroupMeanRanks
Gets a vector of group mean ranks.
Public propertyGroupNames
Gets an array of group names.
Public propertyGroupSizes
Gets an array of group sizes.
Public propertyIsTieCorrected
Returns true if the standard correction for ties was applied in the computation of the test statistic.
Public propertyN
Gets the total sample size.
Public propertyPValue
Gets the p-value for the test statistic.
Public propertyRanks
Gets an array of vectors containing the ranks of the data.
Public propertyStatistic
Gets the test statistic.
Public propertyTable
Gets a table summarizing the result of the last-performed Kruskal-Wallis test.
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Methods
  NameDescription
Public methodClone
Creates a deep copy of this KruskalWallisTest.
Public methodGetGroupMeanRank(Int32)
Returns the mean rank for the specified group.
Public methodGetGroupMeanRank(Object)
Returns the mean rank for the specified group.
Public methodGetGroupRanks(Int32)
Returns the ranks for the specified group.
Public methodGetGroupRanks(Object)
Returns the ranks for the specified group.
Public methodGetGroupSize(Int32)
Returns the size of the specified group.
Public methodGetGroupSize(Object)
Returns the size of the specified group.
Public methodSetData(DoubleMatrix)
Performs a Kruskal-Wallis test on data in the given matrix.
Public methodSetData(DoubleVector)
Performs a Kruskal-Wallis test on data in the given array of vectors.
Public methodSetData(DoubleMatrix, Boolean)
Performs a Kruskal-Wallis test on data in the given matrix.
Public methodSetData(DoubleVector, Boolean)
Performs a Kruskal-Wallis test on data in the given array of vectors.
Public methodSetData(DataFrame, Int32, Int32)
Performs a Kruskal-Wallis test on data in the given data frame.
Public methodSetData(DataFrame, Int32, Int32, Boolean)
Performs a Kruskal-Wallis test on data in the given data frame.
Public methodStatisticCriticalValue
Computes the critical value for the test statistic at the given significance level.
Public methodToString
String representation of a Kruskal-Wallis test.
(Overrides ObjectToString.)
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Remarks
The Kruskal-Wallis test is a non-parametric test for equality of population medians among groups. It is a non-parametric version of the classical one-way ANOVA.
See Also