Two-way Analysis of Variance.
Inheritance HierarchySystemObject
Accord.Statistics.TestingTwoWayAnova
Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax[SerializableAttribute] public class TwoWayAnova : IAnova
<SerializableAttribute> Public Class TwoWayAnova Implements IAnovaRequest Example View Source
The TwoWayAnova type exposes the following members.
Constructors Properties Name Description FirstFactorSamplesGets the number of samples presenting the first factor.
ModelTypeGets or sets the type of the model.
ObservationsGets the number of observations in the sample.
ReplicationsGets the number of replications of each factor.
SecondFactorSamplesGets the number of samples presenting the second factor.
SourcesGets or sets the variation sources obtained in the analysis.
TableGets the ANOVA results in the form of a table.
Top Methods Name Description EqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object.) FinalizeAllows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.) GetHashCodeServes as the default hash function.
(Inherited from Object.) GetTypeGets the Type of the current instance.
(Inherited from Object.) MemberwiseCloneCreates a shallow copy of the current Object.
(Inherited from Object.) ToStringReturns a string that represents the current object.
(Inherited from Object.) Top Extension Methods Name Description HasMethodChecks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) IsEqualCompares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.) To(Type) Overloaded.Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) ToT Overloaded.Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) Top Remarks Examplesdouble[,,] samples = { { { 106, 110 }, { 95, 100 }, { 94, 107 }, { 103, 104 }, { 100, 102 } }, { { 110, 112 }, { 98, 99 }, { 100, 101 }, { 108, 112 }, { 105, 107 } }, { { 94, 97 }, { 86, 87 }, { 98, 99 }, { 99, 101 }, { 94, 98 } }, }; var twoWayAnova = new TwoWayAnova(samples, TwoWayAnovaModel.Mixed); TwoWayAnovaVariationSources sources = twoWayAnova.Sources; double seedSS = sources.FactorA.SumOfSquares; double seedDF = sources.FactorA.DegreesOfFreedom; double seedMS = sources.FactorA.MeanSquares; double seedF = sources.FactorA.Statistic.Value; double seedPValue = sources.FactorA.Significance.PValue; double seedCrit = sources.FactorA.Significance.CriticalValue; bool seedSignificant = sources.FactorA.Significance.Significant; double fertilizerSS = sources.FactorB.SumOfSquares; double fertilizerDF = sources.FactorB.DegreesOfFreedom; double fertilizerMS = sources.FactorB.MeanSquares; double fertilizerF = sources.FactorB.Statistic.Value; double fertilizerPValue = sources.FactorB.Significance.PValue; double fertilizerCrit = sources.FactorB.Significance.CriticalValue; bool fertilizerSignificant = sources.FactorB.Significance.Significant; double interactionSS = sources.Interaction.SumOfSquares; double interactionDF = sources.Interaction.DegreesOfFreedom; double interactionMS = sources.Interaction.MeanSquares; double interactionF = sources.Interaction.Statistic.Value; double interactionPValue = sources.Interaction.Significance.PValue; double interactionCrit = sources.Interaction.Significance.CriticalValue; bool interactionSignificant = sources.Interaction.Significance.Significant; double withinSS = sources.Error.SumOfSquares; double withinDF = sources.Error.DegreesOfFreedom; double withinMS = sources.Error.MeanSquares;See Also
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