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Showing content from http://accord-framework.net/docs/html/T_Accord_Statistics_Testing_TwoWayAnova.htm below:

TwoWayAnova Class

Two-way Analysis of Variance.

Inheritance Hierarchy

SystemObject
  Accord.Statistics.TestingTwoWayAnova

Namespace:  Accord.Statistics.Testing
Assembly:

Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax
[SerializableAttribute]
public class TwoWayAnova : IAnova
<SerializableAttribute>
Public Class TwoWayAnova
	Implements IAnova
Request Example View Source

The TwoWayAnova type exposes the following members.

Constructors Properties   Name Description FirstFactorSamples

Gets the number of samples presenting the first factor.

ModelType

Gets or sets the type of the model.

Observations

Gets the number of observations in the sample.

Replications

Gets the number of replications of each factor.

SecondFactorSamples

Gets the number of samples presenting the second factor.

Sources

Gets or sets the variation sources obtained in the analysis.

Table

Gets the ANOVA results in the form of a table.

Top Methods   Name Description Equals

Determines whether the specified object is equal to the current object.

(Inherited from Object.) Finalize

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

(Inherited from Object.) GetHashCode

Serves as the default hash function.

(Inherited from Object.) GetType

Gets the Type of the current instance.

(Inherited from Object.) MemberwiseClone

Creates a shallow copy of the current Object.

(Inherited from Object.) ToString

Returns a string that represents the current object.

(Inherited from Object.) Top Extension Methods   Name Description HasMethod

Checks whether an object implements a method with the given name.

(Defined by ExtensionMethods.) IsEqual

Compares 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 Examples


double[,,] 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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