TwoWayRanova Class

Class TwoWayRanova performs a balanced two-way analysis of variance with repeated measures on one factor.

Inheritance Hierarchy

SystemObject
  CenterSpace.NMath.CoreTwoWayAnovaBase
    CenterSpace.NMath.CoreTwoWayAnova
      CenterSpace.NMath.CoreTwoWayRanova

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4

Syntax

C++

Copy

[SerializableAttribute]
public class TwoWayRanova : TwoWayAnova, 
	ICloneable

<SerializableAttribute>
Public Class TwoWayRanova
	Inherits TwoWayAnova
	Implements ICloneable

[SerializableAttribute]
public ref class TwoWayRanova : public TwoWayAnova, 
	ICloneable

[<SerializableAttribute>]
type TwoWayRanova = 
    class
        inherit TwoWayAnova
        interface ICloneable
    end

The TwoWayRanova type exposes the following members.

Constructors

	Name	Description
	TwoWayRanova	No argument contructor. Used primarily for serialization.
	TwoWayRanova(DataFrame, Int32, Int32, Int32)	Constructs a TwoWayRanova instance, with repeated measures on one factor, from the given data frame.

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Properties

	Name	Description
	AnovaTable	Gets a traditional two-way ANOVA table. (Inherited from TwoWayAnova)
	GrandMean	Gets the grand mean. (Inherited from TwoWayAnova)
	RanovaTable	Gets a traditional two-way RANOVA table.
	RegressionFactorParameters	Gets the array of estimates for the linear regression parameters corresponding to the dummy variables for the different factor levels. (Inherited from TwoWayAnova)
	RegressionInteractionParameters	Gets the array of estimates for the linear regression parameters corresponding to the dummy variables for the interactions. (Inherited from TwoWayAnova)
	RegressionInterceptParameter	Gets the intercept parameter from the linear regression that was used to compute the ANOVA. (Inherited from TwoWayAnova)
	RegressionSubjectParameters	Gets the array of estimates for the linear regression parameters corresponding to the dummy variables for the different subjects.

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Methods

	Name	Description
	Clone	Creates a deep copy of this TwoWayRanova. (Overrides TwoWayAnovaClone)
	ComputeAnova	Compute the ANOVA for the given data. (Inherited from TwoWayAnova)
	ComputeFactorSumsOfSquares	Fill in the DoubleVector parameterSumsOfSquares_ with the sums of squares for the parameters used in the regression that is used to compute the ANOVA. (Inherited from TwoWayAnova)
	ComputeFactorSumsOfSquares(DoubleMatrix)	Fill in the DoubleVector parameterSumsOfSquares_ with the sums of squares for the parameters used in the regression that is used to compute the ANOVA. (Inherited from TwoWayAnovaBase)
	ComputeFactorSumsOfSquares(LinearRegression, Int32, Int32, Int32)	Fill in the DoubleVector parameterSumsOfSquares_ with the sums of squares for the parameters used in the regression that is used to compute the ANOVA. (Inherited from TwoWayAnovaBase)
	CreateAnovaTable	Create the ANOVA table for this object. (Overrides TwoWayAnovaCreateAnovaTable)
	FillInRegressionMatrix	Fills in the regression matrix and observation vector used in computing the ANOVA. (Overrides TwoWayAnovaFillInRegressionMatrix(DataFrame, Int32, Int32, Int32))
	FillInSubjectMatrix	Fills in a matrix with the values of subject dummy variables used as a part of the regression matrix for the regression that is used to compute the RANOVA. This subject matrix will have ones on the main diagonal up to, but not including the last row. The last row will be all -1. All other elements are zero. This corresponds to the following encoding of the subject dummy variables: If there are n subjects and the ith value of the dummy variable is denoted by Si, then Si = 1, if person i and i is strictly less than n Si = -1, if person n Si = 0, otherwise.
	GetCellData	Returns all the data in a cell, as defined by the levels of the two factors in the ANOVA. (Inherited from TwoWayAnovaBase)
	GetMeanForCell	Returns the mean for the specified cell, as defined by the levels of the two factors in the ANOVA. (Inherited from TwoWayAnovaBase)
	GetMeanForFactorLevel	Returns the mean for the specified factor level. (Inherited from TwoWayAnovaBase)
	GetRegressionFactorParameter	Returns the regression parameter associated with the specified factor level. (Inherited from TwoWayAnova)
	GetRegressionFactorParameters	Fills in the array of AnovaRegressionFactorParam objects. (Overrides TwoWayAnovaGetRegressionFactorParameters)
	GetRegressionInteractionParameter	Returns the regression parameter associated with the specified interaction. (Inherited from TwoWayAnova)
	GetRegressionInteractionParameters	Fill in the array of AnovaRegressionInteractionParam objects. (Overrides TwoWayAnovaGetRegressionInteractionParameters)
	InterceptParameterSumOfSquares	Compte the sum of squares associated with the regression's intercept parameter. (Inherited from TwoWayAnovaBase)
	MakeCellData	Fills in the cell data for a two way ANOVA from the given data frame and column information. (Inherited from TwoWayAnovaBase)
	MakeFactorParameters(Int32)	Create the array of AnovaRegressionFactorParam objects, one for each regression dummy variable. The sums of squares for each of these parameters is assumed to have been computed are are stored in the DoubleVector instance variable parameterSumsOfSquares with the parameters for factor A first, followed by the parameters for factor B and starting at the given index. (Inherited from TwoWayAnova)
	MakeFactorParameters(LinearRegression, DoubleVector, Int32, Factor)	Create the array of AnovaRegressionFactorParam objects, one for each regression dummy variable. The sums of squares for each of these parameters is assumed to have been computed are are stored in the DoubleVector instance variable parameterSumsOfSquares with the parameters for factor A first, followed by the parameters for factor B and starting at the given index. (Inherited from TwoWayAnovaBase)
	MakeInteractionParameters(Int32)	Creates the array of AnovaRegressionInteractionParam objects using the DoubleVector instance variable parameterSumsOfSquares_. The sums of squares for the interaction parameters are assumed to begin at the given index. (Inherited from TwoWayAnova)
	MakeInteractionParameters(LinearRegression, DoubleVector, Int32)	Creates the array of AnovaRegressionInteractionParam objects using the DoubleVector instance variable parameterSumsOfSquares_. The sums of squares for the interaction parameters are assumed to begin at the given index. (Inherited from TwoWayAnovaBase)
	ToString	Returns a formatted string representation of a traditional two-way analysis of variance table. (Inherited from TwoWayAnova)

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Fields

	Name	Description
	anovaTable_	A traditional ANOVA table representation of the results. (Inherited from TwoWayAnova)
	cells_	The ANOVA data broken up into cells. (Inherited from TwoWayAnovaBase)
	factorA_	One of the factors in the ANOVA (Inherited from TwoWayAnovaBase)
	factorB_	The other factor in the ANOVA. (Inherited from TwoWayAnovaBase)
	factorParameters_	Stats for the regression parameters corresponding to the two factors. (Inherited from TwoWayAnova)
	interactionParameters_	Stats for the regression parameters corresponding to the interaction between the two factor. (Inherited from TwoWayAnova)
	interceptParameter_	Stats for the regression intercept parameter. (Inherited from TwoWayAnova)
	lr_	The linear regression used to compute the ANOVA (Inherited from TwoWayAnova)
	lrAnova_	The ANOVA for the linear regression. (Inherited from TwoWayAnova)
	observations_	The observation vector for the regression used to compute the ANVOA. (Inherited from TwoWayAnovaBase)
	parameterSumsOfSquares_	The sums of squares for all the parameters in the regression. These are in the same order as the regression parameters. (Inherited from TwoWayAnova)
	regressionMatrix_	The regression matrix used to compute the ANOVA. (Inherited from TwoWayAnova)

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Remarks

Multiple linear regression is used to compute the RANOVA values.

Reference

CenterSpace.NMath.Core Namespace