TwoWayAnovaModel Class

public class TwoWayAnovaModel : AnovaModel

Public Class TwoWayAnovaModel
	Inherits AnovaModel

public ref class TwoWayAnovaModel : public AnovaModel

type TwoWayAnovaModel =  
    class
        inherit AnovaModel
    end

The TwoWayAnovaModel type exposes the following members.

	Name	Description
	TwoWayAnovaModel(IDataFrame, String)	Constructs a new TwoWayAnovaModel object for the specified data..
	TwoWayAnovaModel(VectorDouble, ICategoricalVector, ICategoricalVector)	Constructs a new TwoWayAnovaModel object for the specified data..
	TwoWayAnovaModel(IDataFrame, String, String, String)	Constructs a new TwoWayAnovaModel object for the specified data..

	Name	Description
	AdjustedRSquared	Gets the adjusted R Squared value for the regression. (Inherited from AnovaModel.)
	AnovaTable	Gets the AnovaTable that summarizes the results of this model. (Inherited from AnovaModel.)
	BaseFeatureIndex	Gets an index containing the keys of the columns that are required inputs to the model. (Inherited from Model.)
	Cells	Gets the collection of data cells for this model.
	ColumnFactor	Gets the factor corresponding to the independent variable.
	ColumnTotals	Gets the cells containing summary data for each column.
	CompleteModelRow	Gets the row in the ANOVA table corresponding to the complete model.
	Computed	Obsolete. Gets whether the model has been computed. (Inherited from Model.)
	CovarianceMatrix	Gets the covariance matrix of the model parameters. (Inherited from AnovaModel.)
	Data	Gets an object that contains all the data used as input to the model. (Inherited from Model.)
	DegreesOfFreedom	Gets the total degrees of freedom of the data. (Inherited from AnovaModel.)
	DependentVariable	Gets or sets the dependent variable in the ANOVA model. (Inherited from AnovaModel.)
	FirstFactorRow	Gets the row in the ANOVA table corresponding to the first factor.
	Fitted	Gets whether the model has been computed. (Inherited from Model.)
	FStatistic	Gets the F statistic for the regression. (Inherited from AnovaModel.)
	Grouping	Gets the grouping object that maps observations to their cell. (Overrides AnovaModelGrouping.)
	InputSchema	Gets the schema for the features used for fitting the model. (Inherited from Model.)
	InteractionRow	Gets the row in the ANOVA table corresponding to the interaction between the two factors.
	IsBalanced	Gets whether all the cells in the ANOVA design have the same number of observations. (Overrides AnovaModelIsBalanced.)
	LogLikelihood	Gets the log-likelihood that the model generated the data. (Inherited from AnovaModel.)
	MaxDegreeOfParallelism	Gets or sets the maximum degree of parallelism enabled by this instance. (Inherited from Model.)
	ModelSchema	Gets the collection of variables used in the model. (Inherited from Model.)
	NumberOfObservations	Gets the number of observations the model is based on. (Inherited from Model.)
	ObservationsPerCell	Gets the number of observations per cell. (Overrides AnovaModelObservationsPerCell.)
	ParallelOptions	Gets or sets an object that specifies how the calculation of the model should be parallelized. (Inherited from Model.)
	Parameters	Gets a vector containing the estimated values of the model parameters. (Inherited from AnovaModel.)
	PValue	Gets the probability corresponding to the F statistic for the regression. (Inherited from AnovaModel.)
	RowFactor	Gets the factor corresponding to the independent variable.
	RowTotals	Gets the cells containing summary data for each row.
	RSquared	Gets the R Squared value for the regression. (Inherited from AnovaModel.)
	SecondFactorRow	Gets the row in the ANOVA table corresponding to the second factor.
	StandardError	Gets the standard error of the regression. (Inherited from AnovaModel.)
	Status	Gets the status of the model, which determines which information is available. (Inherited from Model.)
	SumsOfSquaresType	Gets the type of sum of squares to return in the ANOVA table.
	SupportsWeights	Indicates whether the model supports case weights. (Inherited from Model.)
	TotalCell	Gets a cell containing summary statistics for all the data in the model.
	TypeIIISumsOfSquares	Gets an ANOVA table using Type III sums of squares.
	TypeIISumsOfSquares	Gets an ANOVA table using Type II sums of squares.
	TypeISumsOfSquares	Gets an ANOVA table using Type I sums of squares.
	Weights	Gets or sets the actual weights. (Inherited from Model.)

	Name	Description
	Compute	Obsolete. Computes the model. (Inherited from Model.)
	Compute(ParallelOptions)	Obsolete. Computes the model. (Inherited from Model.)
	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.)
	Fit	Fits the model to the data. (Inherited from Model.)
	Fit(ParallelOptions)	Fits the model to the data. (Inherited from Model.)
	FitCore	Computes the model. (Overrides ModelFitCore(ModelInput, ParallelOptions).)
	GetAkaikeInformationCriterion	Returns the Akaike information criterion (AIC) value for the model. (Inherited from AnovaModel.)
	GetBartlettTest	Returns Bartlett's test to verify that the cells have the same variance. (Inherited from AnovaModel.)
	GetBayesianInformationCriterion	Returns the Bayesian information criterion (BIC) value for the model. (Inherited from AnovaModel.)
	GetFactor(Int32)	Gets the factor corresponding to the variable with the specified index. (Inherited from AnovaModel.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetHomogeneityOfVariancesTest	Returns a test to verify that the cells have the same variance. (Inherited from AnovaModel.)
	GetHomogeneityOfVariancesTest(TestOfHomogeneityOfVariances)	Returns a test to verify that the cells have the same variance. (Inherited from AnovaModel.)
	GetLeveneTest	Returns Levene's test to verify that the cells have the same variance. (Inherited from AnovaModel.)
	GetTukeyTestOfAdditivity	Returns Tukey's test for additivity applied to the model.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ResetComputation	Obsolete. Clears all fitted model parameters. (Inherited from Model.)
	ResetFit	Clears all fitted model parameters. (Inherited from Model.)
	SetDataSource	Uses the specified data frame as the source for all input variables. (Inherited from Model.)
	Summarize	Returns a string containing a human-readable summary of the object using default options. (Inherited from Model.)
	Summarize(SummaryOptions)	Returns a string containing a human-readable summary of the object using the specified options. (Inherited from AnovaModel.)
	ToString	Returns a string representation of this instance. (Inherited from AnovaModel.)

Use the TwoWayAnovaModel to represent an analysis of variance model with two factors. The observation variable and factor variables must be specified in the constructor. The dependent variable must be numerical. The factor variables must be categorical.

OneWayAnovaModel inherits from AnovaModel, which in turn inherits from AnovaModel. All methods and properties of these classes are available.

Before you can access the results of the analysis, you must call the Fit method.

The results of the analysis are available through properties of the model object, including FStatistic and PValue. They are summarized in the AnovaTable.

The Cells property returns a Cell matrix that represents the data organized into cells. There is one cell for every combination of factor levels. Cell means and other properties of the model can be accessed through the properties of individual cells.

One of the assumptions in analysis of variance is that the variances of the data in each cell are the same. The GetHomogeneityOfVariancesTest returns a hypothesis test object that allows you to verify this assumption.

Reference