AnovaModel Class

public abstract class AnovaModel : Model

Public MustInherit Class AnovaModel
	Inherits Model

public ref class AnovaModel abstract : public Model

[<AbstractClassAttribute>]
type AnovaModel =  
    class
        inherit Model
    end

The AnovaModel type exposes the following members.

	Name	Description
	AnovaModel(IDataFrame, String)	Constructs a new AnovaModel objects.
	AnovaModel(VectorDouble, ICategoricalVector)	Constructs a new AnovaModel objects.
	AnovaModel(IDataFrame, String, String)	Constructs a new AnovaModel objects.

	Name	Description
	AdjustedRSquared	Gets the adjusted R Squared value for the regression.
	AnovaTable	Gets the AnovaTable that summarizes the results of this model.
	BaseFeatureIndex	Gets an index containing the keys of the columns that are required inputs to the model. (Inherited from Model.)
	Computed	Obsolete. Gets whether the model has been computed. (Inherited from Model.)
	CovarianceMatrix	Gets the covariance matrix of the model parameters.
	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.
	DependentVariable	Gets or sets the dependent variable in the ANOVA model.
	Fitted	Gets whether the model has been computed. (Inherited from Model.)
	FStatistic	Gets the F statistic for the regression.
	Grouping	Gets the grouping object that maps observations to their cell.
	InputSchema	Gets the schema for the features used for fitting the model. (Inherited from Model.)
	IsBalanced	Gets whether all the cells in the ANOVA design have the same number of observations.
	LogLikelihood	Gets the log-likelihood that the model generated the data.
	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.
	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.
	PValue	Gets the probability corresponding to the F statistic for the regression.
	RSquared	Gets the R Squared value for the regression.
	StandardError	Gets the standard error of the regression.
	Status	Gets the status of the model, which determines which information is available. (Inherited from Model.)
	SupportsWeights	Indicates whether the model supports case weights. (Inherited from Model.)
	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 to the specified input using the specified parallelization options. (Inherited from Model.)
	GetAkaikeInformationCriterion	Returns the Akaike information criterion (AIC) value for the model.
	GetBartlettTest	Returns Bartlett's test to verify that the cells have the same variance.
	GetBayesianInformationCriterion	Returns the Bayesian information criterion (BIC) value for the model.
	GetFactor(Int32)	Gets the factor corresponding to the variable with the specified index.
	GetFactorT(Int32)	Gets the strongly typed factor corresponding to the variable at the specified position.
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetHomogeneityOfVariancesTest	Returns a test to verify that the cells have the same variance.
	GetHomogeneityOfVariancesTest(TestOfHomogeneityOfVariances)	Returns a test to verify that the cells have the same variance.
	GetLeveneTest	Returns Levene's test to verify that the cells have the same variance.
	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. (Overrides ModelSummarize(SummaryOptions).)
	ToString	Returns a string representation of this instance. (Overrides ModelToString.)

The AnovaModel class is an abstract base class for all classes that implement Analysis of Variance (ANOVA) models. It inherits from RegressionModelT, and defines a number of additional properties and methods useful in analysis of variance.

ANOVA models are a specialized form of regression model whose independent variables or predictors are all categorical in nature. The categorical scales are called factors. Use the GetFactor(Int32) method to get the factor that corresponds to a specific independent variable.

The Cells property returns a vector or matrix of Cell objects. There is one cell for every combination of factor levels. The IsBalanced property indicates whether all cells have the same number of observations.

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

This is an abstract base class, and cannot be instantiated directly. Instead, use one of the derived classes listed in the following table.

Reference