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

Inheritance

Object  →  Model  →  AnovaModel

Derived

Numerics.NET.Statistics.OneWayAnovaModel

Numerics.NET.Statistics.OneWayRAnovaModel

Numerics.NET.Statistics.TwoWayAnovaModel

The AnovaModel class is an abstract base class for all classes that implement Analysis of Variance (ANOVA) models. It inherits from RegressionModel<T>, 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