Public Class OneWayRAnovaModel _
	Inherits AnovaModel

public class OneWayRAnovaModel : AnovaModel

public ref class OneWayRAnovaModel : public AnovaModel

Use the OneWayRAnovaModel to represent an analysis of variance model with one factor. The dependent variable, factor variable and subject variable must be specified in the constructor. The dependent variable must be of type NumericalVariable. The factor and subject variables must be of type CategoricalVariable.

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

Before you can access the results of the analysis, you must call the Compute() 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 CellArray object 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.

System.Object
  Extreme.Statistics.GeneralLinearModel
    Extreme.Statistics.AnovaModel
      Extreme.Statistics.OneWayRAnovaModel