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TwoWayAnova Class |
Namespace: Accord.Statistics.Testing
The TwoWayAnova type exposes the following members.
| Name | Description | |
|---|---|---|
| TwoWayAnova(Double, TwoWayAnovaModel) |
Constructs a new TwoWayAnova.
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| TwoWayAnova(Double, Int32, Int32, TwoWayAnovaModel) |
Constructs a new TwoWayAnova.
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| Name | Description | |
|---|---|---|
| FirstFactorSamples |
Gets the number of samples presenting the first factor.
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| ModelType |
Gets or sets the type of the model.
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| Observations |
Gets the number of observations in the sample.
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| Replications |
Gets the number of replications of each factor.
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| SecondFactorSamples |
Gets the number of samples presenting the second factor.
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| Sources |
Gets or sets the variation sources obtained in the analysis.
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| Table |
Gets the ANOVA results in the form of a table.
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| Name | Description | |
|---|---|---|
| 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.) | |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) | |
| GetType | Gets the Type of the current instance. (Inherited from Object.) | |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
| Name | Description | |
|---|---|---|
| HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |
| IsEqual | Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.) | |
| ToT |
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
The two-way ANOVA is an extension of the one-way ANOVA for two independent variables. There are three classes of models which can also be used in the analysis, each of which determining the interpretation of the independent variables in the analysis.
References: