| ANOVA Class |
Analysis of Variance table and related statistics.
Inheritance HierarchyNamespace: Imsl.Stat
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0
SyntaxThe ANOVA type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | ANOVA(Double[][]) |
Analyzes a one-way classification model.
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| ANOVA(Double, Double, Double, Double, Double) |
Construct an analysis of variance table and related statistics.
Intended for use by the LinearRegression class.
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Methods| 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.) |
| GetArray |
Returns the ANOVA values as an array.
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| GetConfidenceInterval | Computes the confidence interval associated with the difference of means
between two groups using a specified method.
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| GetGroupInformation |
Returns information concerning the groups.
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| GetHashCode | Serves as a hash function for a particular type. (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.) |
Properties| Name | Description | |
|---|---|---|
 | AdjustedRSquared |
Returns the adjusted R-squared (in percent).
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| CoefficientOfVariation |
Returns the coefficient of variation (in percent).
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| DegreesOfFreedomForError |
Returns the degrees of freedom for error.
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| DegreesOfFreedomForModel |
Returns the degrees of freedom for the model.
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| ErrorMeanSquare |
Returns the error mean square.
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| F |
Returns the F statistic.
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| MeanOfY |
Returns the mean of the response (dependent variable).
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| ModelErrorStdev |
Returns the estimated standard deviation of the model error.
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| ModelMeanSquare |
Returns the model mean square.
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| NumberOfProcessors |
Perform the parallel calculations with the maximum possible number of
processors set to NumberOfProcessors.
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| P |
Returns the p-value.
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| RSquared |
Returns the R-squared (in percent).
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| SumOfSquaresForError |
Returns the sum of squares for error.
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| SumOfSquaresForModel |
Returns the sum of squares for model.
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| TotalDegreesOfFreedom |
Returns the total degrees of freedom.
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| TotalMissing |
Returns the total number of missing values.
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| TotalSumOfSquares |
Returns the total sum of squares.
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See Also