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Stat Assembly > Stat Assembly Classes > SmDiscriminantAnalysis

SmDiscriminantAnalysis

Assembly: Stat;

Description

The SmDiscriminantAnalysis class is used for data mining using the Discriminatory Analysis method.

Comments

This method finds a linear combination of variables which best separate (discriminate) two or more classes.

Class object properties inherited from ISmDiscriminantAnalysis

  Property name Brief description
ClassCount The ClassCount property returns the number of classes obtained as the result of method calculation.
ClassificationSummary The ClassificationSummary property returns summary classification matrix.
EigenValues The EigenValues property returns eigenvalues.
FishersFuncs The FishersFuncs property returns Fisher functions.
NonStdDiscriminantFuncs The NonStdDiscriminantFuncs property returns non-standardized coefficients of canonical discriminant functions.
PooledWithinCorrelation The PooledWithinCorrelation property returns pooled intraclass correlation forn each explanatory series.
PooledWithinCovariance The PooledWithinCovariance property returns pooled intraclass covariance for each of the explanatory series.
RelevanceMeasure The RelevanceMeasure property returns binary classification quality criteria.
StdDiscriminantFuncs The StdDiscriminantFuncs property returns standardized coefficients of canonical discriminant functions.
StructuralMatrix The StructuralMatrix property returns the structural matrix.
TotalAverage The TotalAverage property returns the total average for each of the explanatory series.
TotalCorrelation The TotalCorrelation property returns total correlation for each of the explanatory series.
TotalCovariance The TotalCovariance property returns total covariance for each of the explanatory series.
TotalStdDev The TotalStdDev property returns common standard deviation for each of the explanatory series.
WilkesStatistics The WilkesStatistics property returns the Wilkes statistics.
WithinAverage The WithinAverage property returns intraclass average for each of the explanatory series.
WithinCorrelation The WithinCorrelation property returns intraclass correlation for each of the explanatory series.
WithinCovariance The WithinCovariance property returns intraclass covariance for each of the explanatory series.
WithinStdDev The WithinStdDev property returns intraclass standard deviation for each of the explanatory series.

Class object properties inherited from IDataMining

  Property name Brief description
Dependent The Dependent property returns the explained series.
Explanatories The Explanatories property returns the collection of classification factors.
FilledDependent The FilledDependent property returns the series with calculation results.

Class object properties inherited from IStatMethodValid

  Property name Brief description
CrossValidation The CrossValidation property returns cross-validation settings.
PerformanceScores

 The PerformanceScores property returns cross-validation results.

Class object properties inherited from IStatMethod

  Property name Brief description
DisplayName The DisplayName property returns the displayed method name.
ErrorByStatus The ErrorByStatus property returns an error message by the error number.
Errors The Errors property returns a message with all the errors and warnings.
Name The Name property returns the internal method name.
PerformanceTime The PerformanceTime property returns method execution time.
Status The Status property returns the method execution status.
SupportsR The SupportsR property returns whether statistical method can be calculated via R package.
UseR The UseR property determines whether statistical method is calculated via the R package.
WarningByStatus The WarningByStatus property returns a warning text by its number.
Warnings The Warnings property returns the warnings that occurred on method calculation.
WarningsCount The WarningsCount property returns the number of warnings that occurred on method calculation.
WarningsNumbers The WarningsNumbers property returns numbers of the warnings that occurred on method calculation.

Class object methods inherited from IStatMethodValid

  Method name Brief description
ExecuteValidation The ExecuteValidation method executes cross-validation.

Methods of class object inherited from IStatMethod

  Method Name Brief description
Clone The Clone method clones a statistical method object.
Execute The Execute method executes a statistical method.
LoadFromXML The LoadFromXML method loads statistical method settings from XML code.
SaveToXML The SaveToXML method unloads statistical method settings to XML code.

See also:

Stat Assembly Classes