Name 

Description 

Tee 

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Units 

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Name 

Description 

Classes 

The following table lists classes in this documentation. 

Structs, Records, Enums 

The following table lists structs, records, enums in this documentation. 

Types 

The following table lists types in this documentation. 

 

Name 

Description 

 

TBinaryTestTable 

Defines binary test table structure. 

 

TMtxAnova 

Visual representation of One and Two way ANOVA. 

 

TMtxBinaryTest 

Performs one and two test paired or unpaired binary test. 

 

TMtxHypothesisTest 

Encapsulates parametric and non-parametric hypothesis testing routines. 

 

TMtxLogistReg 

Performs logistic regression. 

 

TMtxMDScaling 

Performs multidimensional scaling. 

 

TMtxMulLinReg 

Performs multiple linear regression. 

 

TMtxMultiNonLinReg 

Performs multiple-nonlinear regression. 

 

TMtxNonLinReg 

Performs nonlinear regression. 

 

TMtxPCA 

Performs Principle Component Analysis (PCA). 

 

TMtxStepwiseReg 

Stepwise regression is an optimization aglorithm aiming to improve the quality of the multiple linear regression by excluding noisy variables.  

 

TMultiRegressInternal 

This is class Dew.Stats.TMultiRegressInternal. 

 

TRegressInternal 

This is class Dew.Stats.TRegressInternal. 

 

TRegResultClass 

Calculates additional parameters from multiple linear regression. 

 

TRegStatsClass 

Calculates statistics from multiple linear regression parameters. 

 

Name 

Description 

 

TANOVA1Result 

Defines one-way ANOVA statistics parameters. 

 

TANOVA2Result 

Defines two-way ANOVA (with or without replications) statistics parameters. 

 

TBinaryTestType 

Defines type of binary test. 

 

TcfInitMethod 

ARMA/ARIMA coefficients initial estimate method. 

 

TFStats 

Defines F statistics parameters for regression test. 

 

THotellingT2Type 

Defines Hotelling T2 test type. 

 

THypothesisMethod 

Defines hypothesis test/method. 

 

THypothesisResult 

Defines result of the hypothesis test. 

 

THypothesisType 

Defines one or two sided hypothesis testing. 

 

TLHCImprove 

Defines the criterion for measuring the improvement of Latih Hypercube DOE. 

 

TMatrixRotation 

Defines the rotation method. 

 

TMDDataFormat 

MD matrix data type. 

 

TMDScalingMethod 

Defines type of multidimensional scaling. 

 

TPCAMode 

Defines type of Principal Component Analysis (PCA). 

 

TPercentileMethod 

Defines methods for calculatating percentile. 

 

TPWDistMethod 

Defines method for pairwise distance calculation. 

 

TRegressionModel 

Defines different linear models. 

 

TRegSolveMethod 

Defines regression equation solve method. 

 

TRegStats 

Regression statistical parameters. 

 

TStepwiseAction 

Stepwise regression variable action. 

 

TStepwiseMethod 

Stepwise regression optimization algorithm.  

Name 

Description 

TDeriveProc 

Defines derivatives of a function. 

TMultiDeriveProc 

Defines derivatives of a function. 

TMultiRegressFun 

Defines multiple regression function. 

TOnStepwiseQualityCriteria 

Callback function for custom quality criteria of stepwise regression optimization algorithm.  

TRegressFun 

Defines regression function. 

TStepwiseQualityCriteria 

Callback function for custom quality criteria of stepwise regression optimization algorithm.