StatTools Unit — Stats Master

Classes

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.
TRegResultClass	Calculates additional parameters from multiple linear regression.
TRegStatsClass	Calculates statistics from multiple linear regression parameters.

Name	Description
TBinaryTestType	Defines type of binary test.
THypothesisMethod	Defines hypothesis test/method.
TMDDataFormat	MD matrix data type.
TMDScalingMethod	Defines type of multidimensional scaling.
TStepwiseAction	Stepwise regression variable action.

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