IGLib  1.7.2
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Test.DataSetTest Class Reference

This is a test class for DataSetTest and is intended to contain all DataSetTest Unit Tests /summary> More...

Public Member Functions

void DataSetManipulationsTest ()
 
void FitDataToProportionalityTest ()
 
void FitDataToLineTest ()
 
void FitDataToLineChiSquaredTest ()
 
void FitDataToPolynomialTest ()
 
void FitDataToPolynomialChiSquaredTest ()
 
void FitDataToPolynomialUncertaintiesTest ()
 
void FitDataToLinearFunctionTest ()
 
void FitDataToFunctionTest ()
 
void FitToFunctionLinearCompatibilityTest ()
 
void FitToFunctionPolynomialCompatibilityTest ()
 
void FitDataToLineUncertaintyTest ()
 

Properties

TestContext TestContext [get, set]
 Gets or sets the test context which provides information about and functionality for the current test run. /summary> More...
 

Private Member Functions

UncertainMeasurementSample CreateDataSet (Interval r, Func< double, double > fv, Func< double, double > fu, int n)
 
UncertainMeasurementSample CreateDataSet (Interval r, Func< double, double > fv, Func< double, double > fu, int n, int seed)
 
UncertainMeasurementSample CreateDataSet (double[] xs, Func< double, double > fv, Func< double, double > fu, int seed)
 

Private Attributes

TestContext testContextInstance
 

Detailed Description

This is a test class for DataSetTest and is intended to contain all DataSetTest Unit Tests /summary>

Member Function Documentation

void Test.DataSetTest.DataSetManipulationsTest ( )
inline
UncertainMeasurementSample Test.DataSetTest.CreateDataSet ( Interval  r,
Func< double, double >  fv,
Func< double, double >  fu,
int  n 
)
inlineprivate

Referenced by Test.DataSetTest.FitDataToLinearFunctionTest(), Test.DataSetTest.FitDataToLineChiSquaredTest(), Test.DataSetTest.FitDataToLineTest(), Test.DataSetTest.FitDataToLineUncertaintyTest(), Test.DataSetTest.FitDataToPolynomialChiSquaredTest(), Test.DataSetTest.FitDataToPolynomialTest(), Test.DataSetTest.FitDataToPolynomialUncertaintiesTest(), Test.DataSetTest.FitDataToProportionalityTest(), Test.DataSetTest.FitToFunctionLinearCompatibilityTest(), and Test.DataSetTest.FitToFunctionPolynomialCompatibilityTest().

UncertainMeasurementSample Test.DataSetTest.CreateDataSet ( Interval  r,
Func< double, double >  fv,
Func< double, double >  fu,
int  n,
int  seed 
)
inlineprivate

References Meta.Numerics.Statistics.Distributions.UniformDistribution.InverseLeftProbability(), and Meta.Numerics.Statistics.Distributions.NormalDistribution.InverseLeftProbability().

UncertainMeasurementSample Test.DataSetTest.CreateDataSet ( double[]  xs,
Func< double, double >  fv,
Func< double, double >  fu,
int  seed 
)
inlineprivate

References Meta.Numerics.Statistics.Distributions.NormalDistribution.InverseLeftProbability().

void Test.DataSetTest.FitDataToProportionalityTest ( )
inline

References Meta.Numerics.Interval.ClosedContains(), Meta.Numerics.UncertainValue.ConfidenceInterval(), Test.DataSetTest.CreateDataSet(), Meta.Numerics.Statistics.FitResult.Dimension, Meta.Numerics.Statistics.UncertainMeasurementSample.FitToLine(), Meta.Numerics.Statistics.UncertainMeasurementSample.FitToProportionality(), Meta.Numerics.Interval.FromEndpoints(), Meta.Numerics.Statistics.FitResult.GoodnessOfFit, Meta.Numerics.Statistics.TestResult.LeftProbability, Meta.Numerics.Statistics.FitResult.Parameter(), Meta.Numerics.Statistics.TestResult.Statistic, and Meta.Numerics.UncertainValue.Value.

void Test.DataSetTest.FitDataToLineTest ( )
inline

References Meta.Numerics.Interval.ClosedContains(), Meta.Numerics.UncertainValue.ConfidenceInterval(), Meta.Numerics.Statistics.FitResult.CorrelationCoefficient(), Meta.Numerics.Statistics.FitResult.Covariance(), Meta.Numerics.Statistics.FitResult.CovarianceMatrix(), Test.DataSetTest.CreateDataSet(), Meta.Numerics.Statistics.FitResult.Dimension, Meta.Numerics.Statistics.UncertainMeasurementSample.FitToConstant(), Meta.Numerics.Statistics.UncertainMeasurementSample.FitToLine(), Meta.Numerics.Statistics.UncertainMeasurementSample.FitToPolynomial(), Meta.Numerics.Interval.FromEndpoints(), Meta.Numerics.Statistics.FitResult.GoodnessOfFit, Meta.Numerics.Statistics.TestResult.LeftProbability, Meta.Numerics.Statistics.FitResult.Parameter(), Meta.Numerics.Statistics.FitResult.Parameters(), Meta.Numerics.Statistics.TestResult.RightProbability, Meta.Numerics.Statistics.TestResult.Statistic, and Meta.Numerics.UncertainValue.Uncertainty.

void Test.DataSetTest.FitDataToLineChiSquaredTest ( )
inline

References Meta.Numerics.Statistics.Sample.Add(), Meta.Numerics.Statistics.Sample.Count, Test.DataSetTest.CreateDataSet(), Meta.Numerics.Statistics.UncertainMeasurementSample.FitToLine(), Meta.Numerics.Interval.FromEndpoints(), Meta.Numerics.Statistics.FitResult.GoodnessOfFit, Meta.Numerics.Statistics.Sample.KolmogorovSmirnovTest(), Meta.Numerics.Statistics.TestResult.LeftProbability, and Meta.Numerics.Statistics.TestResult.Statistic.

void Test.DataSetTest.FitDataToPolynomialTest ( )
inline

References Meta.Numerics.Interval.ClosedContains(), Meta.Numerics.UncertainValue.ConfidenceInterval(), Test.DataSetTest.CreateDataSet(), Meta.Numerics.Statistics.FitResult.Dimension, Meta.Numerics.Statistics.UncertainMeasurementSample.FitToPolynomial(), Meta.Numerics.Interval.FromEndpoints(), Meta.Numerics.Statistics.FitResult.GoodnessOfFit, Meta.Numerics.Statistics.TestResult.LeftProbability, Meta.Numerics.Statistics.FitResult.Parameter(), and Meta.Numerics.Statistics.TestResult.Statistic.

void Test.DataSetTest.FitDataToPolynomialChiSquaredTest ( )
inline

References Meta.Numerics.Statistics.Sample.Add(), Meta.Numerics.Statistics.Sample.Count, Test.DataSetTest.CreateDataSet(), Meta.Numerics.Statistics.UncertainMeasurementSample.FitToPolynomial(), Meta.Numerics.Interval.FromEndpoints(), Meta.Numerics.Statistics.FitResult.GoodnessOfFit, Meta.Numerics.Statistics.Sample.KolmogorovSmirnovTest(), Meta.Numerics.Statistics.TestResult.LeftProbability, and Meta.Numerics.Statistics.TestResult.Statistic.

void Test.DataSetTest.FitDataToPolynomialUncertaintiesTest ( )
inline

References Meta.Numerics.Statistics.MultivariateSample.Add(), Meta.Numerics.Statistics.Sample.Add(), Meta.Numerics.Interval.ClosedContains(), Meta.Numerics.Statistics.MultivariateSample.Column(), Meta.Numerics.UncertainValue.ConfidenceInterval(), Test.DataSetTest.CreateDataSet(), Meta.Numerics.Statistics.FitResult.Dimension, Meta.Numerics.Statistics.UncertainMeasurementSample.FitToPolynomial(), Meta.Numerics.Statistics.Sample.Mean, Meta.Numerics.Statistics.FitResult.Parameter(), Meta.Numerics.Statistics.Sample.PopulationMean, Meta.Numerics.Statistics.Sample.PopulationStandardDeviation, Meta.Numerics.Statistics.Sample.StandardDeviation, Meta.Numerics.UncertainValue.Uncertainty, and Meta.Numerics.UncertainValue.Value.

void Test.DataSetTest.FitDataToLinearFunctionTest ( )
inline

References Meta.Numerics.Interval.ClosedContains(), Meta.Numerics.UncertainValue.ConfidenceInterval(), Meta.Numerics.Statistics.FitResult.Covariance(), Test.DataSetTest.CreateDataSet(), Meta.Numerics.Statistics.FitResult.Dimension, Meta.Numerics.Interval.FromEndpoints(), Meta.Numerics.Statistics.FitResult.Parameter(), and Meta.Numerics.UncertainValue.Uncertainty.

void Test.DataSetTest.FitDataToFunctionTest ( )
inline

References Meta.Numerics.Statistics.FitResult.Parameter().

void Test.DataSetTest.FitToFunctionLinearCompatibilityTest ( )
inline

References Meta.Numerics.Statistics.FitResult.CovarianceMatrix(), Test.DataSetTest.CreateDataSet(), Meta.Numerics.Statistics.FitResult.Dimension, Meta.Numerics.Statistics.UncertainMeasurementSample.FitToLine(), Meta.Numerics.Interval.FromEndpoints(), Meta.Numerics.Statistics.FitResult.GoodnessOfFit, Meta.Numerics.Statistics.FitResult.Parameter(), Meta.Numerics.Statistics.FitResult.Parameters(), and Meta.Numerics.Statistics.TestResult.Statistic.

void Test.DataSetTest.FitToFunctionPolynomialCompatibilityTest ( )
inline

References Meta.Numerics.Interval.ClosedContains(), Meta.Numerics.UncertainValue.ConfidenceInterval(), Meta.Numerics.Statistics.FitResult.CovarianceMatrix(), Test.DataSetTest.CreateDataSet(), Meta.Numerics.Statistics.FitResult.Dimension, Meta.Numerics.Statistics.UncertainMeasurementSample.FitToPolynomial(), Meta.Numerics.Interval.FromEndpoints(), Meta.Numerics.Statistics.FitResult.GoodnessOfFit, Meta.Numerics.Statistics.FitResult.Parameter(), Meta.Numerics.Statistics.FitResult.Parameters(), Meta.Numerics.Statistics.TestResult.Statistic, and Meta.Numerics.UncertainValue.Value.

void Test.DataSetTest.FitDataToLineUncertaintyTest ( )
inline

References Meta.Numerics.Statistics.MultivariateSample.Add(), Meta.Numerics.Statistics.FitResult.CovarianceMatrix(), Test.DataSetTest.CreateDataSet(), Meta.Numerics.Statistics.UncertainMeasurementSample.FitToLine(), and Meta.Numerics.Statistics.FitResult.Parameters().

Member Data Documentation

TestContext Test.DataSetTest.testContextInstance
private

Property Documentation

TestContext Test.DataSetTest.TestContext
getset

Gets or sets the test context which provides information about and functionality for the current test run. /summary>

The documentation for this class was generated from the following file: