IGLib  1.7.2
The IGLib base library EXTENDED - with other lilbraries and applications.
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Properties Events Macros
Public Member Functions | Private Member Functions | List of all members
Test.ContingencyTableTest Class Reference

Public Member Functions

void ContingencyTableOperations ()
 
void ContingencyTableProbabilitiesAndUncertainties ()
 

Private Member Functions

void ChooseRandomCell (double[,] pp, double p, out int r, out int c)
 

Member Function Documentation

void Test.ContingencyTableTest.ContingencyTableOperations ( )
inline

References Meta.Numerics.Statistics.ContingencyTable.ColumnCount, Meta.Numerics.Statistics.ContingencyTable.ColumnTotal(), Meta.Numerics.Statistics.ContingencyTable.RowCount, Meta.Numerics.Statistics.ContingencyTable.RowTotal(), and Meta.Numerics.Statistics.ContingencyTable.Total.

void Test.ContingencyTableTest.ChooseRandomCell ( double  pp[,],
double  p,
out int  r,
out int  c 
)
inlineprivate

Referenced by Test.ContingencyTableTest.ContingencyTableProbabilitiesAndUncertainties().

void Test.ContingencyTableTest.ContingencyTableProbabilitiesAndUncertainties ( )
inline

References Meta.Numerics.Statistics.BivariateSample.Add(), Test.ContingencyTableTest.ChooseRandomCell(), Meta.Numerics.Interval.ClosedContains(), Meta.Numerics.UncertainValue.ConfidenceInterval(), Meta.Numerics.Statistics.ContingencyTable.Increment(), Meta.Numerics.Statistics.Sample.Mean, Meta.Numerics.Statistics.Sample.PopulationMean, Meta.Numerics.Statistics.Sample.PopulationStandardDeviation, Meta.Numerics.Statistics.ContingencyTable.Probability(), Meta.Numerics.Statistics.ContingencyTable.ProbabilityOfColumn(), Meta.Numerics.Statistics.ContingencyTable.ProbabilityOfColumnConditionalOnRow(), Meta.Numerics.Statistics.ContingencyTable.ProbabilityOfRow(), Meta.Numerics.Statistics.ContingencyTable.ProbabilityOfRowConditionalOnColumn(), Meta.Numerics.Statistics.ContingencyTable.Total, Meta.Numerics.UncertainValue.Uncertainty, Meta.Numerics.UncertainValue.Value, Meta.Numerics.Statistics.BivariateSample.X, and Meta.Numerics.Statistics.BivariateSample.Y.

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