• Extreme Optimization
  • Features
  • Solutions
  • Documentation
  • QuickStart Samples
  • Sample Applications
  • Downloads
  • Technical Support
  • Download trial
  • How to buy
  • Blog
  • Company
  • Resources
• Documentation
  • Introduction
  • Deployment Guide
  • Configuration
  • Using Parallelism
  • Mathematics Library User's Guide
  • Vector and Matrix Library User's Guide
  • Data Analysis Library User's Guide
  • Statistics Library User's Guide
  • Data Access Library User's Guide
  • Reference
• Reference
  • Extreme
  • Extreme.Collections
  • Extreme.Data
  • Extreme.Data.Json
  • Extreme.Data.Matlab
  • Extreme.Data.R
  • Extreme.Data.Stata
  • Extreme.Data.Text
  • Extreme.DataAnalysis
  • Extreme.DataAnalysis.Linq
  • Extreme.Mathematics
  • Extreme.Mathematics.Algorithms
  • Extreme.Mathematics.Calculus
  • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations
  • Extreme.Mathematics.Curves
  • Extreme.Mathematics.Curves.Nonlinear
  • Extreme.Mathematics.Distributed
  • Extreme.Mathematics.Distributed.Cuda
  • Extreme.Mathematics.EquationSolvers
  • Extreme.Mathematics.FSharp
  • Extreme.Mathematics.Generic
  • Extreme.Mathematics.Generic.LinearAlgebra
  • Extreme.Mathematics.Generic.LinearAlgebra.Implementation
  • Extreme.Mathematics.Generic.LinearAlgebra.Providers
  • Extreme.Mathematics.Generic.SignalProcessing
  • Extreme.Mathematics.Implementation
  • Extreme.Mathematics.LinearAlgebra
  • Extreme.Mathematics.LinearAlgebra.Complex
  • Extreme.Mathematics.LinearAlgebra.Complex.Decompositions
  • Extreme.Mathematics.LinearAlgebra.Implementation
  • Extreme.Mathematics.LinearAlgebra.IO
  • Extreme.Mathematics.LinearAlgebra.IterativeSolvers
  • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners
  • Extreme.Mathematics.LinearAlgebra.Providers
  • Extreme.Mathematics.LinearAlgebra.Sparse
  • Extreme.Mathematics.Optimization
  • Extreme.Mathematics.Optimization.Genetic
  • Extreme.Mathematics.Optimization.LineSearches
  • Extreme.Mathematics.Random
  • Extreme.Mathematics.SignalProcessing
  • Extreme.Numerics.FSharp
  • Extreme.Statistics
  • Extreme.Statistics.Distributions
  • Extreme.Statistics.IO
  • Extreme.Statistics.Linq
  • Extreme.Statistics.Multivariate
  • Extreme.Statistics.Random
  • Extreme.Statistics.Tests
  • Extreme.Statistics.TimeSeriesAnalysis
• Extreme.Statistics
  • Aggregator Class
  • AnovaModel Class
  • AnovaModelRow Class
  • AnovaRow Class
  • AnovaRowCollection Class
  • AnovaRowType Enumeration
  • AnovaTable Class
  • BoundaryIntervalBehavior Enumeration
  • CategoricalScale Class
  • CategoricalVariable Class
  • CategoricalVariable.CategoricalFilters Structure
  • Cell Structure
  • CellArray Class
  • ClassificationModel Class
  • ClusteringModel Class
  • CollectionSortOrder Class
  • ContingencyTable Class
  • ContingencyTableCell Structure
  • DataArray(T) Class
  • DataArrayElement(T) Class
  • DateTimeInterval Structure
  • DateTimeScale Class
  • DateTimeUnit Enumeration
  • DateTimeVariable Class
  • DateTimeVariable.DateTimeFilters Structure
  • Descriptives(T) Class
  • Filter Class
  • GeneralizedLinearModel Class
  • Histogram Class
  • HistogramBin Structure
  • HistogramBinCollection Class
  • HypothesisTests Class
  • InsufficientDataException Class
  • ITransformationModel Interface
  • Kernel Class
  • KernelDensity Class
  • KernelDensityBandwidthEstimator Enumeration
  • KeyVariable Class
  • KeyVariable(T) Class
  • LinearRegressionModel Class
  • LinkFunction Class
  • LogisticRegressionMethod Enumeration
  • LogisticRegressionModel Class
  • MissingValueAction Enumeration
  • MissingValueException Class
  • Model Class
  • ModelExtensions Class
  • ModelFamily Class
  • ModelFitOptions Class
  • ModelInput Class
  • ModelInputCategory Enumeration
  • ModelInputFormat Enumeration
  • ModelInputGroup Class
  • ModelSerialization Enumeration
  • ModelStatus Enumeration
  • ModelTerm Class
  • ModelTermCollection Class
  • ModelTermKind Enumeration
  • MultipleMissingValueAction Enumeration
  • NearestCorrelationMatrixAlgorithm Enumeration
  • NonlinearRegressionModel Class
  • NumericalScale Class
  • NumericalVariable Class
  • NumericalVariable.NumericalFilters Structure
  • NumericalVariable.NumericalVariableTransforms Structure
  • Observation Structure
  • ObservationCollection Class
  • OneWayAnovaModel Class
  • OneWayRAnovaModel Class
  • Parameter Class
  • ParameterCollection Class
  • ParameterVector Class
  • PolynomialRegressionModel Class
  • RankTiebreaker Enumeration
  • RegressionModel Class
  • RegularizedRegressionModel Class
  • ScaleFittingMethod Enumeration
  • SeriesExtensions Class
  • SimpleRegressionKind Enumeration
  • SimpleRegressionModel Class
  • SortOrder Enumeration
  • SpecialBins Enumeration
  • Stats Class
  • StepwiseCriterion Enumeration
  • StepwiseOptions Class
  • StepwiseRegressionMethod Enumeration
  • SumsOfSquaresType Enumeration
  • TestOfHomogeneityOfVariances Enumeration
  • TestOfNormality Enumeration
  • TransformationModel Class
  • TransformedParameter Class
  • TwoWayAnovaModel Class
  • UnivariateModel Class
  • Variable Class
  • VariableCollection Class
  • WindowFilter Class
• ContingencyTableCell Structure
  • Properties
  • ContingencyTableCell Methods
  • Fields
• Properties
  • AdjustedStandardizedResidual Property
  • ChiSquare Property
  • ColumnLevel Property
  • Count Property
  • ExpectedCount Property
  • RelativeFrequency Property
  • RelativeFrequencyInColumn Property
  • RelativeFrequencyInRow Property
  • RelativePercentage Property
  • RelativePercentageInColumn Property
  • RelativePercentageInRow Property
  • Residual Property
  • RowLevel Property
  • StandardizedResidual Property

ContingencyTableCell Properties

Extreme Optimization Numerical Libraries for .NET Professional

The ContingencyTableCell type exposes the following members.

Properties

---

	Name	Description
	AdjustedStandardizedResidual	Gets the standardized difference between the expected and the actual count in the cell of the contingency table.
	ChiSquare	Gets the contribution of the cell to the Chi-square statistic of the contingency table.
	ColumnLevel	Gets the level of the column containing the cell.
	Count	Gets the number of observations in the cell.
	ExpectedCount	Gets the expected count of the cell based on the row and column totals of the contigency table.
	RelativeFrequency	Gets the relative frequency of the cell in the ContingencyTableCell.
	RelativeFrequencyInColumn	Gets the frequency of the cell relative to the other cells in the same column of the contingency table.
	RelativeFrequencyInRow	Gets the frequency of the cell relative to the other cells in the same row of the contingency table.
	RelativePercentage	Gets the relative percentage of the cell in the ContingencyTableCell.
	RelativePercentageInColumn	Gets the percentage of the cell relative to the other cells in the same column of the contingency table.
	RelativePercentageInRow	Gets the percentage of the cell relative to the other cells in the same row of the contingency table.
	Residual	Gets the difference between the expected and the actual count in the cell of the contingency table.
	RowLevel	Gets the level of the row containing the cell.
	StandardizedResidual	Gets the standardized difference between the expected and the actual count in the cell of the contingency table.

Top

See Also

---

Reference

ContingencyTableCell Structure

Extreme.Statistics Namespace

Copyright © 2004-20116, Extreme Optimization. All rights reserved.
Extreme Optimization, Complexity made simple, M#, and M Sharp are trademarks of ExoAnalytics Inc.
Microsoft, Visual C#, Visual Basic, Visual Studio, Visual Studio.NET, and the Optimized for Visual Studio logo
are registered trademarks of Microsoft Corporation.