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  • 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
• Cell Structure
  • Properties
  • Methods
  • Operators
  • Fields

Cell Structure

Extreme Optimization Numerical Libraries for .NET Professional

Represents a data cell in an AnovaModel.

Namespace: Extreme.Statistics
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.16312.0)

Syntax

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C#

VB

C++

F#

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public struct Cell

Public Structure Cell

public value class Cell

[<SealedAttribute>]
type Cell =  struct end

The Cell type exposes the following members.

Properties

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	Name	Description
	CentralSumOfSquares	Gets the sum of squares of all the non-empty data values centered around the cell mean.
	Count	Gets the number of non-empty data values.
	Index	Gets the linearized index of the DataArrayElementT. (Inherited from DataArrayElementT.)
	Mean	Gets the mean of all non-empty data values.
	Parent	Gets the DataArrayT that is the parent of this DataArrayElementT. (Inherited from DataArrayElementT.)
	StandardDeviation	Gets the biased standard deviation of all non-empty data values.
	Sum	Gets the sum of all non-empty data values.
	SumOfSquares	Gets the sum of the squares of all non-empty data values.
	Value	Gets the total value of the observations in the cell.
	Variance	Gets the biased variance of all non-empty data values.

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Methods

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	Name	Description
	Equals(Object)	Indicates whether this instance and a specified object are equal. (Inherited from ValueType.)
	Equals(Object)	Determines whether two DataArrayElementT instances are equal. (Inherited from DataArrayElementT.)
	Equals(DataArrayElementT)	Determines whether two DataArrayElementT instances are equal. (Inherited from DataArrayElementT.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Returns the hash code for this instance. (Inherited from ValueType.)
	GetHashCode	Serves as a hash function for DataArrayElementT, suitable for use in hashing algorithms and data structures like a hash table. (Inherited from DataArrayElementT.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)
	ToString	Returns the fully qualified type name of this instance. (Overrides ValueTypeToString.)
	Total	Returns a cell that combines the statistics in the specified list of cells.

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Operators

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	Name	Description
	Addition	Returns a new cell that contains the combined statistics for two cells.

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Fields

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	Name	Description
	Aggregator	Gets the aggregator that computes cells.
	All	Obsolete. Special Index object that indicates an indexed property should be evaluated over all levels of the factor.
	Empty	Represents a cell with no data.

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Remarks

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A Cell object represents the data corresponding to a specific set of factor levels in an AnovaModel.

A cell objects exposes summary statistics for the data in the cell, including the Mean, StandardDeviation, and Variance.

Version Information

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Numerical Libraries

Supported in: 6.0, 5.x, 4.x

See Also

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Reference

Extreme.Statistics Namespace

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