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• Extreme.Statistics
  • AnovaModel Class
  • AnovaModelRow Class
  • AnovaRow Class
  • AnovaRowType Enumeration
  • AnovaTable Class
  • Cell Structure
  • ContingencyTable Class
  • ContingencyTableCell Structure
  • DateTimeInterval Structure
  • Descriptives(T) Class
  • Filter Class
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  • KernelDensity Class
  • KernelDensityBandwidthEstimator Enumeration
  • LinearRegressionModel Class
  • LinkFunction Class
  • LogisticRegressionMethod Enumeration
  • LogisticRegressionModel Class
  • ModelFamily Class
  • NearestCorrelationMatrixAlgorithm Enumeration
  • NonlinearRegressionModel Class
  • OneWayAnovaModel Class
  • OneWayRAnovaModel Class
  • PolynomialRegressionModel Class
  • RegularizedRegressionModel Class
  • ScaleFittingMethod Enumeration
  • SimpleRegressionKind Enumeration
  • SimpleRegressionModel Class
  • Stats Class
  • StepwiseCriterion Enumeration
  • StepwiseOptions Class
  • StepwiseRegressionMethod Enumeration
  • SumsOfSquaresType Enumeration
  • TestOfHomogeneityOfVariances Enumeration
  • TestOfNormality Enumeration
  • TwoWayAnovaModel 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 (in Extreme.Numerics.dll) Version: 8.1.1

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.
	Mean	Gets the mean of all non-empty data values.
	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.
	Variance	Gets the biased variance of all non-empty data values.

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Methods

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	Name	Description
	Equals	Indicates whether this instance and a specified object are equal. (Inherited from ValueType.)
	GetHashCode	Returns the hash code for this instance. (Inherited from ValueType.)
	GetType	Gets the Type of the current instance. (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.

See Also

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Reference

Extreme.Statistics Namespace

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