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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
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    • LinearRegressionModel Class
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    • 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

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

  NameDescription
Public propertyCentralSumOfSquares
Gets the sum of squares of all the non-empty data values centered around the cell mean.
Public propertyCount
Gets the number of non-empty data values.
Public propertyMean
Gets the mean of all non-empty data values.
Public propertyStandardDeviation
Gets the biased standard deviation of all non-empty data values.
Public propertySum
Gets the sum of all non-empty data values.
Public propertySumOfSquares
Gets the sum of the squares of all non-empty data values.
Public propertyVariance
Gets the biased variance of all non-empty data values.
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Methods

  NameDescription
Public methodEquals
Indicates whether this instance and a specified object are equal.
(Inherited from ValueType.)
Public methodGetHashCode
Returns the hash code for this instance.
(Inherited from ValueType.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodToString
Returns the fully qualified type name of this instance.
(Overrides ValueTypeToString.)
Public methodStatic memberTotal
Returns a cell that combines the statistics in the specified list of cells.
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Operators

  NameDescription
Public operatorStatic memberAddition
Returns a new cell that contains the combined statistics for two cells.
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Fields

  NameDescription
Public fieldStatic memberAggregator
Gets the aggregator that computes cells.
Public fieldStatic memberAll Obsolete.
Special Index object that indicates an indexed property should be evaluated over all levels of the factor.
Public fieldStatic memberEmpty
Represents a cell with no data.
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Remarks

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

Reference

Extreme.Statistics Namespace

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