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  • Extreme.Statistics
    • AnovaModel Class
    • AnovaModelRow Class
    • AnovaRow Class
    • AnovaRowType Enumeration
    • AnovaTable Class
    • Cell Structure
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  • Descriptives(T) Class
    • Descriptives(T) Constructor
    • Properties
    • Descriptives(T) Methods

DescriptivesT Class

Extreme Optimization Numerical Libraries for .NET Professional
Collects descriptive statistics for a variable.
Inheritance Hierarchy

SystemObject
  Extreme.StatisticsDescriptivesT

Namespace:  Extreme.Statistics
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax

C#
VB
C++
F#
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public class Descriptives<T>
Public Class Descriptives(Of T)
generic<typename T>
public ref class Descriptives
type Descriptives<'T> =  class end

Type Parameters

T

The DescriptivesT type exposes the following members.

Constructors

  NameDescription
Public methodDescriptivesT
Constructs a new descriptive statistics object.
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Properties

  NameDescription
Public propertyCentralSumOfSquares
Gets the sum of squares around the mean.
Public propertyCount
Gets the number of actual values.
Public propertyFirstQuartile
Gets the first quartile.
Public propertyHasCategoricalDescriptives
Gets whether the current instance contains statistics for categorical data.
Public propertyHasNumericalDescriptives
Gets whether the current instance contains statistics for numerical data.
Public propertyHasQuartiles
Gets whether the current instance contains quartiles.
Public propertyKurtosis
Gets the biased kurtosis (supplement).
Public propertyMaximum
Gets the largest value.
Public propertyMean
Gets the mean.
Public propertyMedian
Gets the median.
Public propertyMinimum
Gets the smallest value.
Public propertyMissingCount
Gets the number of missing values.
Public propertyMode
Gets the value that occurs most often.
Public propertyModeCount
Gets the num
Public propertyRange
Gets the difference between the largest and the smallest value.
Public propertySkewness
Gets the biased skewness.
Public propertyStandardDeviation
Gets the unbiased standard deviation.
Public propertySumOfSquares
Gets the sum of squares.
Public propertyThirdQuartile
Gets the third quartile.
Public propertyUnique
Gets the number of unique elements, excluding missing values.
Public propertyVariance
Gets the unbiased variance.
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Methods

  NameDescription
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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See Also

Reference

Extreme.Statistics Namespace

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