Class Statistics

Inheritance

Object

Statistics

Namespace: BenchmarkDotNet.Mathematics

Assembly: BenchmarkDotNet.dll

Syntax

public class Statistics

Constructors

Statistics(IEnumerable<Double>)

Declaration

public Statistics(IEnumerable<double> values)

Parameters

Type	Name	Description
IEnumerable<Double>	values

Statistics(IEnumerable<Int32>)

Declaration

public Statistics(IEnumerable<int> values)

Parameters

Type	Name	Description
IEnumerable<Int32>	values

Statistics(Double[])

Declaration

public Statistics(params double[] values)

Parameters

Type	Name	Description
Double[]	values

Properties

AllOutliers

Declaration

public double[] AllOutliers { get; }

Property Value

Type	Description
Double[]

ConfidenceInterval

Declaration

public ConfidenceInterval ConfidenceInterval { get; }

Property Value

Type	Description
ConfidenceInterval

InterquartileRange

Declaration

public double InterquartileRange { get; }

Property Value

Type	Description
Double

Kurtosis

Declaration

public double Kurtosis { get; }

Property Value

Type	Description
Double

LowerFence

Declaration

public double LowerFence { get; }

Property Value

Type	Description
Double

LowerOutliers

Declaration

public double[] LowerOutliers { get; }

Property Value

Type	Description
Double[]

Max

Declaration

public double Max { get; }

Property Value

Type	Description
Double

Mean

Declaration

public double Mean { get; }

Property Value

Type	Description
Double

Median

Declaration

public double Median { get; }

Property Value

Type	Description
Double

Min

Declaration

public double Min { get; }

Property Value

Type	Description
Double

N

Declaration

public int N { get; }

Property Value

Type	Description
Int32

OriginalValues

Declaration

public IReadOnlyList<double> OriginalValues { get; }

Property Value

Type	Description
IReadOnlyList<Double>

Percentiles

Declaration

public PercentileValues Percentiles { get; }

Property Value

Type	Description
PercentileValues

Q1

Declaration

public double Q1 { get; }

Property Value

Type	Description
Double

Q3

Declaration

public double Q3 { get; }

Property Value

Type	Description
Double

Skewness

Declaration

public double Skewness { get; }

Property Value

Type	Description
Double

StandardDeviation

Declaration

public double StandardDeviation { get; }

Property Value

Type	Description
Double

StandardError

Declaration

public double StandardError { get; }

Property Value

Type	Description
Double

UpperFence

Declaration

public double UpperFence { get; }

Property Value

Type	Description
Double

UpperOutliers

Declaration

public double[] UpperOutliers { get; }

Property Value

Type	Description
Double[]

Variance

Declaration

public double Variance { get; }

Property Value

Type	Description
Double

Methods

CalcCentralMoment(Int32)

Declaration

public double CalcCentralMoment(int k)

Parameters

Type	Name	Description
Int32	k

Returns

Type	Description
Double

CanBeInverted()

Returns true, if this statistics can be inverted (see Invert()).

Declaration

public bool CanBeInverted()

Returns

Type	Description
Boolean

Divide(Statistics, Statistics)

Declaration

public static Statistics Divide(Statistics x, Statistics y)

Parameters

Type	Name	Description
Statistics	x
Statistics	y

Returns

Type	Description
Statistics

DivMean(Statistics, Statistics)

Mean for [X/Y].

Declaration

public static double DivMean(Statistics x, Statistics y)

Parameters

Type	Name	Description
Statistics	x
Statistics	y

Returns

Type	Description
Double

GetActualOutliers(OutlierMode)

Declaration

public double[] GetActualOutliers(OutlierMode outlierMode)

Parameters

Type	Name	Description
OutlierMode	outlierMode

Returns

Type	Description
Double[]

GetConfidenceInterval(ConfidenceLevel, Int32)

Declaration

public ConfidenceInterval GetConfidenceInterval(ConfidenceLevel level, int n)

Parameters

Type	Name	Description
ConfidenceLevel	level
Int32	n

Returns

Type	Description
ConfidenceInterval

Invert()

Statistics for [1/X]. If Min is less then or equal to 0, returns null.

Declaration

public Statistics Invert()

Returns

Type	Description
Statistics

IsActualOutlier(Double, OutlierMode)

Declaration

public bool IsActualOutlier(double value, OutlierMode outlierMode)

Parameters

Type	Name	Description
Double	value
OutlierMode	outlierMode

Returns

Type	Description
Boolean

IsLowerOutlier(Double)

Declaration

public bool IsLowerOutlier(double value)

Parameters

Type	Name	Description
Double	value

Returns

Type	Description
Boolean

IsOutlier(Double)

Declaration

public bool IsOutlier(double value)

Parameters

Type	Name	Description
Double	value

Returns

Type	Description
Boolean

IsUpperOutlier(Double)

Declaration

public bool IsUpperOutlier(double value)

Parameters

Type	Name	Description
Double	value

Returns

Type	Description
Boolean

MulMean(Statistics, Statistics)

Mean for [X*Y].

Declaration

public static double MulMean(Statistics x, Statistics y)

Parameters

Type	Name	Description
Statistics	x
Statistics	y

Returns

Type	Description
Double

ToString()

Declaration

public override string ToString()

Returns

Type	Description
String

Overrides

Object.ToString()

WithoutOutliers()

Declaration

public double[] WithoutOutliers()

Returns

Type	Description
Double[]

Extension Methods

StatisticsExtensions.CreateNanosecondFormatter(Statistics, CultureInfo, String)

StatisticsExtensions.ToString(Statistics, CultureInfo, Func<Double, String>, Boolean)