Stats.Ranks Method

public static double[] Ranks(
	DateTime[] values
)

Public Shared Function Ranks ( 
	values As DateTime()
) As Double()

public:
static array<double>^ Ranks(
	array<DateTime>^ values
)

static member Ranks : 
        values : DateTime[] -> float[] 

Parameters

values  DateTime[]

A Double array.

Return Value

The smallest observation has rank 1. If several observations have the same value, then the average of the ranks is used. The rank for missing values is NaN.

public static double[] Ranks(
	double[] values
)

Public Shared Function Ranks ( 
	values As Double()
) As Double()

public:
static array<double>^ Ranks(
	array<double>^ values
)

static member Ranks : 
        values : float[] -> float[] 

Parameters

values  Double[]

A Double array.

Return Value

The smallest observation has rank 1. If several observations have the same value, then the average of the ranks is used. The rank for missing values is NaN.

public static Vector<double> Ranks(
	this Vector<double> values
)

<ExtensionAttribute>
Public Shared Function Ranks ( 
	values As Vector(Of Double)
) As Vector(Of Double)

public:
[ExtensionAttribute]
static Vector<double>^ Ranks(
	Vector<double>^ values
)

[<ExtensionAttribute>]
static member Ranks : 
        values : Vector<float> -> Vector<float> 

Parameters

values  Vector<Double>

A Double array.

Return Value

Usage Note

The smallest observation has rank 1. If several observations have the same value, then the average of the ranks is used. The rank for missing values is NaN.

public static double[] Ranks(
	DateTime[] values,
	RankTiebreaker tiebreaker,
	TimeSpan tolerance
)

Public Shared Function Ranks ( 
	values As DateTime(),
	tiebreaker As RankTiebreaker,
	tolerance As TimeSpan
) As Double()

public:
static array<double>^ Ranks(
	array<DateTime>^ values, 
	RankTiebreaker tiebreaker, 
	TimeSpan tolerance
)

static member Ranks : 
        values : DateTime[] * 
        tiebreaker : RankTiebreaker * 
        tolerance : TimeSpan -> float[] 

Parameters

values  DateTime[]

A Double array.

tiebreaker  RankTiebreaker

A RankTiebreaker value that specifies how to assign the ranks of tied observations.

tolerance  TimeSpan

A TimeSpan value that specifies the largest difference between values for which ranks should be considered tied.

Return Value

The smallest observation has rank 1. Observations that are within the value tolerance of each other are considered equal. If several values are equal, then the rank is assigned using the method specified by tiebreaker.

public static double[] Ranks(
	double[] values,
	RankTiebreaker tiebreaker,
	double tolerance
)

Public Shared Function Ranks ( 
	values As Double(),
	tiebreaker As RankTiebreaker,
	tolerance As Double
) As Double()

public:
static array<double>^ Ranks(
	array<double>^ values, 
	RankTiebreaker tiebreaker, 
	double tolerance
)

static member Ranks : 
        values : float[] * 
        tiebreaker : RankTiebreaker * 
        tolerance : float -> float[] 

Parameters

values  Double[]

A Double array.

tiebreaker  RankTiebreaker

A RankTiebreaker value that specifies how to assign the ranks of tied observations.

tolerance  Double

The

Return Value

The smallest observation has rank 1. Observations that are within the value tolerance of each other are considered equal. If several values are equal, then the rank is assigned using the method specified by tiebreaker. The rank for missing values is NaN.

public static Vector<double> Ranks(
	this Vector<double> values,
	RankTiebreaker tiebreaker,
	double tolerance
)

<ExtensionAttribute>
Public Shared Function Ranks ( 
	values As Vector(Of Double),
	tiebreaker As RankTiebreaker,
	tolerance As Double
) As Vector(Of Double)

public:
[ExtensionAttribute]
static Vector<double>^ Ranks(
	Vector<double>^ values, 
	RankTiebreaker tiebreaker, 
	double tolerance
)

[<ExtensionAttribute>]
static member Ranks : 
        values : Vector<float> * 
        tiebreaker : RankTiebreaker * 
        tolerance : float -> Vector<float> 

Parameters

values  Vector<Double>

A Double array.

tiebreaker  RankTiebreaker

A RankTiebreaker value that specifies how to assign the ranks of tied observations.

tolerance  Double

The

Return Value

Usage Note

The smallest observation has rank 1. Observations that are within the value tolerance of each other are considered equal. If several values are equal, then the rank is assigned using the method specified by tiebreaker. The rank for missing values is NaN.

Reference