Sleipnir
Public Member Functions
Sleipnir::CMeasurePearsonSignificance Class Reference

Calculates the p-value of Pearson correlation between two vectors (centering ignored, weights used for correlation). More...

#include <measure.h>

Inheritance diagram for Sleipnir::CMeasurePearsonSignificance:
Sleipnir::IMeasure

Public Member Functions

double Measure (const float *adX, size_t iN, const float *adY, size_t iM, EMap eMap=EMapNone, const float *adWX=NULL, const float *adWY=NULL) const
 Calculate the measure between two given vectors with optional element weights.
const char * GetName () const
 Return the human-readable unique identifier of the measure type.
bool IsRank () const
 Return true if the measure requires rank-based integer inputs.
IMeasureClone () const
 Create a copy of the current measure object.

Detailed Description

Calculates the p-value of Pearson correlation between two vectors (centering ignored, weights used for correlation).

See also:
CMeasurePearson

Definition at line 726 of file measure.h.


Member Function Documentation

Create a copy of the current measure object.

Returns:
Copy of the current measure object.
Remarks:
Caller is, of course, responsible for destroying the created object.

Implements Sleipnir::IMeasure.

Definition at line 739 of file measure.h.

const char* Sleipnir::CMeasurePearsonSignificance::GetName ( ) const [inline, virtual]

Return the human-readable unique identifier of the measure type.

Returns:
The string identifier of the measure type.

Implements Sleipnir::IMeasure.

Definition at line 731 of file measure.h.

bool Sleipnir::CMeasurePearsonSignificance::IsRank ( ) const [inline, virtual]

Return true if the measure requires rank-based integer inputs.

Returns:
True if the measure requires rank-based input vectors.
Remarks:
The input vectors for rank measures should contain only floating point values with no fractional part; behavior is undefined if they don't.

Implements Sleipnir::IMeasure.

Definition at line 735 of file measure.h.

double Sleipnir::CMeasurePearsonSignificance::Measure ( const float *  adX,
size_t  iN,
const float *  adY,
size_t  iM,
EMap  eMap = EMapNone,
const float *  adWX = NULL,
const float *  adWY = NULL 
) const [virtual]

Calculate the measure between two given vectors with optional element weights.

Parameters:
adXFirst array of values.
iNLength of first array.
adYSecond array of values.
iMLength of second array.
eMapWay in which returned value should be centered (implementation-specific).
adWXIf non-null, weights of elements in the first array.
adWYIf non-null, weights of elements in the second array.
Returns:
Measure calculated between the two input vectors and, optionally, weights.
Remarks:
Pretty much every implementation will puke if given bad input; bounds checking etc. is minimal.

Implements Sleipnir::IMeasure.

Definition at line 939 of file measure.cpp.

References Sleipnir::IMeasure::EMapCenter, Sleipnir::IMeasure::EMapNone, Sleipnir::CMeta::GetNaN(), Sleipnir::CMeta::IsNaN(), Sleipnir::CMeasurePearson::Pearson(), and Sleipnir::CStatistics::TCDF().


The documentation for this class was generated from the following files: