GeneralStatistics Class Reference

General statistics for Annotation Pro helper More...

Public Member Functions
	GeneralStatistics ()
	Standard constructor More...
XYValue	LinearRegression (List< XYValue > values)
	Linear regression calculates a and b in y = ax + b More...

Static Public Member Functions
static double	EuclideanDistance (double[] x, double[] y)
	Estimates the Squared Euclidian distance between two tuples. x and y must have the same length. More...
static void	LinearRegression (double[] xVals, double[] yVals, out double rsquared, out double yintercept, out double slope)
	Fits a line to a collection of (x,y) points. More...
static double	Mean (List< double > values)
	Mean from vector of double values More...
static double	nPVI (double[] values)
	Normalized Pairwise Variability Index More...
static double	rPVI (double[] values)
	Raw Pairwise Variability Index More...
static double	Sum (List< double > values)
	Sum from vector of double values More...

Detailed Description

General statistics for Annotation Pro helper

Constructor & Destructor Documentation

GeneralStatistics()

GeneralStatistics ( )

inline

Standard constructor

Member Function Documentation

EuclideanDistance()

static double EuclideanDistance ( double []  x, double []  y  )

inlinestatic

Estimates the Squared Euclidian distance between two tuples. x and y must have the same length.

LinearRegression() [1/2]

static void LinearRegression ( double []  xVals, double []  yVals, out double  rsquared, out double  yintercept, out double  slope  )

inlinestatic

Fits a line to a collection of (x,y) points.

Parameters

xVals	The x-axis values.
yVals	The y-axis values.
rsquared	The r^2 value of the line.
yintercept	The y-intercept value of the line (i.e. y = ax + b, yintercept is b).
slope	The slop of the line (i.e. y = ax + b, slope is a).

LinearRegression() [2/2]

XYValue LinearRegression ( List< XYValue >  values )

inline

Linear regression calculates a and b in y = ax + b

Parameters

values

List of (x,y) values

Returns

(x,y) value, where x - slope, y - intercept

Mean()

static double Mean ( List< double >  values )

inlinestatic

Mean from vector of double values

Parameters

values

List of double values

Returns

Mean

nPVI()

static double nPVI ( double []  values )

inlinestatic

Normalized Pairwise Variability Index

Parameters

values

Array of double input values

Returns

nPVI

rPVI()

static double rPVI ( double []  values )

inlinestatic

Raw Pairwise Variability Index

Parameters

values

Array of double input values

Returns

rPVI value

Sum()

static double Sum ( List< double >  values )

inlinestatic

Sum from vector of double values

Parameters

values

List of double values

Returns

Sum

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

• AnnotationPro.Statistics/GeneralStatistics.cs