trans.cel
Class SplineScalar

java.lang.Object
  trans.cel.SplineScalar

public class SplineScalar

extends java.lang.Object

Generates multiplicative scalars based on a set of points using a combination of a cubic spline for values within the provided points and linear regression for points outside the value range. Lagrange Interpolation might be something possibly more appropriate. Assumes that each sucessive point is >= than last.

Constructor Summary

SplineScalar(double[] modelPoints)
Assumes modelPoints are sorted min to max.

Method Summary

LinearRegression	getLeftLR()
double[]	getModelPoints()
LinearRegression	getRightLR()
CubicSpline	getSpline()
static void	main(java.lang.String[] test)
double	scalar(double testValue, SplineScalar testScalar) Use to calculate a scaler that when multiplied by the testValue brings the testValue up to the model.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SplineScalar

public SplineScalar(double[] modelPoints)

Assumes modelPoints are sorted min to max.

Parameters:

modelPoints - - the points that represent the average/ model you want to generate scalars for.

Method Detail

scalar

public double scalar(double testValue,
                     SplineScalar testScalar)

Use to calculate a scaler that when multiplied by the testValue brings the testValue up to the model.

Parameters:

testValue - a non zero double

Returns:

scaler x testValue = model.

main

public static void main(java.lang.String[] test)

getLeftLR

public LinearRegression getLeftLR()

getModelPoints

public double[] getModelPoints()

getRightLR

public LinearRegression getRightLR()

getSpline

public CubicSpline getSpline()