jprotein.tools
Class Statistic

java.lang.Object
  extended by jprotein.tools.Statistic

public class Statistic
extends java.lang.Object


Constructor Summary
Statistic()
           
 
Method Summary
static double fNorm(double z)
           
static double max(java.util.Vector v)
           
static double mean(java.util.Vector v)
           
static double min(java.util.Vector v)
           
static java.util.Vector normalize(java.util.Vector v)
           
static double pNorm(double z)
           
static double pNorm(double z, double dz)
           
static java.util.Vector product(java.util.Vector v1, java.util.Vector v2)
           
static java.util.Vector resample(java.util.Vector v, int resampleSize)
           
static double standardError(java.util.Vector v)
           
static double zScore(double x, double mu, double sigma)
           
static double zToValue(double z, double mu, double sigma)
           
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

Statistic

public Statistic()
Method Detail

normalize

public static java.util.Vector normalize(java.util.Vector v)

standardError

public static double standardError(java.util.Vector v)

product

public static java.util.Vector product(java.util.Vector v1,
                                       java.util.Vector v2)

min

public static double min(java.util.Vector v)

max

public static double max(java.util.Vector v)

mean

public static double mean(java.util.Vector v)

resample

public static java.util.Vector resample(java.util.Vector v,
                                        int resampleSize)

pNorm

public static double pNorm(double z)

pNorm

public static double pNorm(double z,
                           double dz)

fNorm

public static double fNorm(double z)

zScore

public static double zScore(double x,
                            double mu,
                            double sigma)

zToValue

public static double zToValue(double z,
                              double mu,
                              double sigma)