jprotein.tools
Class Statistic
java.lang.Object
jprotein.tools.Statistic
public class Statistic
- extends java.lang.Object
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 |
Statistic
public Statistic()
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)