jhplot.math
Class StatisticSample
java.lang.Object
jhplot.math.DoubleArray
jhplot.math.StatisticSample
public class StatisticSample
- extends DoubleArray
Method Summary |
static double[][] |
correlation(double[][] v)
|
static double[][] |
correlation(double[][] v1,
double[][] v2)
|
static double |
correlation(double[] v1,
double[] v2)
|
static double[][] |
covariance(double[][] v)
|
static double[][] |
covariance(double[][] v1,
double[][] v2)
|
static double |
covariance(double[] v1,
double[] v2)
|
static double[][] |
histogram_classes(double[] values,
int n)
|
static double[] |
histogram(double[] values,
double... bounds)
|
static double[] |
histogram(double[] values,
double min,
double max,
int n)
|
static double[] |
histogram(double[] values,
int n)
|
static double |
mean(double[] v)
|
static double[] |
mean(double[][] v)
|
static double[] |
randomBeta(int m,
double a,
double b)
|
static double[][] |
randomBeta(int m,
int n,
double a,
double b)
|
static double[] |
randomCauchy(int m,
double mu,
double sigma)
|
static double[][] |
randomCauchy(int m,
int n,
double mu,
double sigma)
|
static double[] |
randomChi2(int m,
int d)
|
static double[][] |
randomChi2(int m,
int n,
int d)
|
static double[] |
randomDirac(int m,
double[] values,
double[] prob)
|
static double[][] |
randomDirac(int m,
int n,
double[] values,
double[] prob)
|
static double[] |
randomExponential(int m,
double lambda)
|
static double[][] |
randomExponential(int m,
int n,
double lambda)
|
static double[] |
randomLogNormal(int m,
double mu,
double sigma)
|
static double[][] |
randomLogNormal(int m,
int n,
double mu,
double sigma)
|
static double[] |
randomNormal(int m,
double mu,
double sigma)
|
static double[][] |
randomNormal(int m,
int n,
double mu,
double sigma)
|
static double[] |
randomRejection(int m,
Function fun,
double maxFun,
double min,
double max)
|
static double[][] |
randomRejection(int m,
int n,
Function fun,
double maxFun,
double min,
double max)
|
static double[] |
randomTriangular(int m,
double min,
double max)
|
static double[] |
randomTriangular(int m,
double min,
double med,
double max)
|
static double[][] |
randomTriangular(int m,
int n,
double min,
double max)
|
static double[][] |
randomTriangular(int m,
int n,
double min,
double med,
double max)
|
static double[] |
randomWeibull(int m,
double lambda,
double c)
|
static double[][] |
randomWeibull(int m,
int n,
double lambda,
double c)
|
static double[] |
randUniform(int m,
double min,
double max)
|
static double[][] |
randUniform(int m,
int n,
double min,
double max)
|
static double |
stddeviation(double[] v)
|
static double[] |
stddeviation(double[][] v)
|
static double |
variance(double[] v)
|
static double[] |
variance(double[][] v)
|
Methods inherited from class jhplot.math.DoubleArray |
buildXY, buildXY, checkColumnDimension, checkLength, checkRowDimension, copy, copy, cumProduct, cumProduct, cumSum, cumSum, delete, deleteColumns, deleteColumnsRange, deleteRange, deleteRows, deleteRowsRange, f, f, findex, getColumnCopy, getColumnCopy, getColumnDimension, getColumnsCopy, getColumnsRangeCopy, getCopy, getRangeCopy, getRowCopy, getRowsCopy, getRowsRangeCopy, getSubMatrixRangeCopy, identity, increment, increment, increment, insert, insertColumn, insertColumns, insertRow, insertRows, isColumnDimension, isLength, isRowDimension, max, max, maxIndex, maxIndex, merge, mergeColumns, mergeRows, min, min, minIndex, minIndex, one, one, one, one, product, product, random, random, random, random, random, sort, sort, sum, sum, throwError, toString |
Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
StatisticSample
public StatisticSample()
randUniform
public static double[][] randUniform(int m,
int n,
double min,
double max)
randUniform
public static double[] randUniform(int m,
double min,
double max)
randomDirac
public static double[][] randomDirac(int m,
int n,
double[] values,
double[] prob)
randomDirac
public static double[] randomDirac(int m,
double[] values,
double[] prob)
randomNormal
public static double[][] randomNormal(int m,
int n,
double mu,
double sigma)
randomNormal
public static double[] randomNormal(int m,
double mu,
double sigma)
randomChi2
public static double[][] randomChi2(int m,
int n,
int d)
randomChi2
public static double[] randomChi2(int m,
int d)
randomLogNormal
public static double[][] randomLogNormal(int m,
int n,
double mu,
double sigma)
randomLogNormal
public static double[] randomLogNormal(int m,
double mu,
double sigma)
randomExponential
public static double[][] randomExponential(int m,
int n,
double lambda)
randomExponential
public static double[] randomExponential(int m,
double lambda)
randomTriangular
public static double[][] randomTriangular(int m,
int n,
double min,
double max)
randomTriangular
public static double[] randomTriangular(int m,
double min,
double max)
randomTriangular
public static double[][] randomTriangular(int m,
int n,
double min,
double med,
double max)
randomTriangular
public static double[] randomTriangular(int m,
double min,
double med,
double max)
randomBeta
public static double[][] randomBeta(int m,
int n,
double a,
double b)
randomBeta
public static double[] randomBeta(int m,
double a,
double b)
randomCauchy
public static double[][] randomCauchy(int m,
int n,
double mu,
double sigma)
randomCauchy
public static double[] randomCauchy(int m,
double mu,
double sigma)
randomWeibull
public static double[][] randomWeibull(int m,
int n,
double lambda,
double c)
randomWeibull
public static double[] randomWeibull(int m,
double lambda,
double c)
randomRejection
public static double[][] randomRejection(int m,
int n,
Function fun,
double maxFun,
double min,
double max)
randomRejection
public static double[] randomRejection(int m,
Function fun,
double maxFun,
double min,
double max)
mean
public static double mean(double[] v)
mean
public static double[] mean(double[][] v)
stddeviation
public static double stddeviation(double[] v)
variance
public static double variance(double[] v)
stddeviation
public static double[] stddeviation(double[][] v)
variance
public static double[] variance(double[][] v)
covariance
public static double covariance(double[] v1,
double[] v2)
covariance
public static double[][] covariance(double[][] v1,
double[][] v2)
covariance
public static double[][] covariance(double[][] v)
correlation
public static double correlation(double[] v1,
double[] v2)
correlation
public static double[][] correlation(double[][] v1,
double[][] v2)
correlation
public static double[][] correlation(double[][] v)
histogram_classes
public static double[][] histogram_classes(double[] values,
int n)
histogram
public static double[] histogram(double[] values,
double... bounds)
histogram
public static double[] histogram(double[] values,
double min,
double max,
int n)
histogram
public static double[] histogram(double[] values,
int n)
jHepWork 1.1 (C) Chekanov