Example usage for org.apache.commons.math.random GaussianRandomGenerator nextNormalizedDouble

Introduction

In this page you can find the example usage for org.apache.commons.math.random GaussianRandomGenerator nextNormalizedDouble.

Prototype

public double nextNormalizedDouble() 

Source Link

Document

Generate a random scalar with null mean and unit standard deviation.

Usage

From source file:org.apache.metron.common.math.stats.OnlineStatisticsProviderTest.java

@Test
public void testNormallyDistributedRandomData() {
    List<Double> values = new ArrayList<>();
    GaussianRandomGenerator gaussian = new GaussianRandomGenerator(new MersenneTwister(0L));
    for (int i = 0; i < 1000000; ++i) {
        double d = gaussian.nextNormalizedDouble();
        values.add(d);/*from  w  w w. ja  v a2s  .c o  m*/
    }
    validateEquality(values);
}

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From source file:org.apache.metron.common.math.stats.OnlineStatisticsProviderTest.java

@Test
public void testNormallyDistributedRandomDataShifted() {
    List<Double> values = new ArrayList<>();
    GaussianRandomGenerator gaussian = new GaussianRandomGenerator(new MersenneTwister(0L));
    for (int i = 0; i < 1000000; ++i) {
        double d = gaussian.nextNormalizedDouble() + 10;
        values.add(d);// ww w .j a  va 2 s  .  com
    }
    validateEquality(values);
}

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From source file:org.apache.metron.common.math.stats.OnlineStatisticsProviderTest.java

@Test
public void testNormallyDistributedRandomDataShiftedBackwards() {
    List<Double> values = new ArrayList<>();
    GaussianRandomGenerator gaussian = new GaussianRandomGenerator(new MersenneTwister(0L));
    for (int i = 0; i < 1000000; ++i) {
        double d = gaussian.nextNormalizedDouble() - 10;
        values.add(d);//from   w  w w.  j a v a2s  . c om
    }
    validateEquality(values);
}

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From source file:org.apache.metron.common.math.stats.OnlineStatisticsProviderTest.java

@Test
public void testNormallyDistributedRandomDataSkewed() {
    List<Double> values = new ArrayList<>();
    GaussianRandomGenerator gaussian = new GaussianRandomGenerator(new MersenneTwister(0L));
    for (int i = 0; i < 1000000; ++i) {
        double d = (gaussian.nextNormalizedDouble() + 10000) / 1000;
        values.add(d);//from   w  w  w .ja v a  2  s .co m
    }
    validateEquality(values);
}

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From source file:org.apache.metron.common.math.stats.OnlineStatisticsProviderTest.java

@Test
public void testNormallyDistributedRandomDataAllNegative() {
    List<Double> values = new ArrayList<>();
    GaussianRandomGenerator gaussian = new GaussianRandomGenerator(new MersenneTwister(0L));
    for (int i = 0; i < 1000000; ++i) {
        double d = -1 * gaussian.nextNormalizedDouble();
        values.add(d);/*from   w w  w  .j  a  v a  2  s . c  om*/
    }
    validateEquality(values);
}

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