Java Code Examples for org.apache.commons.math.random.RandomData#nextUniform()

The following examples show how to use org.apache.commons.math.random.RandomData#nextUniform() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are
 * uniformly distributed over [-100, 100].
 *
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;
}
Example 2
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are
 * uniformly distributed over [-100, 100].
 *
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;
}
Example 3
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are
 * uniformly distributed over [-100, 100].
 *
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;
}
Example 4
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are
 * uniformly distributed over [-100, 100].
 *
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;
}
Example 5
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are
 * uniformly distributed over [-100, 100].
 *
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;
}
Example 6
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are
 * uniformly distributed over [-100, 100].
 *
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;
}
Example 7
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are
 * uniformly distributed over [-100, 100].
 *
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;
}
Example 8
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are
 * uniformly distributed over [-100, 100].
 *
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;
}
Example 9
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are
 * uniformly distributed over [-100, 100].
 *
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;
}
Example 10
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are
 * uniformly distributed over [-100, 100].
 *
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;
}
Example 11
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are
 * uniformly distributed over [-100, 100].
 *
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;
}
Example 12
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are 
 * uniformly distributed over [-100, 100].
 * 
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;     
}
Example 13
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are 
 * uniformly distributed over [-100, 100].
 * 
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;     
}
Example 14
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are 
 * uniformly distributed over [-100, 100].
 * 
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;     
}
Example 15
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are
 * uniformly distributed over [-100, 100].
 *
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;
}
Example 16
Source File: AggregateSummaryStatisticsTest.java    From astor with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Generates a random sample of double values.
 * Sample size is random, between 10 and 100 and values are
 * uniformly distributed over [-100, 100].
 *
 * @return array of random double values
 */
private double[] generateSample() {
    final RandomData randomData = new RandomDataImpl();
    final int sampleSize = randomData.nextInt(10,100);
    double[] out = new double[sampleSize];
    for (int i = 0; i < out.length; i++) {
        out[i] = randomData.nextUniform(-100, 100);
    }
    return out;
}