Example usage for org.jfree.data.statistics MeanAndStandardDeviation MeanAndStandardDeviation

Introduction

In this page you can find the example usage for org.jfree.data.statistics MeanAndStandardDeviation MeanAndStandardDeviation.

Prototype

public MeanAndStandardDeviation(Number mean, Number standardDeviation) 

Source Link

Document

Creates a new mean and standard deviation record.

Usage

From source file:org.jfree.data.statistics.MeanAndStandardDeviationTest.java

/**
 * Confirm that the equals method can distinguish all the required fields.
 *///  w w  w.j  a v a 2 s. c  o  m
@Test
public void testEquals() {
    MeanAndStandardDeviation m1 = new MeanAndStandardDeviation(1.2, 3.4);
    MeanAndStandardDeviation m2 = new MeanAndStandardDeviation(1.2, 3.4);
    assertTrue(m1.equals(m2));
    assertTrue(m2.equals(m1));

    m1 = new MeanAndStandardDeviation(1.0, 3.4);
    assertFalse(m1.equals(m2));
    m2 = new MeanAndStandardDeviation(1.0, 3.4);
    assertTrue(m1.equals(m2));

    m1 = new MeanAndStandardDeviation(1.0, 3.0);
    assertFalse(m1.equals(m2));
    m2 = new MeanAndStandardDeviation(1.0, 3.0);
    assertTrue(m1.equals(m2));
}

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From source file:org.jfree.data.statistics.MeanAndStandardDeviationTest.java

/**
 * Immutable class - should not be cloneable.
 *///  w ww. jav a  2  s  .co m
@Test
public void testCloning() {
    MeanAndStandardDeviation m1 = new MeanAndStandardDeviation(1.2, 3.4);
    assertFalse(m1 instanceof Cloneable);
}

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From source file:org.jfree.data.statistics.MeanAndStandardDeviationTest.java

/**
 * Serialize an instance, restore it, and check for equality.
 *//*from  ww w . j  a  va  2  s . co  m*/
@Test
public void testSerialization() {
    MeanAndStandardDeviation m1 = new MeanAndStandardDeviation(1.2, 3.4);
    MeanAndStandardDeviation m2 = (MeanAndStandardDeviation) TestUtilities.serialised(m1);
    assertEquals(m1, m2);
}

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From source file:org.jfree.data.statistics.DefaultStatisticalCategoryDataset.java

/**
 * Adds a mean and standard deviation to the table.
 *
 * @param mean  the mean.// www . j a va  2  s . c o m
 * @param standardDeviation  the standard deviation.
 * @param rowKey  the row key.
 * @param columnKey  the column key.
 */
public void add(Number mean, Number standardDeviation, Comparable rowKey, Comparable columnKey) {
    MeanAndStandardDeviation item = new MeanAndStandardDeviation(mean, standardDeviation);
    this.data.addObject(item, rowKey, columnKey);

    double m = Double.NaN;
    double sd = Double.NaN;
    if (mean != null) {
        m = mean.doubleValue();
    }
    if (standardDeviation != null) {
        sd = standardDeviation.doubleValue();
    }

    // update cached range values
    int r = this.data.getColumnIndex(columnKey);
    int c = this.data.getRowIndex(rowKey);
    if ((r == this.maximumRangeValueRow && c == this.maximumRangeValueColumn)
            || (r == this.maximumRangeValueIncStdDevRow && c == this.maximumRangeValueIncStdDevColumn)
            || (r == this.minimumRangeValueRow && c == this.minimumRangeValueColumn)
            || (r == this.minimumRangeValueIncStdDevRow && c == this.minimumRangeValueIncStdDevColumn)) {

        // iterate over all data items and update mins and maxes
        updateBounds();
    } else {
        if (!Double.isNaN(m)) {
            if (Double.isNaN(this.maximumRangeValue) || m > this.maximumRangeValue) {
                this.maximumRangeValue = m;
                this.maximumRangeValueRow = r;
                this.maximumRangeValueColumn = c;
            }
        }

        if (!Double.isNaN(m + sd)) {
            if (Double.isNaN(this.maximumRangeValueIncStdDev) || (m + sd) > this.maximumRangeValueIncStdDev) {
                this.maximumRangeValueIncStdDev = m + sd;
                this.maximumRangeValueIncStdDevRow = r;
                this.maximumRangeValueIncStdDevColumn = c;
            }
        }

        if (!Double.isNaN(m)) {
            if (Double.isNaN(this.minimumRangeValue) || m < this.minimumRangeValue) {
                this.minimumRangeValue = m;
                this.minimumRangeValueRow = r;
                this.minimumRangeValueColumn = c;
            }
        }

        if (!Double.isNaN(m - sd)) {
            if (Double.isNaN(this.minimumRangeValueIncStdDev) || (m - sd) < this.minimumRangeValueIncStdDev) {
                this.minimumRangeValueIncStdDev = m - sd;
                this.minimumRangeValueIncStdDevRow = r;
                this.minimumRangeValueIncStdDevColumn = c;
            }
        }
    }
    fireDatasetChanged();
}

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