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//distributed with this work for additional information
//regarding copyright ownership. The ASF licenses this file
//to you under the Apache License, Version 2.0 (the
//"License"); you may not use this file except in compliance
//with the License. You may obtain a copy of the License at
//http://www.apache.org/licenses/LICENSE-2.0
//Unless required by applicable law or agreed to in writing,
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//specific language governing permissions and limitations
//under the License.
package org.apache.commons.math3.stat.descriptive.moment;
import org.apache.commons.math3.exception.DimensionMismatchException;
import org.apache.commons.math3.TestUtils;
import org.apache.commons.math3.linear.RealMatrix;
import org.junit.Test;
import org.junit.Assert;
public class VectorialCovarianceTest {
private double[][] points;
public VectorialCovarianceTest() {
points = new double[][] {
{ 1.2, 2.3, 4.5},
{-0.7, 2.3, 5.0},
{ 3.1, 0.0, -3.1},
{ 6.0, 1.2, 4.2},
{-0.7, 2.3, 5.0}
};
}
@Test
public void testMismatch() {
try {
new VectorialCovariance(8, true).increment(new double[5]);
Assert.fail("an exception should have been thrown");
} catch (DimensionMismatchException dme) {
Assert.assertEquals(5, dme.getArgument());
Assert.assertEquals(8, dme.getDimension());
}
}
@Test
public void testSimplistic() {
VectorialCovariance stat = new VectorialCovariance(2, true);
stat.increment(new double[] {-1.0, 1.0});
stat.increment(new double[] { 1.0, -1.0});
RealMatrix c = stat.getResult();
Assert.assertEquals( 2.0, c.getEntry(0, 0), 1.0e-12);
Assert.assertEquals(-2.0, c.getEntry(1, 0), 1.0e-12);
Assert.assertEquals( 2.0, c.getEntry(1, 1), 1.0e-12);
}
@Test
public void testBasicStats() {
VectorialCovariance stat = new VectorialCovariance(points[0].length, true);
for (int i = 0; i < points.length; ++i) {
stat.increment(points[i]);
}
Assert.assertEquals(points.length, stat.getN());
RealMatrix c = stat.getResult();
double[][] refC = new double[][] {
{ 8.0470, -1.9195, -3.4445},
{-1.9195, 1.0470, 3.2795},
{-3.4445, 3.2795, 12.2070}
};
for (int i = 0; i < c.getRowDimension(); ++i) {
for (int j = 0; j <= i; ++j) {
Assert.assertEquals(refC[i][j], c.getEntry(i, j), 1.0e-12);
}
}
}
@Test
public void testSerial(){
VectorialCovariance stat = new VectorialCovariance(points[0].length, true);
Assert.assertEquals(stat, TestUtils.serializeAndRecover(stat));
}
}