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Posted to dev@commons.apache.org by md...@apache.org on 2003/06/18 17:59:55 UTC
cvs commit: jakarta-commons-sandbox/math/src/test/org/apache/commons/math/stat StatUtilsTest.java
mdiggory 2003/06/18 08:59:55
Added: math/src/test/org/apache/commons/math/stat
StatUtilsTest.java
Log:
Initial Deposit for StatUtils unit testing, this was derived from StoreUnivariateImplTest.
Revision Changes Path
1.1 jakarta-commons-sandbox/math/src/test/org/apache/commons/math/stat/StatUtilsTest.java
Index: StatUtilsTest.java
===================================================================
/* ====================================================================
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* any, must include the following acknowlegement:
* "This product includes software developed by the
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*/
package org.apache.commons.math.stat;
import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;
/**
* Test cases for the {@link StatUtils} class.
*
* @author <a href="mailto:phil@steitz.com">Phil Steitz</a>
* @author <a href="mailto:mdiggory@apache.org">Mark Diggory</a>
* @version $Revision: 1.1 $ $Date: 2003/06/18 15:59:55 $
*/
public final class StatUtilsTest extends TestCase {
private double one = 1;
private float two = 2;
private int three = 3;
private double mean = 2;
private double sumSq = 18;
private double sum = 8;
private double var = 0.666666666666666666667;
private double std = Math.sqrt(var);
private double n = 4;
private double min = 1;
private double max = 3;
private double skewness = 0;
private double kurtosis = 0.5;
private int kClass = StoreUnivariate.LEPTOKURTIC;
private double tolerance = 10E-15;
public StatUtilsTest(String name) {
super(name);
}
public void setUp() {
}
public static Test suite() {
TestSuite suite = new TestSuite(StatUtilsTest.class);
suite.setName("StatUtil Tests");
return suite;
}
/** test stats */
public void testStats() {
double[] values = new double[] { one, two, two, three };
assertEquals("sum", sum, StatUtils.sum(values), tolerance);
assertEquals("sumsq", sumSq, StatUtils.sumSq(values), tolerance);
assertEquals("var", var, StatUtils.variance(values), tolerance);
assertEquals(
"std",
std,
StatUtils.standardDeviation(values),
tolerance);
assertEquals("mean", mean, StatUtils.mean(values), tolerance);
assertEquals("min", min, StatUtils.min(values), tolerance);
assertEquals("max", max, StatUtils.max(values), tolerance);
}
public void testN0andN1Conditions() throws Exception {
double[] values = new double[0];
assertTrue(
"Mean of n = 0 set should be NaN",
Double.isNaN(StatUtils.mean(values)));
assertTrue(
"Standard Deviation of n = 0 set should be NaN",
Double.isNaN(StatUtils.standardDeviation(values)));
assertTrue(
"Variance of n = 0 set should be NaN",
Double.isNaN(StatUtils.variance(values)));
values = new double[] { one };
assertTrue(
"Mean of n = 1 set should be value of single item n1",
StatUtils.mean(values) == one);
assertTrue(
"StdDev of n = 1 set should be zero, instead it is: "
+ StatUtils.standardDeviation(values),
StatUtils.standardDeviation(values) == 0);
assertTrue(
"Variance of n = 1 set should be zero",
StatUtils.variance(values) == 0);
}
public void testSkewAndKurtosis() {
double[] values =
{
12.5,
12,
11.8,
14.2,
14.9,
14.5,
21,
8.2,
10.3,
11.3,
14.1,
9.9,
12.2,
12,
12.1,
11,
19.8,
11,
10,
8.8,
9,
12.3 };
assertEquals("mean", 12.40455, StatUtils.mean(values), 0.0001);
assertEquals("variance", 10.00236, StatUtils.variance(values), 0.0001);
assertEquals("skewness", 1.437424, StatUtils.skewness(values), 0.0001);
assertEquals("kurtosis", 2.37719, StatUtils.kurtosis(values), 0.0001);
}
public void testProductAndGeometricMean() throws Exception {
double[] values = { 1.0, 2.0, 3.0, 4.0 };
assertEquals(
"Product not expected",
24.0,
StatUtils.product(values),
Double.MIN_VALUE);
assertEquals(
"Geometric mean not expected",
2.213364,
StatUtils.geometricMean(values),
0.00001);
}
}
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