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removed references to the StatisticalMultivariateSummaryValues class 

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@620290 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Luc Maisonobe 2008-02-10 16:28:50 +00:00
parent 513804d9d4
commit 7953b0007a
1 changed files with 2 additions and 41 deletions
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43
src/test/org/apache/commons/math/stat/descriptive/MultivariateSummaryStatisticsTest.java
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@ -190,28 +190,12 @@ public class MultivariateSummaryStatisticsTest extends TestCase {
} }
public void testGetSummary() throws DimensionMismatchException {
MultivariateSummaryStatistics u = new MultivariateSummaryStatistics(2, true);
StatisticalMultivariateSummary summary = u.getSummary();
verifySummary(u, summary);
u.addValue(new double[] { 1, 2 });
summary = u.getSummary();
verifySummary(u, summary);
u.addValue(new double[] { 2, 5 });
summary = u.getSummary();
verifySummary(u, summary);
u.addValue(new double[] { 2, 2 });
summary = u.getSummary();
verifySummary(u, summary);
}
public void testSerialization() throws DimensionMismatchException { public void testSerialization() throws DimensionMismatchException {
MultivariateSummaryStatistics u = new MultivariateSummaryStatistics(2, true); MultivariateSummaryStatistics u = new MultivariateSummaryStatistics(2, true);
// Empty test // Empty test
TestUtils.checkSerializedEquality(u); TestUtils.checkSerializedEquality(u);
MultivariateSummaryStatistics s = (MultivariateSummaryStatistics) TestUtils.serializeAndRecover(u); MultivariateSummaryStatistics s = (MultivariateSummaryStatistics) TestUtils.serializeAndRecover(u);
StatisticalMultivariateSummary summary = s.getSummary(); assertEquals(u, s);
verifySummary(u, summary);
// Add some data // Add some data
u.addValue(new double[] { 2d, 1d }); u.addValue(new double[] { 2d, 1d });
@ -223,8 +207,7 @@ public class MultivariateSummaryStatisticsTest extends TestCase {
// Test again // Test again
TestUtils.checkSerializedEquality(u); TestUtils.checkSerializedEquality(u);
s = (MultivariateSummaryStatistics) TestUtils.serializeAndRecover(u); s = (MultivariateSummaryStatistics) TestUtils.serializeAndRecover(u);
summary = s.getSummary(); assertEquals(u, s);
verifySummary(u, summary);
} }
@ -269,26 +252,4 @@ public class MultivariateSummaryStatisticsTest extends TestCase {
assertEquals(emptyHash, u.hashCode()); assertEquals(emptyHash, u.hashCode());
} }
private void verifySummary(MultivariateSummaryStatistics u, StatisticalMultivariateSummary s) {
assertEquals(s.getN(), u.getN());
for (int i = 0; i < u.getDimension(); ++i) {
checkValue(s.getSum()[i], u.getSum()[i], 1.0e-10);
checkValue(s.getStandardDeviation()[i], u.getStandardDeviation()[i], 1.0e-10);
checkValue(s.getMean()[i], u.getMean()[i], 1.0e-10);
checkValue(s.getMin()[i], u.getMin()[i], 1.0e-10);
checkValue(s.getMax()[i], u.getMax()[i], 1.0e-10);
checkValue(s.getSumSq()[i], u.getSumSq()[i], 1.0e-10);
checkValue(s.getSumLog()[i], u.getSumLog()[i], 1.0e-10);
checkValue(s.getMax()[i], u.getMax()[i], 1.0e-10);
}
}
private void checkValue(double expected, double actual, double tolerance) {
if (Double.isNaN(expected)) {
assertTrue(Double.isNaN(actual));
} else {
assertEquals(expected, actual, tolerance);
}
}
} }