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Added statistics missing from toString method in SummaryStatistics. 

JIRA: MATH-1147
This commit is contained in:
Phil Steitz 2014-10-03 10:59:44 -07:00
parent 97accb47de
commit e3dda4407a
3 changed files with 25 additions and 0 deletions
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3
src/changes/changes.xml
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@ -73,6 +73,9 @@ Users are encouraged to upgrade to this version as this release not
2. A few methods in the FastMath class are in fact slower that their
counterpart in either Math or StrictMath (cf. MATH-740 and MATH-901).
">
<action dev="psteitz" type="fix" issue="MATH-1147">
Added statistics missing from toString method in SummaryStatistics.
</action>
<action dev="tn" type="fix" issue="MATH-1152" due-to="Andras Sereny">
Improved performance of "EnumeratedDistribution#sample()" by caching
the cumulative probabilities and using binary rather than a linear search.

3
src/main/java/org/apache/commons/math3/stat/descriptive/SummaryStatistics.java
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@ -327,10 +327,13 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
outBuffer.append("n: ").append(getN()).append(endl);
outBuffer.append("min: ").append(getMin()).append(endl);
outBuffer.append("max: ").append(getMax()).append(endl);
outBuffer.append("sum: ").append(getSum()).append(endl);
outBuffer.append("mean: ").append(getMean()).append(endl);
outBuffer.append("geometric mean: ").append(getGeometricMean())
.append(endl);
outBuffer.append("variance: ").append(getVariance()).append(endl);
outBuffer.append("population variance: ").append(getPopulationVariance()).append(endl);
outBuffer.append("second moment: ").append(getSecondMoment()).append(endl);
outBuffer.append("sum of squares: ").append(getSumsq()).append(endl);
outBuffer.append("standard deviation: ").append(getStandardDeviation())
.append(endl);

19
src/test/java/org/apache/commons/math3/stat/descriptive/SummaryStatisticsTest.java
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@ -335,4 +335,23 @@ public class SummaryStatisticsTest {
}
Assert.assertEquals((new GeometricMean()).evaluate(scores),stats.getGeometricMean(), 0);
}
@Test
public void testToString() {
SummaryStatistics u = createSummaryStatistics();
for (int i = 0; i < 5; i++) {
u.addValue(i);
}
final String[] labels = {"min", "max", "sum", "geometric mean", "variance",
"population variance", "second moment", "sum of squares", "standard deviation",
"sum of logs"};
final double[] values = {u.getMin(), u.getMax(), u.getSum(), u.getGeometricMean(),
u.getVariance(), u.getPopulationVariance(), u.getSecondMoment(), u.getSumsq(),
u.getStandardDeviation(), u.getSumOfLogs()};
final String toString = u.toString();
Assert.assertTrue(toString.indexOf("n: " + u.getN()) > 0); // getN() returns a long
for (int i = 0; i < values.length; i++) {
Assert.assertTrue(toString.indexOf(labels[i] + ": " + String.valueOf(values[i])) > 0);
}
}
}