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removed tab characters that crept in at r776939 

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@778185 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Luc Maisonobe 2009-05-24 16:24:53 +00:00
parent d6d7d9cc79
commit 0b1ab10261
1 changed files with 160 additions and 160 deletions
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320
src/test/org/apache/commons/math/stat/ranking/NaturalRankingTest.java
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@ -30,174 +30,174 @@ import junit.framework.TestCase;
*/
public class NaturalRankingTest extends TestCase {
private final double[] exampleData = { 20, 17, 30, 42.3, 17, 50,
Double.NaN, Double.NEGATIVE_INFINITY, 17 };
private final double[] tiesFirst = { 0, 0, 2, 1, 4 };
private final double[] tiesLast = { 4, 4, 1, 0 };
private final double[] multipleNaNs = { 0, 1, Double.NaN, Double.NaN };
private final double[] multipleTies = { 3, 2, 5, 5, 6, 6, 1 };
private final double[] allSame = { 0, 0, 0, 0 };
private final double[] exampleData = { 20, 17, 30, 42.3, 17, 50,
Double.NaN, Double.NEGATIVE_INFINITY, 17 };
private final double[] tiesFirst = { 0, 0, 2, 1, 4 };
private final double[] tiesLast = { 4, 4, 1, 0 };
private final double[] multipleNaNs = { 0, 1, Double.NaN, Double.NaN };
private final double[] multipleTies = { 3, 2, 5, 5, 6, 6, 1 };
private final double[] allSame = { 0, 0, 0, 0 };
public NaturalRankingTest(String arg0) {
super(arg0);
}
public NaturalRankingTest(String arg0) {
super(arg0);
}
@Override
protected void setUp() throws Exception {
super.setUp();
}
@Override
protected void setUp() throws Exception {
super.setUp();
}
@Override
protected void tearDown() throws Exception {
super.tearDown();
}
@Override
protected void tearDown() throws Exception {
super.tearDown();
}
public void testDefault() { // Ties averaged, NaNs maximal
NaturalRanking ranking = new NaturalRanking();
double[] ranks = ranking.rank(exampleData);
double[] correctRanks = { 5, 3, 6, 7, 3, 8, 9, 1, 3 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesFirst);
correctRanks = new double[] { 1.5, 1.5, 4, 3, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesLast);
correctRanks = new double[] { 3.5, 3.5, 2, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleNaNs);
correctRanks = new double[] { 1, 2, 3.5, 3.5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleTies);
correctRanks = new double[] { 3, 2, 4.5, 4.5, 6.5, 6.5, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(allSame);
correctRanks = new double[] { 2.5, 2.5, 2.5, 2.5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
}
public void testDefault() { // Ties averaged, NaNs maximal
NaturalRanking ranking = new NaturalRanking();
double[] ranks = ranking.rank(exampleData);
double[] correctRanks = { 5, 3, 6, 7, 3, 8, 9, 1, 3 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesFirst);
correctRanks = new double[] { 1.5, 1.5, 4, 3, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesLast);
correctRanks = new double[] { 3.5, 3.5, 2, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleNaNs);
correctRanks = new double[] { 1, 2, 3.5, 3.5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleTies);
correctRanks = new double[] { 3, 2, 4.5, 4.5, 6.5, 6.5, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(allSame);
correctRanks = new double[] { 2.5, 2.5, 2.5, 2.5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
}
public void testNaNsMaximalTiesMinimum() {
NaturalRanking ranking = new NaturalRanking(TiesStrategy.MINIMUM);
double[] ranks = ranking.rank(exampleData);
double[] correctRanks = { 5, 2, 6, 7, 2, 8, 9, 1, 2 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesFirst);
correctRanks = new double[] { 1, 1, 4, 3, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesLast);
correctRanks = new double[] { 3, 3, 2, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleNaNs);
correctRanks = new double[] { 1, 2, 3, 3 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleTies);
correctRanks = new double[] { 3, 2, 4, 4, 6, 6, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(allSame);
correctRanks = new double[] { 1, 1, 1, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
}
public void testNaNsMaximalTiesMinimum() {
NaturalRanking ranking = new NaturalRanking(TiesStrategy.MINIMUM);
double[] ranks = ranking.rank(exampleData);
double[] correctRanks = { 5, 2, 6, 7, 2, 8, 9, 1, 2 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesFirst);
correctRanks = new double[] { 1, 1, 4, 3, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesLast);
correctRanks = new double[] { 3, 3, 2, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleNaNs);
correctRanks = new double[] { 1, 2, 3, 3 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleTies);
correctRanks = new double[] { 3, 2, 4, 4, 6, 6, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(allSame);
correctRanks = new double[] { 1, 1, 1, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
}
public void testNaNsRemovedTiesSequential() {
NaturalRanking ranking = new NaturalRanking(NaNStrategy.REMOVED,
TiesStrategy.SEQUENTIAL);
double[] ranks = ranking.rank(exampleData);
double[] correctRanks = { 5, 2, 6, 7, 3, 8, 1, 4 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesFirst);
correctRanks = new double[] { 1, 2, 4, 3, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesLast);
correctRanks = new double[] { 3, 4, 2, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleNaNs);
correctRanks = new double[] { 1, 2 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleTies);
correctRanks = new double[] { 3, 2, 4, 5, 6, 7, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(allSame);
correctRanks = new double[] { 1, 2, 3, 4 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
}
public void testNaNsRemovedTiesSequential() {
NaturalRanking ranking = new NaturalRanking(NaNStrategy.REMOVED,
TiesStrategy.SEQUENTIAL);
double[] ranks = ranking.rank(exampleData);
double[] correctRanks = { 5, 2, 6, 7, 3, 8, 1, 4 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesFirst);
correctRanks = new double[] { 1, 2, 4, 3, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesLast);
correctRanks = new double[] { 3, 4, 2, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleNaNs);
correctRanks = new double[] { 1, 2 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleTies);
correctRanks = new double[] { 3, 2, 4, 5, 6, 7, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(allSame);
correctRanks = new double[] { 1, 2, 3, 4 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
}
public void testNaNsMinimalTiesMaximum() {
NaturalRanking ranking = new NaturalRanking(NaNStrategy.MINIMAL,
TiesStrategy.MAXIMUM);
double[] ranks = ranking.rank(exampleData);
double[] correctRanks = { 6, 5, 7, 8, 5, 9, 2, 2, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesFirst);
correctRanks = new double[] { 2, 2, 4, 3, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesLast);
correctRanks = new double[] { 4, 4, 2, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleNaNs);
correctRanks = new double[] { 3, 4, 2, 2 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleTies);
correctRanks = new double[] { 3, 2, 5, 5, 7, 7, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(allSame);
correctRanks = new double[] { 4, 4, 4, 4 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
}
public void testNaNsMinimalTiesMaximum() {
NaturalRanking ranking = new NaturalRanking(NaNStrategy.MINIMAL,
TiesStrategy.MAXIMUM);
double[] ranks = ranking.rank(exampleData);
double[] correctRanks = { 6, 5, 7, 8, 5, 9, 2, 2, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesFirst);
correctRanks = new double[] { 2, 2, 4, 3, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesLast);
correctRanks = new double[] { 4, 4, 2, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleNaNs);
correctRanks = new double[] { 3, 4, 2, 2 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleTies);
correctRanks = new double[] { 3, 2, 5, 5, 7, 7, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(allSame);
correctRanks = new double[] { 4, 4, 4, 4 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
}
public void testNaNsMinimalTiesAverage() {
NaturalRanking ranking = new NaturalRanking(NaNStrategy.MINIMAL);
double[] ranks = ranking.rank(exampleData);
double[] correctRanks = { 6, 4, 7, 8, 4, 9, 1.5, 1.5, 4 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesFirst);
correctRanks = new double[] { 1.5, 1.5, 4, 3, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesLast);
correctRanks = new double[] { 3.5, 3.5, 2, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleNaNs);
correctRanks = new double[] { 3, 4, 1.5, 1.5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleTies);
correctRanks = new double[] { 3, 2, 4.5, 4.5, 6.5, 6.5, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(allSame);
correctRanks = new double[] { 2.5, 2.5, 2.5, 2.5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
}
public void testNaNsMinimalTiesAverage() {
NaturalRanking ranking = new NaturalRanking(NaNStrategy.MINIMAL);
double[] ranks = ranking.rank(exampleData);
double[] correctRanks = { 6, 4, 7, 8, 4, 9, 1.5, 1.5, 4 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesFirst);
correctRanks = new double[] { 1.5, 1.5, 4, 3, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesLast);
correctRanks = new double[] { 3.5, 3.5, 2, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleNaNs);
correctRanks = new double[] { 3, 4, 1.5, 1.5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleTies);
correctRanks = new double[] { 3, 2, 4.5, 4.5, 6.5, 6.5, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(allSame);
correctRanks = new double[] { 2.5, 2.5, 2.5, 2.5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
}
public void testNaNsFixedTiesRandom() {
RandomGenerator randomGenerator = new JDKRandomGenerator();
randomGenerator.setSeed(1000);
NaturalRanking ranking = new NaturalRanking(NaNStrategy.FIXED,
randomGenerator);
double[] ranks = ranking.rank(exampleData);
double[] correctRanks = { 5, 4, 6, 7, 3, 8, Double.NaN, 1, 4 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesFirst);
correctRanks = new double[] { 1, 1, 4, 3, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesLast);
correctRanks = new double[] { 3, 4, 2, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleNaNs);
correctRanks = new double[] { 1, 2, Double.NaN, Double.NaN };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleTies);
correctRanks = new double[] { 3, 2, 5, 5, 7, 6, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(allSame);
correctRanks = new double[] { 1, 3, 4, 4 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
}
public void testNaNsFixedTiesRandom() {
RandomGenerator randomGenerator = new JDKRandomGenerator();
randomGenerator.setSeed(1000);
NaturalRanking ranking = new NaturalRanking(NaNStrategy.FIXED,
randomGenerator);
double[] ranks = ranking.rank(exampleData);
double[] correctRanks = { 5, 4, 6, 7, 3, 8, Double.NaN, 1, 4 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesFirst);
correctRanks = new double[] { 1, 1, 4, 3, 5 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(tiesLast);
correctRanks = new double[] { 3, 4, 2, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleNaNs);
correctRanks = new double[] { 1, 2, Double.NaN, Double.NaN };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(multipleTies);
correctRanks = new double[] { 3, 2, 5, 5, 7, 6, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranks = ranking.rank(allSame);
correctRanks = new double[] { 1, 3, 4, 4 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
}
public void testNaNsAndInfs() {
double[] data = { 0, Double.POSITIVE_INFINITY, Double.NaN,
Double.NEGATIVE_INFINITY };
NaturalRanking ranking = new NaturalRanking(NaNStrategy.MAXIMAL);
double[] ranks = ranking.rank(data);
double[] correctRanks = new double[] { 2, 3.5, 3.5, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranking = new NaturalRanking(NaNStrategy.MINIMAL);
ranks = ranking.rank(data);
correctRanks = new double[] { 3, 4, 1.5, 1.5 };
}
public void testNaNsAndInfs() {
double[] data = { 0, Double.POSITIVE_INFINITY, Double.NaN,
Double.NEGATIVE_INFINITY };
NaturalRanking ranking = new NaturalRanking(NaNStrategy.MAXIMAL);
double[] ranks = ranking.rank(data);
double[] correctRanks = new double[] { 2, 3.5, 3.5, 1 };
TestUtils.assertEquals(correctRanks, ranks, 0d);
ranking = new NaturalRanking(NaNStrategy.MINIMAL);
ranks = ranking.rank(data);
correctRanks = new double[] { 3, 4, 1.5, 1.5 };
}
}