Pre Issue 29012, getKurtosisClass() did not have a tolerance; therefore,

any non-zero kurtosis was consistently mesokurtic.  Instead of getting 
into this level of detail, getKurtosisClass() has been removed, it is a
subjective measure not appropriate for DescStat.


git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@141238 13f79535-47bb-0310-9956-ffa450edef68

src/java/org/apache/commons/math/stat/univariate/AbstractDescriptiveStatistics.java

@@ -31,7 +31,7 @@ import org.apache.commons.math.stat.univariate.summary.SumOfSquares;
 /**
  * Abstract superclass for DescriptiveStatistics implementations. 
  * 
- * @version $Revision: 1.2 $ $Date: 2004/05/03 14:32:25 $
+ * @version $Revision: 1.3 $ $Date: 2004/05/23 00:56:15 $
  */
 public abstract class AbstractDescriptiveStatistics
     extends DescriptiveStatistics {
@@ -100,21 +100,6 @@ public abstract class AbstractDescriptiveStatistics
     	return apply(new Kurtosis());
     }
 
-    /**
-     * @see org.apache.commons.math.stat.univariate.DescriptiveStatistics#getKurtosisClass()
-     */
-    public int getKurtosisClass() {
-    	int kClass = MESOKURTIC;
-
-    	double kurtosis = getKurtosis();
-    	if (kurtosis > 0) {
-    		kClass = LEPTOKURTIC;
-    	} else if (kurtosis < 0) {
-    		kClass = PLATYKURTIC;
-    	}
-    	return (kClass);
-    }
-
     /**
      * @see org.apache.commons.math.stat.univariate.DescriptiveStatistics#getMax()
      */

src/java/org/apache/commons/math/stat/univariate/DescriptiveStatistics.java

@@ -23,7 +23,7 @@ import org.apache.commons.discovery.tools.DiscoverClass;
 /**
  * Abstract factory class for univariate statistical summaries.
  * 
- * @version $Revision: 1.4 $ $Date: 2004/05/19 14:16:31 $
+ * @version $Revision: 1.5 $ $Date: 2004/05/23 00:56:15 $
  */
 public abstract class DescriptiveStatistics implements Serializable, StatisticalSummary {
 
@@ -83,19 +83,6 @@ public abstract class DescriptiveStatistics implements Serializable, Statistical
 	 */
 	public static final int INFINITE_WINDOW = -1;
 
-	/**
-	 * A LEPTOKURTIC set has a positive kurtosis (a high peak) 
-	 */
-	public static int LEPTOKURTIC = 1;
-	/**
-	 * A MESOKURTIC set has a kurtosis of 0 - it is a normal distribution
-	 */
-	public static int MESOKURTIC = 0;
-	/**
-	 * A PLATYKURTIC set has a negative kurtosis (a flat "peak")
-	 */
-	public static int PLATYKURTIC = -1;
-
 	/**
 	 * Adds the value to the set of numbers
 	 * @param v the value to be added 
@@ -147,17 +134,6 @@ public abstract class DescriptiveStatistics implements Serializable, Statistical
 	 */
 	public abstract double getKurtosis();
 
-	/**
-	 * Returns the Kurtosis "classification" a distribution can be 
-	 * leptokurtic (high peak), platykurtic (flat peak), 
-	 * or mesokurtic (zero kurtosis).  
-	 * 
-	 * @return A static constant defined in this interface, 
-	 *         StoredDeviation.LEPTOKURITC, StoredDeviation.PLATYKURTIC, or 
-	 *         StoredDeviation.MESOKURTIC
-	 */
-	public abstract int getKurtosisClass();
-    
 	/** 
 	 * Returns the maximum of the available values
 	 * @return The max or Double.NaN if no values have been added.

src/test/org/apache/commons/math/stat/StatUtilsTest.java

@@ -20,11 +20,10 @@ import junit.framework.TestCase;
 import junit.framework.TestSuite;
 
 import org.apache.commons.math.TestUtils;
-import org.apache.commons.math.stat.univariate.DescriptiveStatistics;
 
 /**
  * Test cases for the {@link StatUtils} class.
- * @version $Revision: 1.15 $ $Date: 2004/04/27 16:42:31 $
+ * @version $Revision: 1.16 $ $Date: 2004/05/23 00:56:15 $
  */
 
 public final class StatUtilsTest extends TestCase {
@@ -42,7 +41,6 @@ public final class StatUtilsTest extends TestCase {
     private double max = 3;
     private double skewness = 0;
     private double kurtosis = 0.5;
-    private int kClass = DescriptiveStatistics.LEPTOKURTIC;
     private double tolerance = 10E-15;
 
     public StatUtilsTest(String name) {

src/test/org/apache/commons/math/stat/univariate/DescriptiveStatisticsTest.java

@@ -26,7 +26,7 @@ import org.apache.commons.math.random.RandomDataImpl;
 /**
  * Test cases for the {@link Univariate} class.
  *
- * @version $Revision: 1.5 $ $Date: 2004/05/23 00:30:01 $
+ * @version $Revision: 1.6 $ $Date: 2004/05/23 00:56:15 $
  */
 
 public final class DescriptiveStatisticsTest extends TestCase {
@@ -43,7 +43,6 @@ public final class DescriptiveStatisticsTest extends TestCase {
     private double max = 3;
     private double skewness = 0;
     private double kurtosis = 0.5;
-    private int kClass = DescriptiveStatistics.LEPTOKURTIC;
     private double tolerance = 10E-15;
     
     public DescriptiveStatisticsTest(String name) {
@@ -408,30 +407,5 @@ public final class DescriptiveStatisticsTest extends TestCase {
         assertEquals(3.0, u.getMean(), tolerance);
     }
     
-    public void testKurtosisClass() {
-        DescriptiveStatistics u = DescriptiveStatistics.newInstance();
-        u.setWindowSize(5);
-        
-        u.addValue(1.0);
-        u.addValue(1.0);
-        u.addValue(2.0);
-        u.addValue(1.0);
-        u.addValue(1.0);
-        assertEquals(DescriptiveStatistics.LEPTOKURTIC, u.getKurtosisClass());
-        
-        u.addValue(1.0);
-        u.addValue(2.0);
-        u.addValue(2.0);
-        u.addValue(2.0);
-        u.addValue(1.0);
-        assertEquals(DescriptiveStatistics.PLATYKURTIC, u.getKurtosisClass());
-//        
-//        u.addValue(1.0);
-//        u.addValue(1.5);
-//        u.addValue(2.0912994180548905);
-//        u.addValue(1.5);
-//        u.addValue(1.0);
-//        assertEquals(DescriptiveStatistics.MESOKURTIC, u.getKurtosisClass());
-    }
 }
 

src/test/org/apache/commons/math/stat/univariate/ListUnivariateImplTest.java

@@ -25,7 +25,7 @@ import junit.framework.TestSuite;
 /**
  * Test cases for the {@link Univariate} class.
  *
- * @version $Revision: 1.1 $ $Date: 2004/04/12 02:27:50 $
+ * @version $Revision: 1.2 $ $Date: 2004/05/23 00:56:15 $
  */
 
 public final class ListUnivariateImplTest extends TestCase {
@@ -43,7 +43,6 @@ public final class ListUnivariateImplTest extends TestCase {
     private double max = 3;
     private double skewness = 0;
     private double kurtosis = 0.5;
-    private int kClass = DescriptiveStatistics.LEPTOKURTIC;
     private double tolerance = 10E-15;
     
     public ListUnivariateImplTest(String name) {

src/test/org/apache/commons/math/stat/univariate/MixedListUnivariateImplTest.java

@@ -27,7 +27,7 @@ import junit.framework.TestSuite;
 /**
  * Test cases for the {@link Univariate} class.
  *
- * @version $Revision: 1.1 $ $Date: 2004/04/12 02:27:50 $
+ * @version $Revision: 1.2 $ $Date: 2004/05/23 00:56:15 $
  */
 
 public final class MixedListUnivariateImplTest extends TestCase {
@@ -45,7 +45,6 @@ public final class MixedListUnivariateImplTest extends TestCase {
     private double max = 3;
     private double skewness = 0;
     private double kurtosis = 0.5;
-    private int kClass = DescriptiveStatistics.LEPTOKURTIC;
     private double tolerance = 10E-15;
 
     private TransformerMap transformers = new TransformerMap();

src/test/org/apache/commons/math/stat/univariate/StoreUnivariateImplTest.java

@@ -25,7 +25,7 @@ import org.apache.commons.math.random.RandomDataImpl;
 /**
  * Test cases for the {@link Univariate} class.
  *
- * @version $Revision: 1.1 $ $Date: 2004/04/12 02:27:50 $
+ * @version $Revision: 1.2 $ $Date: 2004/05/23 00:56:15 $
  */
 
 public final class StoreUnivariateImplTest extends TestCase {
@@ -42,7 +42,6 @@ public final class StoreUnivariateImplTest extends TestCase {
     private double max = 3;
     private double skewness = 0;
     private double kurtosis = 0.5;
-    private int kClass = DescriptiveStatistics.LEPTOKURTIC;
     private double tolerance = 10E-15;
     
     public StoreUnivariateImplTest(String name) {