Revision: 6079
http://sourceforge.net/p/jump-pilot/code/6079
Author: ma15569
Date: 2019-01-12 07:43:22 +0000 (Sat, 12 Jan 2019)
Log Message:
-----------
Added count number of classes
Modified Paths:
--------------
core/trunk/src/com/vividsolutions/jump/util/StatisticIndices.java
Modified: core/trunk/src/com/vividsolutions/jump/util/StatisticIndices.java
===================================================================
--- core/trunk/src/com/vividsolutions/jump/util/StatisticIndices.java
2019-01-07 15:08:55 UTC (rev 6078)
+++ core/trunk/src/com/vividsolutions/jump/util/StatisticIndices.java
2019-01-12 07:43:22 UTC (rev 6079)
@@ -132,6 +132,7 @@
*/
import java.util.ArrayList;
import java.util.Arrays;
+import java.util.HashMap;
import java.util.List;
import com.vividsolutions.jump.I18N;
@@ -153,6 +154,8 @@
private double m_dKurt;
private int m_iCount;
private double m_dM2;
+ private int m_iClasses;
+ private HashMap<Double, Integer> counts;
public static String MAX = "Maximum";
public static String MIN = "Minimum";
@@ -169,6 +172,7 @@
public static String SKEWNESS = "Skewness";
public static String KURTOSIS = "Kurtosis";
public static String VARIANCE = "Variance";
+ public static String NUM_CLASSES = "Number of classes";
public StatisticIndices() {
@@ -186,6 +190,7 @@
m_dKurt = 0;// Kurtosis
m_iCount = 0; // number of samples
m_dMedian = 0;// median
+ m_iClasses = 0;//number of classes
}
/**
@@ -224,6 +229,8 @@
.get("com.vividsolutions.jump.util.StatisticIndices.Kurtosis");
StatisticIndices.VARIANCE = I18N
.get("com.vividsolutions.jump.util.StatisticIndices.variance");
+ StatisticIndices.NUM_CLASSES = I18N
+
.get("corg.openjump.core.ui.plugin.tools.statistics.ClassifyAttributesPlugin.Number-of-classes");
final List<String> classifierList = new ArrayList<String>();
classifierList.add(StatisticIndices.COUNT);
@@ -240,6 +247,7 @@
classifierList.add(StatisticIndices.RMS);
classifierList.add(StatisticIndices.SKEWNESS);
classifierList.add(StatisticIndices.KURTOSIS);
+ classifierList.add(StatisticIndices.NUM_CLASSES);
return classifierList;
}
@@ -263,6 +271,12 @@
m_dMin = Math.min(m_dMin, dValue);
m_dStdDev = Math.sqrt(m_dVariance);
m_dRMS = Math.sqrt(m_dRMS / m_iCount);
+ if (counts.containsKey(dValue)) {
+ counts.put(dValue, counts.get(dValue) + 1);
+ } else {
+ counts.put(dValue, 1);
+ m_iClasses++;
+ }
}
// Calculate Skewness and Kurtosis
// algorithms derived from
@@ -446,4 +460,15 @@
return m_dKurt;
}
+ /**
+ * Return the number of added values *
+ * less one to avoid to count class value = 0
+ * @return the number of classes
+ */
+ public int getClasses() {
+
+ return m_iClasses - 1;
+
+ }
+
}
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