From b224cbfcffc5deaa0aa43717c5032821e5e97f7e Mon Sep 17 00:00:00 2001
From: Phil Steitz <psteitz@apache.org>
Date: Tue, 18 May 2004 04:17:29 +0000
Subject: [PATCH] Initial commit -- value object representing statistical
 summary.

git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@141228 13f79535-47bb-0310-9956-ffa450edef68
---
 .../univariate/StatisticalSummaryValues.java  | 114 ++++++++++++++++++
 1 file changed, 114 insertions(+)
 create mode 100644 src/java/org/apache/commons/math/stat/univariate/StatisticalSummaryValues.java

diff --git a/src/java/org/apache/commons/math/stat/univariate/StatisticalSummaryValues.java b/src/java/org/apache/commons/math/stat/univariate/StatisticalSummaryValues.java
new file mode 100644
index 000000000..bb05fd68e
--- /dev/null
+++ b/src/java/org/apache/commons/math/stat/univariate/StatisticalSummaryValues.java
@@ -0,0 +1,114 @@
+/*
+ * 
+ * Copyright (c) 2004 The Apache Software Foundation. All rights reserved.
+ * 
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not
+ * use this file except in compliance with the License. You may obtain a copy
+ * of the License at
+ * 
+ * http://www.apache.org/licenses/LICENSE-2.0
+ * 
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+ * License for the specific language governing permissions and limitations
+ * under the License.
+ *  
+ */
+package org.apache.commons.math.stat.univariate;
+
+import java.io.Serializable;
+
+/**
+ *  Value object representing the results of a univariate statistical summary.
+ *
+ * @version $Revision: 1.1 $ $Date: 2004/05/18 04:17:29 $
+ */
+public class StatisticalSummaryValues implements Serializable, StatisticalSummary {
+   
+    /** Serialization id */
+    static final long serialVersionUID = -5108854841843722536L;
+
+    private double mean = Double.NaN;
+    private double variance = Double.NaN;
+    private long n = 0;
+    private double max = Double.NaN;
+    private double min = Double.NaN;
+    private double sum = Double.NaN;
+    
+    /**
+      * Constructor
+      * 
+      * @param mean
+      * @param variance
+      * @param n
+      * @param max
+      * @param min
+      * @param sum
+     */
+    public StatisticalSummaryValues(double mean, double variance, long n,
+        double max, double min, double sum) {
+        super();
+        this.mean = mean;
+        this.variance = variance;
+        this.n = n;
+        this.max = max;
+        this.min = min;
+        this.sum = sum;
+    }
+    
+    private StatisticalSummaryValues() {
+        super();
+    }
+
+    
+    /**
+     * @return Returns the max.
+     */
+    public double getMax() {
+        return max;
+    }
+
+    /**
+     * @return Returns the mean.
+     */
+    public double getMean() {
+        return mean;
+    }
+
+    /**
+     * @return Returns the min.
+     */
+    public double getMin() {
+        return min;
+    }
+
+    /**
+     * @return Returns the number of values.
+     */
+    public long getN() {
+        return n;
+    }
+
+    /**
+     * @return Returns the sum.
+     */
+    public double getSum() {
+        return sum;
+    }
+    
+    /**
+     * @return Returns the standard deviation
+     */
+    public double getStandardDeviation() {
+        return Math.sqrt(variance);
+    }
+
+    /**
+     * @return Returns the variance.
+     */
+    public double getVariance() {
+        return variance;
+    }
+
+}