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-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
"http://www.w3.org/TR/html4/loose.dtd">
-<html lang="en">
-<head>
-<title>Source code</title>
-<link rel="stylesheet" type="text/css"
href="../../../../../../../stylesheet.css" title="Style">
-</head>
-<body>
-<div class="sourceContainer">
-<pre><span class="sourceLineNo">001</span>/*<a name="line.1"></a>
-<span class="sourceLineNo">002</span> * Licensed to the Apache Software
Foundation (ASF) under one or more<a name="line.2"></a>
-<span class="sourceLineNo">003</span> * contributor license agreements. See
the NOTICE file distributed with<a name="line.3"></a>
-<span class="sourceLineNo">004</span> * this work for additional information
regarding copyright ownership.<a name="line.4"></a>
-<span class="sourceLineNo">005</span> * The ASF licenses this file to You
under the Apache License, Version 2.0<a name="line.5"></a>
-<span class="sourceLineNo">006</span> * (the "License"); you may not use this
file except in compliance with<a name="line.6"></a>
-<span class="sourceLineNo">007</span> * the License. You may obtain a copy of
the License at<a name="line.7"></a>
-<span class="sourceLineNo">008</span> *<a name="line.8"></a>
-<span class="sourceLineNo">009</span> *
http://www.apache.org/licenses/LICENSE-2.0<a name="line.9"></a>
-<span class="sourceLineNo">010</span> *<a name="line.10"></a>
-<span class="sourceLineNo">011</span> * Unless required by applicable law or
agreed to in writing, software<a name="line.11"></a>
-<span class="sourceLineNo">012</span> * distributed under the License is
distributed on an "AS IS" BASIS,<a name="line.12"></a>
-<span class="sourceLineNo">013</span> * WITHOUT WARRANTIES OR CONDITIONS OF
ANY KIND, either express or implied.<a name="line.13"></a>
-<span class="sourceLineNo">014</span> * See the License for the specific
language governing permissions and<a name="line.14"></a>
-<span class="sourceLineNo">015</span> * limitations under the License.<a
name="line.15"></a>
-<span class="sourceLineNo">016</span> */<a name="line.16"></a>
-<span class="sourceLineNo">017</span>package
org.apache.commons.math3.stat.descriptive;<a name="line.17"></a>
-<span class="sourceLineNo">018</span><a name="line.18"></a>
-<span class="sourceLineNo">019</span>import java.io.Serializable;<a
name="line.19"></a>
-<span class="sourceLineNo">020</span>import
java.lang.reflect.InvocationTargetException;<a name="line.20"></a>
-<span class="sourceLineNo">021</span>import java.util.Arrays;<a
name="line.21"></a>
-<span class="sourceLineNo">022</span><a name="line.22"></a>
-<span class="sourceLineNo">023</span>import
org.apache.commons.math3.exception.MathIllegalArgumentException;<a
name="line.23"></a>
-<span class="sourceLineNo">024</span>import
org.apache.commons.math3.exception.NullArgumentException;<a name="line.24"></a>
-<span class="sourceLineNo">025</span>import
org.apache.commons.math3.exception.MathIllegalStateException;<a
name="line.25"></a>
-<span class="sourceLineNo">026</span>import
org.apache.commons.math3.exception.util.LocalizedFormats;<a name="line.26"></a>
-<span class="sourceLineNo">027</span>import
org.apache.commons.math3.stat.descriptive.moment.GeometricMean;<a
name="line.27"></a>
-<span class="sourceLineNo">028</span>import
org.apache.commons.math3.stat.descriptive.moment.Kurtosis;<a name="line.28"></a>
-<span class="sourceLineNo">029</span>import
org.apache.commons.math3.stat.descriptive.moment.Mean;<a name="line.29"></a>
-<span class="sourceLineNo">030</span>import
org.apache.commons.math3.stat.descriptive.moment.Skewness;<a name="line.30"></a>
-<span class="sourceLineNo">031</span>import
org.apache.commons.math3.stat.descriptive.moment.Variance;<a name="line.31"></a>
-<span class="sourceLineNo">032</span>import
org.apache.commons.math3.stat.descriptive.rank.Max;<a name="line.32"></a>
-<span class="sourceLineNo">033</span>import
org.apache.commons.math3.stat.descriptive.rank.Min;<a name="line.33"></a>
-<span class="sourceLineNo">034</span>import
org.apache.commons.math3.stat.descriptive.rank.Percentile;<a name="line.34"></a>
-<span class="sourceLineNo">035</span>import
org.apache.commons.math3.stat.descriptive.summary.Sum;<a name="line.35"></a>
-<span class="sourceLineNo">036</span>import
org.apache.commons.math3.stat.descriptive.summary.SumOfSquares;<a
name="line.36"></a>
-<span class="sourceLineNo">037</span>import
org.apache.commons.math3.util.MathUtils;<a name="line.37"></a>
-<span class="sourceLineNo">038</span>import
org.apache.commons.math3.util.ResizableDoubleArray;<a name="line.38"></a>
-<span class="sourceLineNo">039</span>import
org.apache.commons.math3.util.FastMath;<a name="line.39"></a>
-<span class="sourceLineNo">040</span><a name="line.40"></a>
-<span class="sourceLineNo">041</span><a name="line.41"></a>
-<span class="sourceLineNo">042</span>/**<a name="line.42"></a>
-<span class="sourceLineNo">043</span> * Maintains a dataset of values of a
single variable and computes descriptive<a name="line.43"></a>
-<span class="sourceLineNo">044</span> * statistics based on stored data. The
{@link #getWindowSize() windowSize}<a name="line.44"></a>
-<span class="sourceLineNo">045</span> * property sets a limit on the number of
values that can be stored in the<a name="line.45"></a>
-<span class="sourceLineNo">046</span> * dataset. The default value,
INFINITE_WINDOW, puts no limit on the size of<a name="line.46"></a>
-<span class="sourceLineNo">047</span> * the dataset. This value should be
used with caution, as the backing store<a name="line.47"></a>
-<span class="sourceLineNo">048</span> * will grow without bound in this case.
For very large datasets,<a name="line.48"></a>
-<span class="sourceLineNo">049</span> * {@link SummaryStatistics}, which does
not store the dataset, should be used<a name="line.49"></a>
-<span class="sourceLineNo">050</span> * instead of this class. If
<code>windowSize</code> is not INFINITE_WINDOW and<a
name="line.50"></a>
-<span class="sourceLineNo">051</span> * more values are added than can be
stored in the dataset, new values are<a name="line.51"></a>
-<span class="sourceLineNo">052</span> * added in a "rolling" manner, with new
values replacing the "oldest" values<a name="line.52"></a>
-<span class="sourceLineNo">053</span> * in the dataset.<a name="line.53"></a>
-<span class="sourceLineNo">054</span> *<a name="line.54"></a>
-<span class="sourceLineNo">055</span> * <p>Note: this class is not
threadsafe. Use<a name="line.55"></a>
-<span class="sourceLineNo">056</span> * {@link
SynchronizedDescriptiveStatistics} if concurrent access from multiple<a
name="line.56"></a>
-<span class="sourceLineNo">057</span> * threads is required.</p><a
name="line.57"></a>
-<span class="sourceLineNo">058</span> *<a name="line.58"></a>
-<span class="sourceLineNo">059</span> */<a name="line.59"></a>
-<span class="sourceLineNo">060</span>public class DescriptiveStatistics
implements StatisticalSummary, Serializable {<a name="line.60"></a>
-<span class="sourceLineNo">061</span><a name="line.61"></a>
-<span class="sourceLineNo">062</span> /**<a name="line.62"></a>
-<span class="sourceLineNo">063</span> * Represents an infinite window
size. When the {@link #getWindowSize()}<a name="line.63"></a>
-<span class="sourceLineNo">064</span> * returns this value, there is no
limit to the number of data values<a name="line.64"></a>
-<span class="sourceLineNo">065</span> * that can be stored in the
dataset.<a name="line.65"></a>
-<span class="sourceLineNo">066</span> */<a name="line.66"></a>
-<span class="sourceLineNo">067</span> public static final int
INFINITE_WINDOW = -1;<a name="line.67"></a>
-<span class="sourceLineNo">068</span><a name="line.68"></a>
-<span class="sourceLineNo">069</span> /** Serialization UID */<a
name="line.69"></a>
-<span class="sourceLineNo">070</span> private static final long
serialVersionUID = 4133067267405273064L;<a name="line.70"></a>
-<span class="sourceLineNo">071</span><a name="line.71"></a>
-<span class="sourceLineNo">072</span> /** Name of the setQuantile method.
*/<a name="line.72"></a>
-<span class="sourceLineNo">073</span> private static final String
SET_QUANTILE_METHOD_NAME = "setQuantile";<a name="line.73"></a>
-<span class="sourceLineNo">074</span><a name="line.74"></a>
-<span class="sourceLineNo">075</span> /** hold the window size **/<a
name="line.75"></a>
-<span class="sourceLineNo">076</span> protected int windowSize =
INFINITE_WINDOW;<a name="line.76"></a>
-<span class="sourceLineNo">077</span><a name="line.77"></a>
-<span class="sourceLineNo">078</span> /**<a name="line.78"></a>
-<span class="sourceLineNo">079</span> * Stored data values<a
name="line.79"></a>
-<span class="sourceLineNo">080</span> */<a name="line.80"></a>
-<span class="sourceLineNo">081</span> private ResizableDoubleArray eDA =
new ResizableDoubleArray();<a name="line.81"></a>
-<span class="sourceLineNo">082</span><a name="line.82"></a>
-<span class="sourceLineNo">083</span> /** Mean statistic implementation -
can be reset by setter. */<a name="line.83"></a>
-<span class="sourceLineNo">084</span> private UnivariateStatistic meanImpl
= new Mean();<a name="line.84"></a>
-<span class="sourceLineNo">085</span><a name="line.85"></a>
-<span class="sourceLineNo">086</span> /** Geometric mean statistic
implementation - can be reset by setter. */<a name="line.86"></a>
-<span class="sourceLineNo">087</span> private UnivariateStatistic
geometricMeanImpl = new GeometricMean();<a name="line.87"></a>
-<span class="sourceLineNo">088</span><a name="line.88"></a>
-<span class="sourceLineNo">089</span> /** Kurtosis statistic implementation
- can be reset by setter. */<a name="line.89"></a>
-<span class="sourceLineNo">090</span> private UnivariateStatistic
kurtosisImpl = new Kurtosis();<a name="line.90"></a>
-<span class="sourceLineNo">091</span><a name="line.91"></a>
-<span class="sourceLineNo">092</span> /** Maximum statistic implementation
- can be reset by setter. */<a name="line.92"></a>
-<span class="sourceLineNo">093</span> private UnivariateStatistic maxImpl =
new Max();<a name="line.93"></a>
-<span class="sourceLineNo">094</span><a name="line.94"></a>
-<span class="sourceLineNo">095</span> /** Minimum statistic implementation
- can be reset by setter. */<a name="line.95"></a>
-<span class="sourceLineNo">096</span> private UnivariateStatistic minImpl =
new Min();<a name="line.96"></a>
-<span class="sourceLineNo">097</span><a name="line.97"></a>
-<span class="sourceLineNo">098</span> /** Percentile statistic
implementation - can be reset by setter. */<a name="line.98"></a>
-<span class="sourceLineNo">099</span> private UnivariateStatistic
percentileImpl = new Percentile();<a name="line.99"></a>
-<span class="sourceLineNo">100</span><a name="line.100"></a>
-<span class="sourceLineNo">101</span> /** Skewness statistic implementation
- can be reset by setter. */<a name="line.101"></a>
-<span class="sourceLineNo">102</span> private UnivariateStatistic
skewnessImpl = new Skewness();<a name="line.102"></a>
-<span class="sourceLineNo">103</span><a name="line.103"></a>
-<span class="sourceLineNo">104</span> /** Variance statistic implementation
- can be reset by setter. */<a name="line.104"></a>
-<span class="sourceLineNo">105</span> private UnivariateStatistic
varianceImpl = new Variance();<a name="line.105"></a>
-<span class="sourceLineNo">106</span><a name="line.106"></a>
-<span class="sourceLineNo">107</span> /** Sum of squares statistic
implementation - can be reset by setter. */<a name="line.107"></a>
-<span class="sourceLineNo">108</span> private UnivariateStatistic sumsqImpl
= new SumOfSquares();<a name="line.108"></a>
-<span class="sourceLineNo">109</span><a name="line.109"></a>
-<span class="sourceLineNo">110</span> /** Sum statistic implementation -
can be reset by setter. */<a name="line.110"></a>
-<span class="sourceLineNo">111</span> private UnivariateStatistic sumImpl =
new Sum();<a name="line.111"></a>
-<span class="sourceLineNo">112</span><a name="line.112"></a>
-<span class="sourceLineNo">113</span> /**<a name="line.113"></a>
-<span class="sourceLineNo">114</span> * Construct a DescriptiveStatistics
instance with an infinite window<a name="line.114"></a>
-<span class="sourceLineNo">115</span> */<a name="line.115"></a>
-<span class="sourceLineNo">116</span> public DescriptiveStatistics() {<a
name="line.116"></a>
-<span class="sourceLineNo">117</span> }<a name="line.117"></a>
-<span class="sourceLineNo">118</span><a name="line.118"></a>
-<span class="sourceLineNo">119</span> /**<a name="line.119"></a>
-<span class="sourceLineNo">120</span> * Construct a DescriptiveStatistics
instance with the specified window<a name="line.120"></a>
-<span class="sourceLineNo">121</span> *<a name="line.121"></a>
-<span class="sourceLineNo">122</span> * @param window the window size.<a
name="line.122"></a>
-<span class="sourceLineNo">123</span> * @throws
MathIllegalArgumentException if window size is less than 1 but<a
name="line.123"></a>
-<span class="sourceLineNo">124</span> * not equal to {@link
#INFINITE_WINDOW}<a name="line.124"></a>
-<span class="sourceLineNo">125</span> */<a name="line.125"></a>
-<span class="sourceLineNo">126</span> public DescriptiveStatistics(int
window) throws MathIllegalArgumentException {<a name="line.126"></a>
-<span class="sourceLineNo">127</span> setWindowSize(window);<a
name="line.127"></a>
-<span class="sourceLineNo">128</span> }<a name="line.128"></a>
-<span class="sourceLineNo">129</span><a name="line.129"></a>
-<span class="sourceLineNo">130</span> /**<a name="line.130"></a>
-<span class="sourceLineNo">131</span> * Construct a DescriptiveStatistics
instance with an infinite window<a name="line.131"></a>
-<span class="sourceLineNo">132</span> * and the initial data values in
double[] initialDoubleArray.<a name="line.132"></a>
-<span class="sourceLineNo">133</span> * If initialDoubleArray is null,
then this constructor corresponds to<a name="line.133"></a>
-<span class="sourceLineNo">134</span> * DescriptiveStatistics()<a
name="line.134"></a>
-<span class="sourceLineNo">135</span> *<a name="line.135"></a>
-<span class="sourceLineNo">136</span> * @param initialDoubleArray the
initial double[].<a name="line.136"></a>
-<span class="sourceLineNo">137</span> */<a name="line.137"></a>
-<span class="sourceLineNo">138</span> public DescriptiveStatistics(double[]
initialDoubleArray) {<a name="line.138"></a>
-<span class="sourceLineNo">139</span> if (initialDoubleArray != null)
{<a name="line.139"></a>
-<span class="sourceLineNo">140</span> eDA = new
ResizableDoubleArray(initialDoubleArray);<a name="line.140"></a>
-<span class="sourceLineNo">141</span> }<a name="line.141"></a>
-<span class="sourceLineNo">142</span> }<a name="line.142"></a>
-<span class="sourceLineNo">143</span><a name="line.143"></a>
-<span class="sourceLineNo">144</span> /**<a name="line.144"></a>
-<span class="sourceLineNo">145</span> * Copy constructor. Construct a new
DescriptiveStatistics instance that<a name="line.145"></a>
-<span class="sourceLineNo">146</span> * is a copy of original.<a
name="line.146"></a>
-<span class="sourceLineNo">147</span> *<a name="line.147"></a>
-<span class="sourceLineNo">148</span> * @param original
DescriptiveStatistics instance to copy<a name="line.148"></a>
-<span class="sourceLineNo">149</span> * @throws NullArgumentException if
original is null<a name="line.149"></a>
-<span class="sourceLineNo">150</span> */<a name="line.150"></a>
-<span class="sourceLineNo">151</span> public
DescriptiveStatistics(DescriptiveStatistics original) throws
NullArgumentException {<a name="line.151"></a>
-<span class="sourceLineNo">152</span> copy(original, this);<a
name="line.152"></a>
-<span class="sourceLineNo">153</span> }<a name="line.153"></a>
-<span class="sourceLineNo">154</span><a name="line.154"></a>
-<span class="sourceLineNo">155</span> /**<a name="line.155"></a>
-<span class="sourceLineNo">156</span> * Adds the value to the dataset. If
the dataset is at the maximum size<a name="line.156"></a>
-<span class="sourceLineNo">157</span> * (i.e., the number of stored
elements equals the currently configured<a name="line.157"></a>
-<span class="sourceLineNo">158</span> * windowSize), the first (oldest)
element in the dataset is discarded<a name="line.158"></a>
-<span class="sourceLineNo">159</span> * to make room for the new value.<a
name="line.159"></a>
-<span class="sourceLineNo">160</span> *<a name="line.160"></a>
-<span class="sourceLineNo">161</span> * @param v the value to be added<a
name="line.161"></a>
-<span class="sourceLineNo">162</span> */<a name="line.162"></a>
-<span class="sourceLineNo">163</span> public void addValue(double v) {<a
name="line.163"></a>
-<span class="sourceLineNo">164</span> if (windowSize !=
INFINITE_WINDOW) {<a name="line.164"></a>
-<span class="sourceLineNo">165</span> if (getN() == windowSize) {<a
name="line.165"></a>
-<span class="sourceLineNo">166</span>
eDA.addElementRolling(v);<a name="line.166"></a>
-<span class="sourceLineNo">167</span> } else if (getN() <
windowSize) {<a name="line.167"></a>
-<span class="sourceLineNo">168</span> eDA.addElement(v);<a
name="line.168"></a>
-<span class="sourceLineNo">169</span> }<a name="line.169"></a>
-<span class="sourceLineNo">170</span> } else {<a name="line.170"></a>
-<span class="sourceLineNo">171</span> eDA.addElement(v);<a
name="line.171"></a>
-<span class="sourceLineNo">172</span> }<a name="line.172"></a>
-<span class="sourceLineNo">173</span> }<a name="line.173"></a>
-<span class="sourceLineNo">174</span><a name="line.174"></a>
-<span class="sourceLineNo">175</span> /**<a name="line.175"></a>
-<span class="sourceLineNo">176</span> * Removes the most recent value from
the dataset.<a name="line.176"></a>
-<span class="sourceLineNo">177</span> *<a name="line.177"></a>
-<span class="sourceLineNo">178</span> * @throws MathIllegalStateException
if there are no elements stored<a name="line.178"></a>
-<span class="sourceLineNo">179</span> */<a name="line.179"></a>
-<span class="sourceLineNo">180</span> public void removeMostRecentValue()
throws MathIllegalStateException {<a name="line.180"></a>
-<span class="sourceLineNo">181</span> try {<a name="line.181"></a>
-<span class="sourceLineNo">182</span>
eDA.discardMostRecentElements(1);<a name="line.182"></a>
-<span class="sourceLineNo">183</span> } catch
(MathIllegalArgumentException ex) {<a name="line.183"></a>
-<span class="sourceLineNo">184</span> throw new
MathIllegalStateException(LocalizedFormats.NO_DATA);<a name="line.184"></a>
-<span class="sourceLineNo">185</span> }<a name="line.185"></a>
-<span class="sourceLineNo">186</span> }<a name="line.186"></a>
-<span class="sourceLineNo">187</span><a name="line.187"></a>
-<span class="sourceLineNo">188</span> /**<a name="line.188"></a>
-<span class="sourceLineNo">189</span> * Replaces the most recently stored
value with the given value.<a name="line.189"></a>
-<span class="sourceLineNo">190</span> * There must be at least one element
stored to call this method.<a name="line.190"></a>
-<span class="sourceLineNo">191</span> *<a name="line.191"></a>
-<span class="sourceLineNo">192</span> * @param v the value to replace the
most recent stored value<a name="line.192"></a>
-<span class="sourceLineNo">193</span> * @return replaced value<a
name="line.193"></a>
-<span class="sourceLineNo">194</span> * @throws MathIllegalStateException
if there are no elements stored<a name="line.194"></a>
-<span class="sourceLineNo">195</span> */<a name="line.195"></a>
-<span class="sourceLineNo">196</span> public double
replaceMostRecentValue(double v) throws MathIllegalStateException {<a
name="line.196"></a>
-<span class="sourceLineNo">197</span> return
eDA.substituteMostRecentElement(v);<a name="line.197"></a>
-<span class="sourceLineNo">198</span> }<a name="line.198"></a>
-<span class="sourceLineNo">199</span><a name="line.199"></a>
-<span class="sourceLineNo">200</span> /**<a name="line.200"></a>
-<span class="sourceLineNo">201</span> * Returns the <a
href="http://www.xycoon.com/arithmetic_mean.htm"><a name="line.201"></a>
-<span class="sourceLineNo">202</span> * arithmetic mean </a> of the
available values<a name="line.202"></a>
-<span class="sourceLineNo">203</span> * @return The mean or Double.NaN if
no values have been added.<a name="line.203"></a>
-<span class="sourceLineNo">204</span> */<a name="line.204"></a>
-<span class="sourceLineNo">205</span> public double getMean() {<a
name="line.205"></a>
-<span class="sourceLineNo">206</span> return apply(meanImpl);<a
name="line.206"></a>
-<span class="sourceLineNo">207</span> }<a name="line.207"></a>
-<span class="sourceLineNo">208</span><a name="line.208"></a>
-<span class="sourceLineNo">209</span> /**<a name="line.209"></a>
-<span class="sourceLineNo">210</span> * Returns the <a
href="http://www.xycoon.com/geometric_mean.htm"><a name="line.210"></a>
-<span class="sourceLineNo">211</span> * geometric mean </a> of the
available values.<a name="line.211"></a>
-<span class="sourceLineNo">212</span> * <p><a name="line.212"></a>
-<span class="sourceLineNo">213</span> * See {@link GeometricMean} for
details on the computing algorithm.</p><a name="line.213"></a>
-<span class="sourceLineNo">214</span> *<a name="line.214"></a>
-<span class="sourceLineNo">215</span> * @return The geometricMean,
Double.NaN if no values have been added,<a name="line.215"></a>
-<span class="sourceLineNo">216</span> * or if any negative values have
been added.<a name="line.216"></a>
-<span class="sourceLineNo">217</span> */<a name="line.217"></a>
-<span class="sourceLineNo">218</span> public double getGeometricMean() {<a
name="line.218"></a>
-<span class="sourceLineNo">219</span> return
apply(geometricMeanImpl);<a name="line.219"></a>
-<span class="sourceLineNo">220</span> }<a name="line.220"></a>
-<span class="sourceLineNo">221</span><a name="line.221"></a>
-<span class="sourceLineNo">222</span> /**<a name="line.222"></a>
-<span class="sourceLineNo">223</span> * Returns the (sample) variance of
the available values.<a name="line.223"></a>
-<span class="sourceLineNo">224</span> *<a name="line.224"></a>
-<span class="sourceLineNo">225</span> * <p>This method returns the
bias-corrected sample variance (using {@code n - 1} in<a name="line.225"></a>
-<span class="sourceLineNo">226</span> * the denominator). Use {@link
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UnivariateStatistic instance to use<a name="line.729"></a>
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DescriptiveStatistics instance with the same internal state.<a
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new DescriptiveStatistics();<a name="line.743"></a>
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exception because parms are guaranteed valid<a name="line.744"></a>
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-<span class="sourceLineNo">750</span> * Copies source to dest.<a
name="line.750"></a>
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can be null.</p><a name="line.751"></a>
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DescriptiveStatistics to copy<a name="line.753"></a>
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to copy to<a name="line.754"></a>
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either source or dest is null<a name="line.755"></a>
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copy(DescriptiveStatistics source, DescriptiveStatistics dest)<a
name="line.757"></a>
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name="line.758"></a>
-<span class="sourceLineNo">759</span> MathUtils.checkNotNull(source);<a
name="line.759"></a>
-<span class="sourceLineNo">760</span> MathUtils.checkNotNull(dest);<a
name="line.760"></a>
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name="line.761"></a>
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name="line.762"></a>
-<span class="sourceLineNo">763</span> dest.windowSize =
source.windowSize;<a name="line.763"></a>
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-<span class="sourceLineNo">765</span> // Copy implementations<a
name="line.765"></a>
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source.maxImpl.copy();<a name="line.766"></a>
-<span class="sourceLineNo">767</span> dest.meanImpl =
source.meanImpl.copy();<a name="line.767"></a>
-<span class="sourceLineNo">768</span> dest.minImpl =
source.minImpl.copy();<a name="line.768"></a>
-<span class="sourceLineNo">769</span> dest.sumImpl =
source.sumImpl.copy();<a name="line.769"></a>
-<span class="sourceLineNo">770</span> dest.varianceImpl =
source.varianceImpl.copy();<a name="line.770"></a>
-<span class="sourceLineNo">771</span> dest.sumsqImpl =
source.sumsqImpl.copy();<a name="line.771"></a>
-<span class="sourceLineNo">772</span> dest.geometricMeanImpl =
source.geometricMeanImpl.copy();<a name="line.772"></a>
-<span class="sourceLineNo">773</span> dest.kurtosisImpl =
source.kurtosisImpl;<a name="line.773"></a>
-<span class="sourceLineNo">774</span> dest.skewnessImpl =
source.skewnessImpl;<a name="line.774"></a>
-<span class="sourceLineNo">775</span> dest.percentileImpl =
source.percentileImpl;<a name="line.775"></a>
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-<span class="sourceLineNo">777</span>}<a name="line.777"></a>
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