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From l..@apache.org
Subject svn commit: r1132437 - in /commons/proper/math/trunk/src/site/xdoc: changes.xml userguide/stat.xml
Date Sun, 05 Jun 2011 15:41:50 GMT
Author: luc
Date: Sun Jun  5 15:41:50 2011
New Revision: 1132437

URL: http://svn.apache.org/viewvc?rev=1132437&view=rev
Log:
Fixed documentation of statistics examples.

JIRA: MATH-568

Modified:
    commons/proper/math/trunk/src/site/xdoc/changes.xml
    commons/proper/math/trunk/src/site/xdoc/userguide/stat.xml

Modified: commons/proper/math/trunk/src/site/xdoc/changes.xml
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/site/xdoc/changes.xml?rev=1132437&r1=1132436&r2=1132437&view=diff
==============================================================================
--- commons/proper/math/trunk/src/site/xdoc/changes.xml (original)
+++ commons/proper/math/trunk/src/site/xdoc/changes.xml Sun Jun  5 15:41:50 2011
@@ -52,6 +52,9 @@ The <action> type attribute can be add,u
     If the output is not quite correct, check for invisible trailing spaces!
      -->
     <release version="3.0" date="TBD" description="TBD">
+      <action dev="luc" type="fix" issue="MATH-568" due-to="Christoph M. Friedrich">
+        Fixed documentation of statistics examples.
+      </action>
       <action dev="luc" type="fix" issue="MATH-507" due-to="Ole Ersoy">
         Improved documentation of general optimization with a thorough example.
       </action>

Modified: commons/proper/math/trunk/src/site/xdoc/userguide/stat.xml
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/site/xdoc/userguide/stat.xml?rev=1132437&r1=1132436&r2=1132437&view=diff
==============================================================================
--- commons/proper/math/trunk/src/site/xdoc/userguide/stat.xml (original)
+++ commons/proper/math/trunk/src/site/xdoc/userguide/stat.xml Sun Jun  5 15:41:50 2011
@@ -169,7 +169,7 @@ for( int i = 0; i &lt; inputArray.length
 // Compute some statistics
 double mean = stats.getMean();
 double std = stats.getStandardDeviation();
-double median = stats.getMedian();
+double median = stats.getPercentile(50);
         </source>
         </dd>
         <dd>Using the <code>SummaryStatistics</code> aggregate (values
are
@@ -198,7 +198,7 @@ double std = stats.getStandardDeviation(
 // assume values is a double[] array
 double mean = StatUtils.mean(values);
 double std = StatUtils.variance(values);
-double median = StatUtils.percentile(50);
+double median = StatUtils.percentile(values, 50);
 
 // Compute the mean of the first three values in the array
 mean = StatUtils.mean(values, 0, 3);



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