svn commit: r925826 - in /commons/proper/math/trunk/src/site/xdoc/userguide: distribution.xml stat.xml

[psteitz]

Author: psteitz
Date: Sun Mar 21 17:01:31 2010
New Revision: 925826

URL: http://svn.apache.org/viewvc?rev=925826&view=rev
Log:
Eliminated references to factory methods dropped in math 2.0.

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

Modified: commons/proper/math/trunk/src/site/xdoc/userguide/distribution.xml
URL: 
http://svn.apache.org/viewvc/commons/proper/math/trunk/src/site/xdoc/userguide/distribution.xml?rev=925826&r1=925825&r2=925826&view=diff
==============================================================================
--- commons/proper/math/trunk/src/site/xdoc/userguide/distribution.xml 
(original)
+++ commons/proper/math/trunk/src/site/xdoc/userguide/distribution.xml Sun Mar 
21 17:01:31 2010
@@ -45,8 +45,7 @@
           and a domain value, <code>x</code>,  
<code>cumulativeProbability</code> computes
           <code>P(X &lt;= x)</code> (i.e. the lower tail probability of 
<code>X</code>).
         </p>
-        <source>DistributionFactory factory = 
DistributionFactory.newInstance();
-TDistribution t = factory.createTDistribution(29);
+<source>TDistribution t = new TDistributionImpl(29);
 double lowerTail = t.cumulativeProbability(-2.656);     // P(T &lt;= -2.656)
 double upperTail = 1.0 - t.cumulativeProbability(2.75); // P(T &gt;= 
2.75)</source>
         <p>

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=925826&r1=925825&r2=925826&view=diff
==============================================================================
--- commons/proper/math/trunk/src/site/xdoc/userguide/stat.xml (original)
+++ commons/proper/math/trunk/src/site/xdoc/userguide/stat.xml Sun Mar 21 
17:01:31 2010
@@ -153,8 +153,8 @@
           <dd>Using the <code>DescriptiveStatistics</code> aggregate
           (values are stored in memory):
         <source>
-// Get a DescriptiveStatistics instance using factory method
-DescriptiveStatistics stats = DescriptiveStatistics.newInstance();
+// Get a DescriptiveStatistics instance
+DescriptiveStatistics stats = new DescriptiveStatistics();
 
 // Add the data from the array
 for( int i = 0; i &lt; inputArray.length; i++) {
@@ -170,8 +170,8 @@ double median = stats.getMedian();
         <dd>Using the <code>SummaryStatistics</code> aggregate (values are
         <strong>not</strong> stored in memory):
        <source>
-// Get a SummaryStatistics instance using factory method
-SummaryStatistics stats = SummaryStatistics.newInstance();
+// Get a SummaryStatistics instance
+SummaryStatistics stats = new SummaryStatistics();
 
 // Read data from an input stream,
 // adding values and updating sums, counters, etc.
@@ -206,7 +206,7 @@ mean = StatUtils.mean(values, 0, 3);
         window size set to 100
         <source>
 // Create a DescriptiveStats instance and set the window size to 100
-DescriptiveStatistics stats = DescriptiveStatistics.newInstance();
+DescriptiveStatistics stats = new DescriptiveStatistics();
 stats.setWindowSize(100);
 
 // Read data from an input stream,
@@ -230,7 +230,7 @@ in.close();
         <source>
 // Create a SynchronizedDescriptiveStatistics instance and
 // use as any other DescriptiveStatistics instance
-DescriptiveStatistics stats = 
DescriptiveStatistics.newInstance(SynchronizedDescriptiveStatistics.class);
+DescriptiveStatistics stats = new SynchronizedDescriptiveStatistics();
         </source>
         </dd>
         <dt>Compute statistics for multiple samples and overall statistics 
concurrently</dt>
@@ -842,8 +842,7 @@ System.out.println(TestUtils.t(mu, obser
           <source>
 double[] observed ={1d, 2d, 3d};
 double mu = 2.5d;
-SummaryStatistics sampleStats = null;
-sampleStats = SummaryStatistics.newInstance();
+SummaryStatistics sampleStats = new SummaryStatistics();
 for (int i = 0; i &lt; observed.length; i++) {
     sampleStats.addValue(observed[i]);
 }