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diff --git a/src/main/java/org/apache/commons/math/stat/descriptive/package.html b/src/main/java/org/apache/commons/math/stat/descriptive/package.html new file mode 100644 index 0000000..981fda4 --- /dev/null +++ b/src/main/java/org/apache/commons/math/stat/descriptive/package.html @@ -0,0 +1,41 @@ +<html> +<!-- + Licensed to the Apache Software Foundation (ASF) under one or more + contributor license agreements. See the NOTICE file distributed with + this work for additional information regarding copyright ownership. + The ASF licenses this file to You 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. + --> + <!-- $Revision: 811685 $ $Date: 2009-09-05 19:36:48 +0200 (sam. 05 sept. 2009) $ --> + <body> + Generic univariate summary statistic objects. + + <h3>UnivariateStatistic API Usage Examples:</h3> + <h4>UnivariateStatistic:</h4> + <code>/* evaluation approach */<br/> double[] values = new double[] { 1, 2, + 3, 4, 5 };<br/> <span style="font-weight: bold;">UnivariateStatistic stat + = new Mean();</span><br/> System.out.println("mean = " + <span + style="font-weight: bold;">stat.evaluate(values)</span>);<br/> </code> + <h4>StorelessUnivariateStatistic:</h4> + <code>/* incremental approach */<br/> double[] values = new double[] { 1, 2, + 3, 4, 5 };<br/> <span style="font-weight: bold;"> + StorelessUnivariateStatistic stat = new Mean();</span><br/> + System.out.println("mean before adding a value is NaN = " + <span + style="font-weight: bold;">stat.getResult()</span>);<br/> for (int i = 0; + i < values.length; i++) {<br/> <span + style="font-weight: bold;">stat.increment(values[i]);</span><br/> + System.out.println("current mean = " + <span style="font-weight: bold;"> + stat2.getResult()</span>);<br/> }<br/> <span style="font-weight: bold;"> + stat.clear();</span><br/> System.out.println("mean after clear is NaN = " + + <span style="font-weight: bold;">stat.getResult()</span>);</code> + </body> +</html> |