/* * 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. */ /** * * Generic univariate summary statistic objects. * *

UnivariateStatistic API Usage Examples:

* *

UnivariateStatistic:

/∗ evaluation approach ∗/

 *          double[] values = new double[] { 1, 2, 3, 4, 5 };

 *          UnivariateStatistic stat = new Mean();

 *          out.println("mean = " + stat.evaluate(values));

 *

* *

StorelessUnivariateStatistic:

/∗ incremental approach ∗/

 *          double[] values = new double[] { 1, 2, 3, 4, 5 };

 *          StorelessUnivariateStatistic stat = new Mean();

 *          out.println("mean before adding a value is NaN = " + stat.getResult());

 *          for (int i = 0; i < values.length; i++) {

 *                stat.increment(values[i]);

 *                out.println("current mean = " + stat2.getResult());

 *          }

 *           stat.clear();

 *          out.println("mean after clear is NaN = " + stat.getResult());
 *

* */ package org.apache.commons.math3.stat.descriptive;