replace string concatenation with StringBuffer.append calls.
git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@635150 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Brent Worden
parent
7d28e0f53d
commit
80416d808e
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@ -411,15 +411,17 @@ public class DescriptiveStatistics implements StatisticalSummary, Serializable {
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*/
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public String toString() {
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StringBuffer outBuffer = new StringBuffer();
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outBuffer.append("DescriptiveStatistics:\n");
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outBuffer.append("n: " + getN() + "\n");
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outBuffer.append("min: " + getMin() + "\n");
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outBuffer.append("max: " + getMax() + "\n");
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outBuffer.append("mean: " + getMean() + "\n");
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outBuffer.append("std dev: " + getStandardDeviation() + "\n");
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outBuffer.append("median: " + getPercentile(50) + "\n");
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outBuffer.append("skewness: " + getSkewness() + "\n");
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outBuffer.append("kurtosis: " + getKurtosis() + "\n");
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String endl = "\n";
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outBuffer.append("DescriptiveStatistics:").append(endl);
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outBuffer.append("n: ").append(getN()).append(endl);
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outBuffer.append("min: ").append(getMin()).append(endl);
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outBuffer.append("max: ").append(getMax()).append(endl);
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outBuffer.append("mean: ").append(getMean()).append(endl);
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outBuffer.append("std dev: ").append(getStandardDeviation())
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.append(endl);
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outBuffer.append("median: ").append(getPercentile(50)).append(endl);
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outBuffer.append("skewness: ").append(getSkewness()).append(endl);
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outBuffer.append("kurtosis: ").append(getKurtosis()).append(endl);
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return outBuffer.toString();
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}
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@ -1,18 +1,15 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* contributor license agreements. See the NOTICE file distributed with this
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* work for additional information regarding copyright ownership. The ASF
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* licenses this file to You under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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* http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law
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* or agreed to in writing, software distributed under the License is
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* distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the specific language
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* governing permissions and limitations under the License.
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*/
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package org.apache.commons.math.stat.descriptive;
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@ -31,25 +28,29 @@ import org.apache.commons.math.stat.descriptive.summary.SumOfSquares;
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import org.apache.commons.math.util.MathUtils;
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/**
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* <p>Computes summary statistics for a stream of data values added using the
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* <p>
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* Computes summary statistics for a stream of data values added using the
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* {@link #addValue(double) addValue} method. The data values are not stored in
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* memory, so this class can be used to compute statistics for very large
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* data streams.</p>
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*
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* <p>The {@link StorelessUnivariateStatistic} instances used to maintain
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* summary state and compute statistics are configurable via setters.
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* For example, the default implementation for the variance can be overridden by
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* calling {@link #setVarianceImpl(StorelessUnivariateStatistic)}. Actual
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* parameters to these methods must implement the
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* {@link StorelessUnivariateStatistic} interface and configuration must be
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* completed before <code>addValue</code> is called. No configuration is
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* necessary to use the default, commons-math provided implementations.</p>
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*
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* <p>Note: This class is not thread-safe. Use
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* memory, so this class can be used to compute statistics for very large data
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* streams.
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* </p>
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* <p>
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* The {@link StorelessUnivariateStatistic} instances used to maintain summary
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* state and compute statistics are configurable via setters. For example, the
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* default implementation for the variance can be overridden by calling
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* {@link #setVarianceImpl(StorelessUnivariateStatistic)}. Actual parameters to
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* these methods must implement the {@link StorelessUnivariateStatistic}
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* interface and configuration must be completed before <code>addValue</code>
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* is called. No configuration is necessary to use the default, commons-math
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* provided implementations.
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* </p>
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* <p>
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* Note: This class is not thread-safe. Use
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* {@link SynchronizedSummaryStatistics} if concurrent access from multiple
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* threads is required.</p>
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*
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* @version $Revision$ $Date$
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* threads is required.
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* </p>
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* @version $Revision$ $Date: 2008-02-10 13:28:59 -0600 (Sun, 10 Feb
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* 2008) $
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*/
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public class SummaryStatistics implements StatisticalSummary, Serializable {
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@ -58,24 +59,20 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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/**
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* Create an instance of a <code>SummaryStatistics</code>
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*
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* @param cls the type of <code>SummaryStatistics</code> object to
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* create.
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* @param cls the type of <code>SummaryStatistics</code> object to create.
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* @return a new instance.
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* @deprecated to be removed in commons-math 2.0
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* @throws InstantiationException is thrown if the object can not be
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* created.
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* created.
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* @throws IllegalAccessException is thrown if the type's default
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* constructor is not accessible.
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* constructor is not accessible.
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*/
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public static SummaryStatistics newInstance(Class cls) throws
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InstantiationException, IllegalAccessException {
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public static SummaryStatistics newInstance(Class cls) throws InstantiationException, IllegalAccessException {
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return (SummaryStatistics)cls.newInstance();
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}
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/**
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* Create an instance of a <code>SummaryStatistics</code>
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*
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* @return a new SummaryStatistics instance.
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* @deprecated to be removed in commons-math 2.0
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*/
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@ -83,10 +80,8 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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SummaryStatistics instance = null;
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try {
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DiscoverClass dc = new DiscoverClass();
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instance = (SummaryStatistics) dc.newInstance(
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SummaryStatistics.class,
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"org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl");
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} catch(Throwable t) {
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instance = (SummaryStatistics)dc.newInstance(SummaryStatistics.class, "org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl");
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} catch (Throwable t) {
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return new SummaryStatisticsImpl();
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}
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return instance;
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@ -155,18 +150,15 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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/**
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* Return a {@link StatisticalSummaryValues} instance reporting current
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* statistics.
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*
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* @return Current values of statistics
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*/
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public StatisticalSummary getSummary() {
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return new StatisticalSummaryValues(getMean(), getVariance(), getN(),
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getMax(), getMin(), getSum());
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return new StatisticalSummaryValues(getMean(), getVariance(), getN(), getMax(), getMin(), getSum());
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}
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/**
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* Add a value to the data
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*
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* @param value the value to add
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* @param value the value to add
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*/
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public void addValue(double value) {
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sumImpl.increment(value);
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@ -178,7 +170,7 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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// If mean, variance or geomean have been overridden,
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// need to increment these
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if (!(meanImpl instanceof Mean)) {
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meanImpl.increment(value);
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meanImpl.increment(value);
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}
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if (!(varianceImpl instanceof Variance)) {
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varianceImpl.increment(value);
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@ -208,8 +200,8 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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/**
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* Returns the sum of the squares of the values that have been added.
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* <p>
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* Double.NaN is returned if no values have been added.</p>
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*
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* Double.NaN is returned if no values have been added.
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* </p>
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* @return The sum of squares
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*/
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public double getSumsq() {
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@ -219,23 +211,23 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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/**
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* Returns the mean of the values that have been added.
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* <p>
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* Double.NaN is returned if no values have been added.</p>
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*
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* Double.NaN is returned if no values have been added.
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* </p>
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* @return the mean
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*/
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public double getMean() {
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if (mean == meanImpl) {
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return new Mean(secondMoment).getResult();
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} else {
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return meanImpl.getResult();
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}
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if (mean == meanImpl) {
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return new Mean(secondMoment).getResult();
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} else {
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return meanImpl.getResult();
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}
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}
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/**
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* Returns the standard deviation of the values that have been added.
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* <p>
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* Double.NaN is returned if no values have been added.</p>
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*
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* Double.NaN is returned if no values have been added.
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* </p>
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* @return the standard deviation
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*/
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public double getStandardDeviation() {
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@ -253,8 +245,8 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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/**
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* Returns the variance of the values that have been added.
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* <p>
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* Double.NaN is returned if no values have been added.</p>
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*
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* Double.NaN is returned if no values have been added.
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* </p>
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* @return the variance
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*/
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public double getVariance() {
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@ -268,8 +260,8 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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/**
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* Returns the maximum of the values that have been added.
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* <p>
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* Double.NaN is returned if no values have been added.</p>
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*
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* Double.NaN is returned if no values have been added.
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* </p>
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* @return the maximum
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*/
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public double getMax() {
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@ -279,8 +271,8 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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/**
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* Returns the minimum of the values that have been added.
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* <p>
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* Double.NaN is returned if no values have been added.</p>
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*
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* Double.NaN is returned if no values have been added.
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* </p>
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* @return the minimum
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*/
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public double getMin() {
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@ -290,8 +282,8 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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/**
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* Returns the geometric mean of the values that have been added.
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* <p>
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* Double.NaN is returned if no values have been added.</p>
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*
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* Double.NaN is returned if no values have been added.
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* </p>
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* @return the geometric mean
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*/
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public double getGeometricMean() {
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@ -301,8 +293,8 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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/**
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* Returns the sum of the logs of the values that have been added.
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* <p>
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* Double.NaN is returned if no values have been added.</p>
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*
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* Double.NaN is returned if no values have been added.
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* </p>
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* @return the sum of logs
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* @since 1.2
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*/
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@ -311,24 +303,26 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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}
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/**
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* Generates a text report displaying
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* summary statistics from values that
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* Generates a text report displaying summary statistics from values that
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* have been added.
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* @return String with line feeds displaying statistics
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* @since 1.2
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*/
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public String toString() {
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StringBuffer outBuffer = new StringBuffer();
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outBuffer.append("SummaryStatistics:\n");
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outBuffer.append("n: " + getN() + "\n");
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outBuffer.append("min: " + getMin() + "\n");
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outBuffer.append("max: " + getMax() + "\n");
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outBuffer.append("mean: " + getMean() + "\n");
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outBuffer.append("geometric mean: " + getGeometricMean() + "\n");
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outBuffer.append("variance: " + getVariance() + "\n");
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outBuffer.append("sum of squares: " + getSumsq() + "\n");
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outBuffer.append("standard deviation: " + getStandardDeviation() + "\n");
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outBuffer.append("sum of logs: " + getSumOfLogs() + "\n");
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String endl = "\n";
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outBuffer.append("SummaryStatistics:").append(endl);
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outBuffer.append("n: ").append(getN()).append(endl);
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outBuffer.append("min: ").append(getMin()).append(endl);
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outBuffer.append("max: ").append(getMax()).append(endl);
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outBuffer.append("mean: ").append(getMean()).append(endl);
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outBuffer.append("geometric mean: ").append(getGeometricMean())
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.append(endl);
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outBuffer.append("variance: ").append(getVariance()).append(endl);
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outBuffer.append("sum of squares: ").append(getSumsq()).append(endl);
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outBuffer.append("standard deviation: ").append(getStandardDeviation())
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.append(endl);
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outBuffer.append("sum of logs: ").append(getSumOfLogs()).append(endl);
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return outBuffer.toString();
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}
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@ -353,33 +347,28 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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}
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/**
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* Returns true iff <code>object</code> is a <code>SummaryStatistics</code>
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* instance and all statistics have the same values as this.
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* Returns true iff <code>object</code> is a
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* <code>SummaryStatistics</code> instance and all statistics have the
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* same values as this.
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* @param object the object to test equality against.
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* @return true if object equals this
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*/
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public boolean equals(Object object) {
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if (object == this ) {
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if (object == this) {
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return true;
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}
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if (object instanceof SummaryStatistics == false) {
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return false;
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}
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SummaryStatistics stat = (SummaryStatistics) object;
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return (MathUtils.equals(stat.getGeometricMean(),
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this.getGeometricMean()) &&
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MathUtils.equals(stat.getMax(), this.getMax()) &&
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MathUtils.equals(stat.getMean(),this.getMean()) &&
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MathUtils.equals(stat.getMin(),this.getMin()) &&
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MathUtils.equals(stat.getN(), this.getN()) &&
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MathUtils.equals(stat.getSum(), this.getSum()) &&
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MathUtils.equals(stat.getSumsq(),this.getSumsq()) &&
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MathUtils.equals(stat.getVariance(),this.getVariance()));
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SummaryStatistics stat = (SummaryStatistics)object;
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return (MathUtils.equals(stat.getGeometricMean(), this.getGeometricMean()) && MathUtils.equals(stat.getMax(), this.getMax())
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&& MathUtils.equals(stat.getMean(), this.getMean()) && MathUtils.equals(stat.getMin(), this.getMin()) && MathUtils.equals(stat.getN(), this.getN())
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&& MathUtils.equals(stat.getSum(), this.getSum()) && MathUtils.equals(stat.getSumsq(), this.getSumsq()) && MathUtils.equals(stat.getVariance(),
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this.getVariance()));
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}
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/**
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* Returns hash code based on values of statistics
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*
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* @return hash code
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*/
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public int hashCode() {
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|
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@ -398,7 +387,6 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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// Getters and setters for statistics implementations
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/**
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* Returns the currently configured Sum implementation
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*
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* @return the StorelessUnivariateStatistic implementing the sum
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* @since 1.2
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*/
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|
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@ -407,15 +395,18 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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}
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/**
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* <p>Sets the implementation for the Sum.</p>
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* <p>This method must be activated before any data has been added - i.e.,
|
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* <p>
|
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* Sets the implementation for the Sum.
|
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* </p>
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* <p>
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* This method must be activated before any data has been added - i.e.,
|
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* before {@link #addValue(double) addValue} has been used to add data;
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* otherwise an IllegalStateException will be thrown.</p>
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*
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* @param sumImpl the StorelessUnivariateStatistic instance to use
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* for computing the Sum
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* @throws IllegalStateException if data has already been added
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* (i.e if n > 0)
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* otherwise an IllegalStateException will be thrown.
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* </p>
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* @param sumImpl the StorelessUnivariateStatistic instance to use for
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* computing the Sum
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* @throws IllegalStateException if data has already been added (i.e if n >
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* 0)
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* @since 1.2
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*/
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public void setSumImpl(StorelessUnivariateStatistic sumImpl) {
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@ -425,7 +416,6 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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/**
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* Returns the currently configured sum of squares implementation
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*
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* @return the StorelessUnivariateStatistic implementing the sum of squares
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* @since 1.2
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*/
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|
@ -434,26 +424,27 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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}
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|
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/**
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* <p>Sets the implementation for the sum of squares.</p>
|
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* <p>This method must be activated before any data has been added - i.e.,
|
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* <p>
|
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* Sets the implementation for the sum of squares.
|
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* </p>
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* <p>
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* This method must be activated before any data has been added - i.e.,
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* before {@link #addValue(double) addValue} has been used to add data;
|
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* otherwise an IllegalStateException will be thrown.</p>
|
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*
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* @param sumsqImpl the StorelessUnivariateStatistic instance to use
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* for computing the sum of squares
|
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* @throws IllegalStateException if data has already been added
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* (i.e if n > 0)
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* otherwise an IllegalStateException will be thrown.
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* </p>
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* @param sumsqImpl the StorelessUnivariateStatistic instance to use for
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* computing the sum of squares
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* @throws IllegalStateException if data has already been added (i.e if n >
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* 0)
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* @since 1.2
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*/
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public void setSumsqImpl(
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StorelessUnivariateStatistic sumsqImpl) {
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public void setSumsqImpl(StorelessUnivariateStatistic sumsqImpl) {
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checkEmpty();
|
||||
this.sumsqImpl = sumsqImpl;
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns the currently configured minimum implementation
|
||||
*
|
||||
* @return the StorelessUnivariateStatistic implementing the minimum
|
||||
* @since 1.2
|
||||
*/
|
||||
|
|
@ -462,15 +453,18 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
|
|||
}
|
||||
|
||||
/**
|
||||
* <p>Sets the implementation for the minimum.</p>
|
||||
* <p>This method must be activated before any data has been added - i.e.,
|
||||
* <p>
|
||||
* Sets the implementation for the minimum.
|
||||
* </p>
|
||||
* <p>
|
||||
* This method must be activated before any data has been added - i.e.,
|
||||
* before {@link #addValue(double) addValue} has been used to add data;
|
||||
* otherwise an IllegalStateException will be thrown.</p>
|
||||
*
|
||||
* @param minImpl the StorelessUnivariateStatistic instance to use
|
||||
* for computing the minimum
|
||||
* @throws IllegalStateException if data has already been added
|
||||
* (i.e if n > 0)
|
||||
* otherwise an IllegalStateException will be thrown.
|
||||
* </p>
|
||||
* @param minImpl the StorelessUnivariateStatistic instance to use for
|
||||
* computing the minimum
|
||||
* @throws IllegalStateException if data has already been added (i.e if n >
|
||||
* 0)
|
||||
* @since 1.2
|
||||
*/
|
||||
public void setMinImpl(StorelessUnivariateStatistic minImpl) {
|
||||
|
|
@ -480,7 +474,6 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
|
|||
|
||||
/**
|
||||
* Returns the currently configured maximum implementation
|
||||
*
|
||||
* @return the StorelessUnivariateStatistic implementing the maximum
|
||||
* @since 1.2
|
||||
*/
|
||||
|
|
@ -489,15 +482,18 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
|
|||
}
|
||||
|
||||
/**
|
||||
* <p>Sets the implementation for the maximum.</p>
|
||||
* <p>This method must be activated before any data has been added - i.e.,
|
||||
* <p>
|
||||
* Sets the implementation for the maximum.
|
||||
* </p>
|
||||
* <p>
|
||||
* This method must be activated before any data has been added - i.e.,
|
||||
* before {@link #addValue(double) addValue} has been used to add data;
|
||||
* otherwise an IllegalStateException will be thrown.</p>
|
||||
*
|
||||
* @param maxImpl the StorelessUnivariateStatistic instance to use
|
||||
* for computing the maximum
|
||||
* @throws IllegalStateException if data has already been added
|
||||
* (i.e if n > 0)
|
||||
* otherwise an IllegalStateException will be thrown.
|
||||
* </p>
|
||||
* @param maxImpl the StorelessUnivariateStatistic instance to use for
|
||||
* computing the maximum
|
||||
* @throws IllegalStateException if data has already been added (i.e if n >
|
||||
* 0)
|
||||
* @since 1.2
|
||||
*/
|
||||
public void setMaxImpl(StorelessUnivariateStatistic maxImpl) {
|
||||
|
|
@ -507,7 +503,6 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
|
|||
|
||||
/**
|
||||
* Returns the currently configured sum of logs implementation
|
||||
*
|
||||
* @return the StorelessUnivariateStatistic implementing the log sum
|
||||
* @since 1.2
|
||||
*/
|
||||
|
|
@ -516,19 +511,21 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
|
|||
}
|
||||
|
||||
/**
|
||||
* <p>Sets the implementation for the sum of logs.</p>
|
||||
* <p>This method must be activated before any data has been added - i.e.,
|
||||
* <p>
|
||||
* Sets the implementation for the sum of logs.
|
||||
* </p>
|
||||
* <p>
|
||||
* This method must be activated before any data has been added - i.e.,
|
||||
* before {@link #addValue(double) addValue} has been used to add data;
|
||||
* otherwise an IllegalStateException will be thrown.</p>
|
||||
*
|
||||
* @param sumLogImpl the StorelessUnivariateStatistic instance to use
|
||||
* for computing the log sum
|
||||
* @throws IllegalStateException if data has already been added
|
||||
* (i.e if n > 0)
|
||||
* otherwise an IllegalStateException will be thrown.
|
||||
* </p>
|
||||
* @param sumLogImpl the StorelessUnivariateStatistic instance to use for
|
||||
* computing the log sum
|
||||
* @throws IllegalStateException if data has already been added (i.e if n >
|
||||
* 0)
|
||||
* @since 1.2
|
||||
*/
|
||||
public void setSumLogImpl(
|
||||
StorelessUnivariateStatistic sumLogImpl) {
|
||||
public void setSumLogImpl(StorelessUnivariateStatistic sumLogImpl) {
|
||||
checkEmpty();
|
||||
this.sumLogImpl = sumLogImpl;
|
||||
geoMean.setSumLogImpl(sumLogImpl);
|
||||
|
|
@ -536,7 +533,6 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
|
|||
|
||||
/**
|
||||
* Returns the currently configured geometric mean implementation
|
||||
*
|
||||
* @return the StorelessUnivariateStatistic implementing the geometric mean
|
||||
* @since 1.2
|
||||
*/
|
||||
|
|
@ -545,26 +541,27 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
|
|||
}
|
||||
|
||||
/**
|
||||
* <p>Sets the implementation for the geometric mean.</p>
|
||||
* <p>This method must be activated before any data has been added - i.e.,
|
||||
* <p>
|
||||
* Sets the implementation for the geometric mean.
|
||||
* </p>
|
||||
* <p>
|
||||
* This method must be activated before any data has been added - i.e.,
|
||||
* before {@link #addValue(double) addValue} has been used to add data;
|
||||
* otherwise an IllegalStateException will be thrown.</p>
|
||||
*
|
||||
* @param geoMeanImpl the StorelessUnivariateStatistic instance to use
|
||||
* for computing the geometric mean
|
||||
* @throws IllegalStateException if data has already been added
|
||||
* (i.e if n > 0)
|
||||
* otherwise an IllegalStateException will be thrown.
|
||||
* </p>
|
||||
* @param geoMeanImpl the StorelessUnivariateStatistic instance to use for
|
||||
* computing the geometric mean
|
||||
* @throws IllegalStateException if data has already been added (i.e if n >
|
||||
* 0)
|
||||
* @since 1.2
|
||||
*/
|
||||
public void setGeoMeanImpl(
|
||||
StorelessUnivariateStatistic geoMeanImpl) {
|
||||
public void setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl) {
|
||||
checkEmpty();
|
||||
this.geoMeanImpl = geoMeanImpl;
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns the currently configured mean implementation
|
||||
*
|
||||
* @return the StorelessUnivariateStatistic implementing the mean
|
||||
* @since 1.2
|
||||
*/
|
||||
|
|
@ -573,26 +570,27 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
|
|||
}
|
||||
|
||||
/**
|
||||
* <p>Sets the implementation for the mean.</p>
|
||||
* <p>This method must be activated before any data has been added - i.e.,
|
||||
* <p>
|
||||
* Sets the implementation for the mean.
|
||||
* </p>
|
||||
* <p>
|
||||
* This method must be activated before any data has been added - i.e.,
|
||||
* before {@link #addValue(double) addValue} has been used to add data;
|
||||
* otherwise an IllegalStateException will be thrown.</p>
|
||||
*
|
||||
* @param meanImpl the StorelessUnivariateStatistic instance to use
|
||||
* for computing the mean
|
||||
* @throws IllegalStateException if data has already been added
|
||||
* (i.e if n > 0)
|
||||
* otherwise an IllegalStateException will be thrown.
|
||||
* </p>
|
||||
* @param meanImpl the StorelessUnivariateStatistic instance to use for
|
||||
* computing the mean
|
||||
* @throws IllegalStateException if data has already been added (i.e if n >
|
||||
* 0)
|
||||
* @since 1.2
|
||||
*/
|
||||
public void setMeanImpl(
|
||||
StorelessUnivariateStatistic meanImpl) {
|
||||
public void setMeanImpl(StorelessUnivariateStatistic meanImpl) {
|
||||
checkEmpty();
|
||||
this.meanImpl = meanImpl;
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns the currently configured variance implementation
|
||||
*
|
||||
* @return the StorelessUnivariateStatistic implementing the variance
|
||||
* @since 1.2
|
||||
*/
|
||||
|
|
@ -601,19 +599,21 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
|
|||
}
|
||||
|
||||
/**
|
||||
* <p>Sets the implementation for the variance.</p>
|
||||
* <p>This method must be activated before any data has been added - i.e.,
|
||||
* <p>
|
||||
* Sets the implementation for the variance.
|
||||
* </p>
|
||||
* <p>
|
||||
* This method must be activated before any data has been added - i.e.,
|
||||
* before {@link #addValue(double) addValue} has been used to add data;
|
||||
* otherwise an IllegalStateException will be thrown.</p>
|
||||
*
|
||||
* @param varianceImpl the StorelessUnivariateStatistic instance to use
|
||||
* for computing the variance
|
||||
* @throws IllegalStateException if data has already been added
|
||||
* (i.e if n > 0)
|
||||
* otherwise an IllegalStateException will be thrown.
|
||||
* </p>
|
||||
* @param varianceImpl the StorelessUnivariateStatistic instance to use for
|
||||
* computing the variance
|
||||
* @throws IllegalStateException if data has already been added (i.e if n >
|
||||
* 0)
|
||||
* @since 1.2
|
||||
*/
|
||||
public void setVarianceImpl(
|
||||
StorelessUnivariateStatistic varianceImpl) {
|
||||
public void setVarianceImpl(StorelessUnivariateStatistic varianceImpl) {
|
||||
checkEmpty();
|
||||
this.varianceImpl = varianceImpl;
|
||||
}
|
||||
|
|
@ -623,8 +623,7 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
|
|||
*/
|
||||
private void checkEmpty() {
|
||||
if (n > 0) {
|
||||
throw new IllegalStateException(
|
||||
"Implementations must be configured before values are added.");
|
||||
throw new IllegalStateException("Implementations must be configured before values are added.");
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue