/*
* 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.
*/
package org.apache.commons.math.stat;
import java.io.BufferedReader;
import java.io.InputStreamReader;
import junit.framework.TestCase;
import org.apache.commons.math.stat.descriptive.DescriptiveStatistics;
import org.apache.commons.math.stat.descriptive.SummaryStatistics;
/**
* Certified data test cases.
* @version $Revision: 902201 $ $Date: 2010-01-22 13:18:16 -0500 (Fri, 22 Jan 2010) $
*/
public class CertifiedDataTest extends TestCase {
protected double mean = Double.NaN;
protected double std = Double.NaN;
/**
* Certified Data Test Constructor
* @param name
*/
public CertifiedDataTest(String name) {
super(name);
}
/**
* Test SummaryStatistics - implementations that do not store the data
* and use single pass algorithms to compute statistics
*/
public void testSummaryStatistics() throws Exception {
SummaryStatistics u = new SummaryStatistics();
loadStats("data/PiDigits.txt", u);
assertEquals("PiDigits: std", std, u.getStandardDeviation(), 1E-13);
assertEquals("PiDigits: mean", mean, u.getMean(), 1E-13);
loadStats("data/Mavro.txt", u);
assertEquals("Mavro: std", std, u.getStandardDeviation(), 1E-14);
assertEquals("Mavro: mean", mean, u.getMean(), 1E-14);
loadStats("data/Michelso.txt", u);
assertEquals("Michelso: std", std, u.getStandardDeviation(), 1E-13);
assertEquals("Michelso: mean", mean, u.getMean(), 1E-13);
loadStats("data/NumAcc1.txt", u);
assertEquals("NumAcc1: std", std, u.getStandardDeviation(), 1E-14);
assertEquals("NumAcc1: mean", mean, u.getMean(), 1E-14);
loadStats("data/NumAcc2.txt", u);
assertEquals("NumAcc2: std", std, u.getStandardDeviation(), 1E-14);
assertEquals("NumAcc2: mean", mean, u.getMean(), 1E-14);
}
/**
* Test DescriptiveStatistics - implementations that store full array of
* values and execute multi-pass algorithms
*/
public void testDescriptiveStatistics() throws Exception {
DescriptiveStatistics u = new DescriptiveStatistics();
loadStats("data/PiDigits.txt", u);
assertEquals("PiDigits: std", std, u.getStandardDeviation(), 1E-14);
assertEquals("PiDigits: mean", mean, u.getMean(), 1E-14);
loadStats("data/Mavro.txt", u);
assertEquals("Mavro: std", std, u.getStandardDeviation(), 1E-14);
assertEquals("Mavro: mean", mean, u.getMean(), 1E-14);
loadStats("data/Michelso.txt", u);
assertEquals("Michelso: std", std, u.getStandardDeviation(), 1E-14);
assertEquals("Michelso: mean", mean, u.getMean(), 1E-14);
loadStats("data/NumAcc1.txt", u);
assertEquals("NumAcc1: std", std, u.getStandardDeviation(), 1E-14);
assertEquals("NumAcc1: mean", mean, u.getMean(), 1E-14);
loadStats("data/NumAcc2.txt", u);
assertEquals("NumAcc2: std", std, u.getStandardDeviation(), 1E-14);
assertEquals("NumAcc2: mean", mean, u.getMean(), 1E-14);
}
/**
* loads a DescriptiveStatistics off of a test file
* @param file
* @param statistical summary
*/
private void loadStats(String resource, Object u) throws Exception {
DescriptiveStatistics d = null;
SummaryStatistics s = null;
if (u instanceof DescriptiveStatistics) {
d = (DescriptiveStatistics) u;
} else {
s = (SummaryStatistics) u;
}
u.getClass().getDeclaredMethod(
"clear", new Class[]{}).invoke(u, new Object[]{});
mean = Double.NaN;
std = Double.NaN;
BufferedReader in =
new BufferedReader(
new InputStreamReader(
CertifiedDataTest.class.getResourceAsStream(resource)));
String line = null;
for (int j = 0; j < 60; j++) {
line = in.readLine();
if (j == 40) {
mean =
Double.parseDouble(
line.substring(line.lastIndexOf(":") + 1).trim());
}
if (j == 41) {
std =
Double.parseDouble(
line.substring(line.lastIndexOf(":") + 1).trim());
}
}
line = in.readLine();
while (line != null) {
if (d != null) {
d.addValue(Double.parseDouble(line.trim()));
} else {
s.addValue(Double.parseDouble(line.trim()));
}
line = in.readLine();
}
in.close();
}
}