annotate gnv-artifacts/src/main/java/de/intevation/gnv/statistics/TimeseriesStatistics.java @ 364:2413273f1c13

Workarround: Store lower and upper bounds of data while iterating over all data and set the max range of axes with these information. JFreeCharts method NumberAxis.setAutoRange(true) doesn't seem to work properly. gnv-artifacts/trunk@439 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author Ingo Weinzierl <ingo.weinzierl@intevation.de>
date Wed, 16 Dec 2009 11:58:44 +0000
parents 59ad8f37a590
children 04a242c67fe6
rev   line source
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1 /**
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2 * Title: TimeseriesStatistics, $Header: /share/gdi/SDI-Suite/Repository/projekte/BSH-GDI/genericViewer/src/main/java/de/conterra/bsh/gdi/gnviewer/output/statistics/TimeseriesStatistics.java,v 1.3 2008/08/18 14:50:33 drewnak Exp $
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3 * Source: $Source: /share/gdi/SDI-Suite/Repository/projekte/BSH-GDI/genericViewer/src/main/java/de/conterra/bsh/gdi/gnviewer/output/statistics/TimeseriesStatistics.java,v $
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4 * created by: Stefan Blume (blume)
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5 * erstellt am: 06.12.2007
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6 * Copyright: con terra GmbH, 2005
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7 *
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8 * modified by: $Author: drewnak $
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9 * modified on: $Date: 2008/08/18 14:50:33 $
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10 * Version: $Revision: 1.3 $
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11 * TAG: $Name: $
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12 * locked from: $Locker: $
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13 * CVS State: $State: Exp $
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14 * Project: $ProjectName$
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15 */
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16 package de.intevation.gnv.statistics;
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17
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18 import java.sql.SQLException;
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19 import java.util.ArrayList;
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20 import java.util.Collection;
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21 import java.util.Iterator;
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23 import org.apache.commons.math.stat.descriptive.DescriptiveStatistics;
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24 import org.apache.commons.math.stat.regression.SimpleRegression;
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25 import org.apache.log4j.Logger;
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26
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27 import de.intevation.gnv.geobackend.base.Result;
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28 import de.intevation.gnv.state.describedata.KeyValueDescibeData;
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29 import de.intevation.gnv.statistics.exception.StatisticsException;
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31 /**
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32 * The class <code>TimeseriesStatistics</code> fulfills the following purposes:
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33 * <ol>
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34 * <li></li>
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35 * </ol>
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36 *
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37 * @author blume
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38 * @author Tim Englich <tim.englich@intevation.de>
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39 * @version 1.0
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40 * @serial 1.0
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41 * @see
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42 * @since 06.12.2007 18:02:27
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43 */
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44 public class TimeseriesStatistics implements Statistics {
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45
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46 /**
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47 * Default Logging instance
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48 */
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49 private static Logger log = Logger.getLogger(TimeseriesStatistics.class);
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50
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51 /**
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52 * Constructor
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53 */
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54 public TimeseriesStatistics() {
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55 super();
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56 }
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57
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58 /**
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59 * @see de.intevation.gnv.statistics.Statistics#calculateStatistics(java.util.Collection, java.util.Collection, java.util.Collection, java.util.Collection)
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60 */
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61 public Collection<StatisticSet> calculateStatistics(
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62 Collection<Result> resultSet,
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63 Collection<KeyValueDescibeData> parameters,
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64 Collection<KeyValueDescibeData> measurements,
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65 Collection<KeyValueDescibeData> dates
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66 )
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67 throws StatisticsException {
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68 this.clearStatistics();
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69 DescriptiveStatistics lStatistics = null;
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70 SimpleRegression lRegression = null;
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71 Collection<StatisticSet> statisticSets = new ArrayList<StatisticSet>();
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72 String break1, break2, break3;
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73 int lSeries = 1;
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74 try {
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75
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76 Iterator<Result> resultIterator = resultSet.iterator();
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77 if (resultIterator.hasNext()) {
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78 Result row = resultIterator.next();
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79 Result previousRow = row;
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80 break1 = row.getString("GROUP1");
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81 break2 = row.getString("GROUP2");
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82 break3 = row.getString("GROUP3");
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83 lRegression = new SimpleRegression();
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84 lStatistics = new DescriptiveStatistics();
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85 while (resultIterator.hasNext()) {
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86
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87 if (!break1.equals(row.getString("GROUP1"))
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88 || !break2.equals(row.getString("GROUP2"))
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89 || !break3.equals(row.getString("GROUP3"))
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90 ) {
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91 String statisticsName = this.generateStatisticsName(break1, break2,
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92 break3, parameters,
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93 measurements, dates);
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94 statisticSets.add(this.generateStatisticsValues(lStatistics,
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95 lRegression,
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96 statisticsName));
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97
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98 lStatistics.clear();
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99 lRegression.clear();
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100
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101 this.clearStatistics();
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102
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103 lStatistics.addValue(row.getDouble("YORDINATE"));
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104 Double x = this.calculateXOrdinateValue(previousRow,row);
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105 lRegression.addData(x, row.getDouble("YORDINATE"));
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106
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107 break1 = row.getString("GROUP1");
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108 break2 = row.getString("GROUP2");
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109 break3 = row.getString("GROUP3");
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110 previousRow = row;
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111 row = resultIterator.next();
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112 lSeries++;
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113 } else {
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114
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115 lStatistics.addValue(row.getDouble("YORDINATE"));
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116 Double x = this.calculateXOrdinateValue(previousRow, row);
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117 lRegression.addData(x, row.getDouble("YORDINATE"));
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118 previousRow = row;
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119 row = resultIterator.next();
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120 }
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121
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122 }
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123
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124 lStatistics.addValue(row.getDouble("YORDINATE"));
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125 Double x = this.calculateXOrdinateValue(previousRow, row);
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126 lRegression.addData(x, row.getDouble("YORDINATE"));
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127
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128 String statisticsName = this.generateStatisticsName(break1, break2,
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129 break3, parameters,
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130 measurements, dates);
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131
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132 statisticSets.add(this.generateStatisticsValues(lStatistics,
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133 lRegression,
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134 statisticsName));
171
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135 lStatistics.clear();
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136 lRegression.clear();
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137 }
171
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138 } catch (Exception e) {
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139 log.error(e.getMessage(), e);
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140 }
171
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141
253
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142 return statisticSets;
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143 }
171
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144
255
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145 protected void clearStatistics(){}
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146
253
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147 /**
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148 *
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149 * @param break1
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150 * @param break2
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151 * @param break3
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152 * @param parameters
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153 * @param measurements
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154 * @param dates
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155 * @return
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156 */
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157 protected String generateStatisticsName(String break1,
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158 String break2,
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159 String break3,
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160 Collection<KeyValueDescibeData> parameters,
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161 Collection<KeyValueDescibeData> measurements,
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162 Collection<KeyValueDescibeData> dates){
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163 log.debug("TimeseriesStatistics.generateStatisticsName");
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164 return this.findValueTitle(parameters,break1)+ " "+
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165 this.findValueTitle(measurements,break2) + "m";
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166 }
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167
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168
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169 protected String findValueTitle(Collection<KeyValueDescibeData> values,
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170 String id) {
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171 log.debug("TimeseriesStatistics.findValueTitle "+ id);
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172 if (values != null) {
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173 Iterator<KeyValueDescibeData> it = values.iterator();
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174 while (it.hasNext()) {
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175 KeyValueDescibeData data = it.next();
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176 if (id.equals(data.getKey())) {
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177 return data.getValue();
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178 }
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179 }
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180 }
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181 return "";
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182 }
255
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183 protected double calculateXOrdinateValue(Result previousRow, Result row) throws SQLException {
171
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184 return new Double((row.getDate("XORDINATE")).getTime() / 1000 / 3600);
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185 }
171
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186
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187 /**
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188 * @param lStatistics
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189 * @param lRegression
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190 * @param lStats
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191 * @param lSeries
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192 */
253
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193 private StatisticSet generateStatisticsValues(DescriptiveStatistics lStatistics,
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194 SimpleRegression lRegression, String statisticName) {
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195
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196 StatisticSet statisticSet = new StatisticSet(statisticName);
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197
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198 statisticSet.addStatistic(new Statistic(
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199 "gnviewer.statistics.descriptive.arithmeticMean", lStatistics
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200 .getMean()));
253
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201 statisticSet.addStatistic(new Statistic(
171
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202 "gnviewer.statistics.descriptive.kurtosis", lStatistics
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203 .getKurtosis()));
253
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204 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.max",
171
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205 lStatistics.getMax()));
253
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206 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.min",
171
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207 lStatistics.getMin()));
253
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208 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.n",
171
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diff changeset
209 lStatistics.getN()));
253
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210 statisticSet.addStatistic(new Statistic(
171
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diff changeset
211 "gnviewer.statistics.descriptive.percentile.90", lStatistics
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212 .getPercentile(90)));
253
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diff changeset
213 statisticSet.addStatistic(new Statistic(
171
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diff changeset
214 "gnviewer.statistics.descriptive.percentile.75", lStatistics
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diff changeset
215 .getPercentile(75)));
253
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diff changeset
216 statisticSet.addStatistic(new Statistic(
171
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diff changeset
217 "gnviewer.statistics.descriptive.percentile.50", lStatistics
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diff changeset
218 .getPercentile(50)));
253
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diff changeset
219 statisticSet.addStatistic(new Statistic(
171
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diff changeset
220 "gnviewer.statistics.descriptive.percentile.10", lStatistics
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parents: 115
diff changeset
221 .getPercentile(10)));
253
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parents: 171
diff changeset
222 statisticSet.addStatistic(new Statistic(
171
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parents: 115
diff changeset
223 "gnviewer.statistics.descriptive.deviation", lStatistics
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parents: 115
diff changeset
224 .getStandardDeviation()));
253
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parents: 171
diff changeset
225 statisticSet.addStatistic(new Statistic(
171
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parents: 115
diff changeset
226 "gnviewer.statistics.descriptive.variance", lStatistics
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parents: 115
diff changeset
227 .getVariance()));
253
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parents: 171
diff changeset
228 statisticSet.addStatistic(new Statistic(
171
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diff changeset
229 "gnviewer.statistics.descriptive.intercept", lRegression
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parents: 115
diff changeset
230 .getIntercept()));
253
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diff changeset
231 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.slope",
171
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diff changeset
232 lRegression.getSlope()));
253
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parents: 171
diff changeset
233 return statisticSet;
171
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parents: 115
diff changeset
234 }
93
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235 }

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