Mercurial > dive4elements > gnv-client

annotate gnv-artifacts/src/main/java/de/intevation/gnv/statistics/TimeseriesStatistics.java @ 280:72f5e8bd2791 0.2

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merged geo-backend/0.2
author Thomas Arendsen Hein <thomas@intevation.de>
date Fri, 28 Sep 2012 12:13:45 +0200
parents 5403452c06fc
children e964a3d8f7bc
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.statistics.exception.StatisticsException;
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29 import de.intevation.gnv.transition.describedata.KeyValueDescibeData;
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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 = DescriptiveStatistics.newInstance();
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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 String statisticsName = this.generateStatisticsName(break1, break2,
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124 break3, parameters,
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125 measurements, dates);
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126
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127 statisticSets.add(this.generateStatisticsValues(lStatistics,
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128 lRegression,
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129 statisticsName));
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130 lStatistics.clear();
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131 lRegression.clear();
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132 }
171
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133 } catch (Exception e) {
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134 log.error(e.getMessage(), e);
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135 }
171
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136
253
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137 return statisticSets;
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138 }
171
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139
255
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140 protected void clearStatistics(){}
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141
253
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142 /**
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143 *
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144 * @param break1
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145 * @param break2
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146 * @param break3
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147 * @param parameters
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148 * @param measurements
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149 * @param dates
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150 * @return
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151 */
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152 protected String generateStatisticsName(String break1,
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153 String break2,
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154 String break3,
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155 Collection<KeyValueDescibeData> parameters,
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156 Collection<KeyValueDescibeData> measurements,
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157 Collection<KeyValueDescibeData> dates){
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158 log.debug("TimeseriesStatistics.generateStatisticsName");
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159 return this.findValueTitle(parameters,break1)+ " "+
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160 this.findValueTitle(measurements,break2) + "m";
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161 }
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162
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163
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164 protected String findValueTitle(Collection<KeyValueDescibeData> values,
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165 String id) {
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166 log.debug("TimeseriesStatistics.findValueTitle "+ id);
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167 if (values != null) {
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168 Iterator<KeyValueDescibeData> it = values.iterator();
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169 while (it.hasNext()) {
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170 KeyValueDescibeData data = it.next();
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171 if (id.equals(data.getKey())) {
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172 return data.getValue();
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173 }
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174 }
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175 }
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176 return "";
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177 }
255
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178 protected double calculateXOrdinateValue(Result previousRow, Result row) throws SQLException {
171
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179 return new Double((row.getDate("XORDINATE")).getTime() / 1000 / 3600);
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180 }
171
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181
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182 /**
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183 * @param lStatistics
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184 * @param lRegression
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185 * @param lStats
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186 * @param lSeries
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187 */
253
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188 private StatisticSet generateStatisticsValues(DescriptiveStatistics lStatistics,
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189 SimpleRegression lRegression, String statisticName) {
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190
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191 StatisticSet statisticSet = new StatisticSet(statisticName);
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192
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193 statisticSet.addStatistic(new Statistic(
171
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194 "gnviewer.statistics.descriptive.arithmeticMean", lStatistics
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195 .getMean()));
253
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196 statisticSet.addStatistic(new Statistic(
171
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197 "gnviewer.statistics.descriptive.kurtosis", lStatistics
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198 .getKurtosis()));
253
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199 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.max",
171
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200 lStatistics.getMax()));
253
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201 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.min",
171
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202 lStatistics.getMin()));
253
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203 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.n",
171
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204 lStatistics.getN()));
253
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205 statisticSet.addStatistic(new Statistic(
171
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206 "gnviewer.statistics.descriptive.percentile.90", lStatistics
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207 .getPercentile(90)));
253
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208 statisticSet.addStatistic(new Statistic(
171
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209 "gnviewer.statistics.descriptive.percentile.75", lStatistics
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210 .getPercentile(75)));
253
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diff changeset
211 statisticSet.addStatistic(new Statistic(
171
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diff changeset
212 "gnviewer.statistics.descriptive.percentile.50", lStatistics
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213 .getPercentile(50)));
253
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diff changeset
214 statisticSet.addStatistic(new Statistic(
171
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diff changeset
215 "gnviewer.statistics.descriptive.percentile.10", lStatistics
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diff changeset
216 .getPercentile(10)));
253
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diff changeset
217 statisticSet.addStatistic(new Statistic(
171
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diff changeset
218 "gnviewer.statistics.descriptive.deviation", lStatistics
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diff changeset
219 .getStandardDeviation()));
253
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diff changeset
220 statisticSet.addStatistic(new Statistic(
171
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diff changeset
221 "gnviewer.statistics.descriptive.variance", lStatistics
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diff changeset
222 .getVariance()));
253
07650fc6014c Put a name to each Statistic group which is similar to the name of the
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parents: 171
diff changeset
223 statisticSet.addStatistic(new Statistic(
171
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diff changeset
224 "gnviewer.statistics.descriptive.intercept", lRegression
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diff changeset
225 .getIntercept()));
253
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diff changeset
226 statisticSet.addStatistic(new Statistic("gnviewer.statistics.descriptive.slope",
171
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diff changeset
227 lRegression.getSlope()));
253
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diff changeset
228 return statisticSet;
171
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diff changeset
229 }
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230 }
http://dive4elements.wald.intevation.org