1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Collections.Generic;
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24 | using System.Linq;
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25 | using System.Windows.Forms;
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26 | using HeuristicLab.Core.Views;
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27 | using HeuristicLab.Data;
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28 | using HeuristicLab.MainForm;
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29 | using HeuristicLab.Optimization;
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30 |
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31 | namespace HeuristicLab.Analysis.Statistics {
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32 | [View("Result Correlation View")]
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33 | [Content(typeof(RunCollection), false)]
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34 | public sealed partial class ResultCorrelationView : ItemView {
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35 | public ResultCorrelationView() {
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36 | InitializeComponent();
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37 | stringConvertibleMatrixView.Minimum = -1.0;
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38 | stringConvertibleMatrixView.Maximum = 1.0;
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39 | }
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40 |
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41 | public new RunCollection Content {
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42 | get { return (RunCollection)base.Content; }
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43 | set { base.Content = value; }
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44 | }
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45 |
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46 | public override bool ReadOnly {
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47 | get { return true; }
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48 | set { /*not needed because results are always readonly */}
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49 | }
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50 |
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51 | protected override void OnContentChanged() {
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52 | base.OnContentChanged();
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53 | resultComboBox.Items.Clear();
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54 |
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55 | if (Content != null) {
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56 | UpdateResultComboBox();
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57 | }
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58 | }
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59 |
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60 | #region events
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61 | protected override void RegisterContentEvents() {
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62 | base.RegisterContentEvents();
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63 | Content.ItemsAdded += new HeuristicLab.Collections.CollectionItemsChangedEventHandler<IRun>(Content_ItemsAdded);
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64 | Content.ItemsRemoved += new HeuristicLab.Collections.CollectionItemsChangedEventHandler<IRun>(Content_ItemsRemoved);
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65 | Content.CollectionReset += new HeuristicLab.Collections.CollectionItemsChangedEventHandler<IRun>(Content_CollectionReset);
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66 |
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67 | RegisterRunEvents(Content);
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68 | }
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69 |
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70 | private void RegisterRunEvents(IEnumerable<IRun> runs) {
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71 | foreach (IRun run in runs)
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72 | run.Changed += new EventHandler(run_Changed);
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73 | }
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74 |
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75 | protected override void DeregisterContentEvents() {
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76 | base.DeregisterContentEvents();
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77 | Content.ItemsAdded -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler<IRun>(Content_ItemsAdded);
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78 | Content.ItemsRemoved -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler<IRun>(Content_ItemsRemoved);
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79 | Content.CollectionReset -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler<IRun>(Content_CollectionReset);
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80 |
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81 | DeregisterRunEvents(Content);
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82 | }
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83 |
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84 | private void DeregisterRunEvents(IEnumerable<IRun> runs) {
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85 | foreach (IRun run in runs)
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86 | run.Changed -= new EventHandler(run_Changed);
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87 | }
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88 |
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89 | private void Content_CollectionReset(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs<IRun> e) {
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90 | DeregisterRunEvents(e.OldItems);
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91 | RegisterRunEvents(e.Items);
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92 | //RebuildInfluenceDataTable();
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93 | }
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94 |
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95 | private void Content_ItemsRemoved(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs<IRun> e) {
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96 | DeregisterRunEvents(e.Items);
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97 | //RebuildInfluenceDataTable();
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98 | }
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99 |
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100 | private void Content_ItemsAdded(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs<IRun> e) {
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101 | RegisterRunEvents(e.Items);
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102 | //RebuildInfluenceDataTable();
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103 | }
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104 |
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105 | private void run_Changed(object sender, EventArgs e) {
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106 | if (InvokeRequired)
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107 | this.Invoke(new EventHandler(run_Changed), sender, e);
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108 | else {
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109 | IRun run = (IRun)sender;
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110 | UpdateRun(run);
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111 | }
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112 | }
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113 | #endregion
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114 |
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115 | private void UpdateRun(IRun run) {
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116 | //TODO: hacky di hack... this is baaaadddd
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117 | RebuildCorrelationTable();
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118 | }
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119 |
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120 | private void UpdateResultComboBox() {
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121 | resultComboBox.Items.Clear();
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122 | var results = (from run in Content
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123 | from result in run.Results
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124 | select result.Key).Distinct().ToArray();
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125 |
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126 | resultComboBox.Items.AddRange(results);
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127 | if (resultComboBox.Items.Count > 0) resultComboBox.SelectedItem = resultComboBox.Items[0];
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128 | }
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129 |
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130 |
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131 | private List<string> GetRowNames() {
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132 | string resultName = (string)resultComboBox.SelectedItem;
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133 | var runs = Content.Where(x => x.Results.ContainsKey(resultName) && x.Visible);
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134 | List<string> ret = new List<string>();
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135 |
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136 | foreach (var r in runs) {
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137 | var ress = r.Results.Where(y => y.Value is DoubleValue).Select(z => z.Key);
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138 | foreach (var s in ress) {
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139 | if (!ret.Contains(s))
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140 | ret.Add(s);
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141 | }
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142 | }
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143 |
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144 | return ret;
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145 | }
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146 |
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147 | private void RebuildCorrelationTable() {
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148 | string resultName = (string)resultComboBox.SelectedItem;
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149 |
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150 | var columnNames = new string[2];
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151 | columnNames[0] = "Pearson product-moment correlation coefficient";
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152 | columnNames[1] = "Spearman's rank correlation coefficient";
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153 | var rowNames = GetRowNames();
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154 |
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155 | var runs = Content.Where(x => x.Results.ContainsKey(resultName) && x.Visible);
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156 |
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157 | DoubleMatrix dt = new DoubleMatrix(rowNames.Count(), columnNames.Count());
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158 | dt.RowNames = rowNames;
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159 | dt.ColumnNames = columnNames;
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160 |
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161 | int j = 0;
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162 | foreach (var rowName in rowNames) {
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163 | var resultRowVals = runs.Where(x => x.Results.ContainsKey(rowName)).Where(x => x.Results[rowName] is DoubleValue).Select(x => ((DoubleValue)x.Results[rowName]).Value);
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164 | var resultVals = runs.Where(x => x.Results.ContainsKey(resultName)).Where(x => x.Results[resultName] is DoubleValue).Select(x => ((DoubleValue)x.Results[resultName]).Value);
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165 |
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166 | if (resultVals.Contains(double.NaN)
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167 | || resultRowVals.Contains(double.NaN)
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168 | || resultVals.Contains(double.NegativeInfinity)
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169 | || resultVals.Contains(double.PositiveInfinity)
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170 | || resultRowVals.Contains(double.NegativeInfinity)
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171 | || resultRowVals.Contains(double.PositiveInfinity)) {
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172 | dt[j, 0] = double.NaN;
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173 | dt[j++, 1] = double.NaN;
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174 | } else {
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175 | dt[j, 0] = alglib.pearsoncorr2(resultVals.ToArray(), resultRowVals.ToArray());
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176 | dt[j++, 1] = alglib.spearmancorr2(resultVals.ToArray(), resultRowVals.ToArray());
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177 | }
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178 | }
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179 |
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180 | stringConvertibleMatrixView.Content = dt;
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181 | }
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182 |
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183 | private void calculateCorrelation_Click(object sender, EventArgs e) {
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184 | RebuildCorrelationTable();
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185 | }
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186 | }
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187 | }
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