#region License Information
/* HeuristicLab
* Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using System.Collections.Generic;
using System.Linq;
using System.Windows.Forms;
using alglib;
using HeuristicLab.Common;
using HeuristicLab.Data;
using HeuristicLab.MainForm;
using HeuristicLab.MainForm.WindowsForms;
using HeuristicLab.Optimization;
namespace HeuristicLab.Problems.DataAnalysis.Views {
[Content(typeof(RunCollection), false)]
[View("RunCollection Variable Impact View")]
public partial class RunCollectionVariableImpactView : AsynchronousContentView {
private const string variableImpactResultName = "Integrated variable frequencies";
public RunCollectionVariableImpactView() {
InitializeComponent();
}
public new RunCollection Content {
get { return (RunCollection)base.Content; }
set { base.Content = value; }
}
protected override void RegisterContentEvents() {
base.RegisterContentEvents();
this.Content.ItemsAdded += new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_ItemsAdded);
this.Content.ItemsRemoved += new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_ItemsRemoved);
this.Content.CollectionReset += new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_CollectionReset);
}
protected override void DeregisterContentEvents() {
base.RegisterContentEvents();
this.Content.ItemsAdded -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_ItemsAdded);
this.Content.ItemsRemoved -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_ItemsRemoved);
this.Content.CollectionReset -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_CollectionReset);
}
protected override void OnContentChanged() {
base.OnContentChanged();
this.UpdateData();
}
private void Content_ItemsAdded(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs e) {
this.UpdateData();
}
private void Content_ItemsRemoved(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs e) {
this.UpdateData();
}
private void Content_CollectionReset(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs e) {
this.UpdateData();
}
private void UpdateData() {
matrixView.Content = CalculateVariableImpactMatrix();
}
private DoubleMatrix CalculateVariableImpactMatrix() {
DoubleMatrix matrix = null;
if (Content != null) {
List runsWithVariables = Content.Where(r => r.Results.ContainsKey(variableImpactResultName)).ToList();
IEnumerable variableImpacts = (from run in runsWithVariables
select run.Results[variableImpactResultName]).Cast();
List variableNames = (from varImpact in variableImpacts
from variableName in varImpact.RowNames
select variableName).Distinct().ToList();
List statictics = new List { "Mean", "Median", "StdDev", "pValue Mean<0", "pValue Median<0" };
List columnNames = runsWithVariables.Select(r => r.Name).ToList();
columnNames.AddRange(statictics);
int runs = runsWithVariables.Count();
matrix = new DoubleMatrix(variableNames.Count, runs + statictics.Count);
matrix.SortableView = true;
matrix.RowNames = variableNames;
matrix.ColumnNames = columnNames;
for (int i = 0; i < runsWithVariables.Count; i++) {
IRun run = runsWithVariables[i];
DoubleMatrix runVariableImpacts = (DoubleMatrix)run.Results[variableImpactResultName];
for (int j = 0; j < runVariableImpacts.Rows; j++) {
int rowIndex = variableNames.FindIndex(s => s == runVariableImpacts.RowNames.ElementAt(j));
matrix[rowIndex, i] = runVariableImpacts[j, 0];
}
}
for (int variableIndex = 0; variableIndex < matrix.Rows; variableIndex++) {
List impacts = new List();
for (int runIndex = 0; runIndex < runs; runIndex++)
impacts.Add(matrix[variableIndex, runIndex]);
matrix[variableIndex, runs] = impacts.Average();
matrix[variableIndex, runs + 1] = impacts.Median();
matrix[variableIndex, runs + 2] = impacts.StandardDeviation();
double leftTail = 0; double rightTail = 0; double bothTails = 0;
double[] impactsArray = impacts.ToArray();
studentttests.studentttest1(ref impactsArray, impactsArray.Length, 0, ref bothTails, ref leftTail, ref rightTail);
matrix[variableIndex, runs + 3] = rightTail;
wsr.wilcoxonsignedranktest(impactsArray, impactsArray.Length, 0, ref bothTails, ref leftTail, ref rightTail);
matrix[variableIndex, runs + 4] = rightTail;
}
}
return matrix;
}
}
}