#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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using System.Windows.Forms;
using HeuristicLab.Core.Views;
using HeuristicLab.MainForm;
using HeuristicLab.PluginInfrastructure;
using HeuristicLab.MainForm.WindowsForms;
using System.Collections.Generic;
using System.Linq;
using System.Text;

namespace HeuristicLab.Problems.DataAnalysis.Views {
  [View("Data-Analysis Problem Correlations View")]
  [Content(typeof(DataAnalysisProblemData))]
  public partial class DataAnalysisProblemDataCorrelationsView : AsynchronousContentView {
    private OpenFileDialog openFileDialog;
    public new DataAnalysisProblemData Content {
      get { return (DataAnalysisProblemData)base.Content; }
      set { base.Content = value; }
    }

    public DataAnalysisProblemDataCorrelationsView() {
      InitializeComponent();
    }

    protected override void OnContentChanged() {
      base.OnContentChanged();
      if (Content != null) {
        StringBuilder s = new StringBuilder();
        Dataset ds = Content.Dataset;
        for (int i = 0; i < ds.Columns - 1; i++) {
          for (int j = i + 1; j < ds.Columns; j++) {
            string a = ds.GetVariableName(i);
            string b = ds.GetVariableName(j);
            double[] var0 = ds.GetEnumeratedVariableValues(a).ToArray();
            double[] var1 = ds.GetEnumeratedVariableValues(b).ToArray();
            double r = alglib.spearmancorr2(var0, var1, var0.Length);
            double bothtails, temp;
            bothtails = temp = 0.0;
            alglib.correlationtests.spearmanrankcorrelationsignificance(r, var0.Length, ref bothtails, ref temp, ref temp);
            if (bothtails < 0.001 && r > 0.85) s.AppendLine(a + " -- " + b + " [len=\"" + 1.0 / (r * r) + "\"];");
          }
        }

        textBox.Text = s.ToString();
      }
    }
  }
}