#region License Information
/* HeuristicLab
* Copyright (C) 2002-2012 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;
using System.Collections.Generic;
using System.Linq;
using System.Windows.Forms;
using HeuristicLab.Common;
using HeuristicLab.Core.Views;
using HeuristicLab.Data;
using HeuristicLab.MainForm;
using HeuristicLab.Optimization;
namespace HeuristicLab.Analysis.Statistics {
[View("RunCollection Chart Analysis View")]
[Content(typeof(RunCollection), false)]
public sealed partial class ChartAnalysisView : ItemView {
public new RunCollection Content {
get { return (RunCollection)base.Content; }
set { base.Content = value; }
}
public override bool ReadOnly {
get { return true; }
set { /*not needed because results are always readonly */}
}
private List runs;
public ChartAnalysisView() {
InitializeComponent();
stringConvertibleMatrixView.DataGridView.RowHeaderMouseDoubleClick += new DataGridViewCellMouseEventHandler(DataGridView_RowHeaderMouseDoubleClick);
}
///
/// Clean up any resources being used.
///
/// true if managed resources should be disposed; otherwise, false.
protected override void Dispose(bool disposing) {
if (disposing && (components != null)) {
stringConvertibleMatrixView.DataGridView.RowHeaderMouseDoubleClick -= new DataGridViewCellMouseEventHandler(DataGridView_RowHeaderMouseDoubleClick);
components.Dispose();
}
base.Dispose(disposing);
}
#region Content Events
protected override void OnContentChanged() {
base.OnContentChanged();
dataTableComboBox.Items.Clear();
dataRowComboBox.Items.Clear();
if (Content != null) {
UpdateDataTableComboBox();
}
}
protected override void RegisterContentEvents() {
base.RegisterContentEvents();
Content.ItemsAdded += new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_ItemsAdded);
Content.ItemsRemoved += new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_ItemsRemoved);
Content.CollectionReset += new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_CollectionReset);
Content.UpdateOfRunsInProgressChanged += Content_UpdateOfRunsInProgressChanged;
}
protected override void DeregisterContentEvents() {
base.DeregisterContentEvents();
Content.ItemsAdded -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_ItemsAdded);
Content.ItemsRemoved -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_ItemsRemoved);
Content.CollectionReset -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_CollectionReset);
Content.UpdateOfRunsInProgressChanged -= Content_UpdateOfRunsInProgressChanged;
}
private void Content_CollectionReset(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs e) {
RebuildDataTable();
}
private void Content_ItemsRemoved(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs e) {
RebuildDataTable();
}
private void Content_ItemsAdded(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs e) {
RebuildDataTable();
}
void Content_UpdateOfRunsInProgressChanged(object sender, EventArgs e) {
if (!Content.UpdateOfRunsInProgress) {
RebuildDataTable();
}
}
#endregion
#region Events
void DataGridView_RowHeaderMouseDoubleClick(object sender, DataGridViewCellMouseEventArgs e) {
if (e.RowIndex >= 0) {
IRun run = runs[stringConvertibleMatrixView.GetRowIndex(e.RowIndex)];
IContentView view = MainFormManager.MainForm.ShowContent(run);
if (view != null) {
view.ReadOnly = this.ReadOnly;
view.Locked = this.Locked;
}
}
}
private void dataTableComboBox_SelectedIndexChanged(object sender, EventArgs e) {
UpdateDataRowComboBox();
}
private void dataRowComboBox_SelectedIndexChanged(object sender, EventArgs e) {
RebuildDataTable();
}
private void addLineToChart_Click(object sender, EventArgs e) {
string resultName = (string)dataTableComboBox.SelectedItem;
string rowName = (string)dataRowComboBox.SelectedItem;
foreach (IRun run in runs) {
DataTable resTable = (DataTable)run.Results[resultName];
DataRow row = resTable.Rows[rowName];
var values = row.Values.ToArray();
double k, d;
LinearLeastSquaresFitting.Calculate(values, out k, out d);
DataRow newRow = new DataRow(row.Name + " Fitted Line");
for (int i = 0; i < values.Count(); i++) {
newRow.Values.Add(k * i + d);
}
if (!resTable.Rows.ContainsKey(newRow.Name))
resTable.Rows.Add(newRow);
}
}
private void addValuesButton_Click(object sender, EventArgs e) {
string resultName = (string)dataTableComboBox.SelectedItem;
string rowName = (string)dataRowComboBox.SelectedItem;
DoubleMatrix sm = (DoubleMatrix)stringConvertibleMatrixView.Content;
Content.UpdateOfRunsInProgress = true;
for (int i = 0; i < runs.Count(); i++) {
IRun run = runs[i];
for (int j = 0; j < sm.ColumnNames.Count(); j++) {
if (stringConvertibleMatrixView.DataGridView.Columns[j].Visible) {
string newResultName = resultName + " " + rowName + " " + sm.ColumnNames.ElementAt(j);
if (!run.Results.ContainsKey(newResultName)) {
run.Results.Add(new KeyValuePair(newResultName, new DoubleValue(sm[i, j])));
}
}
}
}
Content.UpdateOfRunsInProgress = false;
}
#endregion
private void UpdateDataRowComboBox() {
dataRowComboBox.Items.Clear();
var resultName = (string)dataTableComboBox.SelectedItem;
var dataTables = from run in Content
where run.Results.ContainsKey(resultName)
select run.Results[resultName] as DataTable;
var rowNames = (from dataTable in dataTables
from row in dataTable.Rows
select row.Name).Distinct().ToArray();
dataRowComboBox.Items.AddRange(rowNames);
if (dataRowComboBox.Items.Count > 0) dataRowComboBox.SelectedItem = dataRowComboBox.Items[0];
}
private void UpdateDataTableComboBox() {
dataTableComboBox.Items.Clear();
var dataTables = (from run in Content
from result in run.Results
where result.Value is DataTable
select result.Key).Distinct().ToArray();
dataTableComboBox.Items.AddRange(dataTables);
if (dataTableComboBox.Items.Count > 0) dataTableComboBox.SelectedItem = dataTableComboBox.Items[0];
}
private void RebuildDataTable() {
string resultName = (string)dataTableComboBox.SelectedItem;
string rowName = (string)dataRowComboBox.SelectedItem;
string[] columnNames = new string[] { "Count", "Minimum", "Maximum", "Average", "Median", "Standard Deviation", "Variance", "25th Percentile", "75th Percentile", "Gradient", "Relative Error", "Avg. of Upper 25 %", " Avg. of Lower 25 %", "Avg. of First 25 %", "Avg. of Last 25 %" };
runs = Content.Where(x => x.Results.ContainsKey(resultName) && x.Visible).ToList();
DoubleMatrix dt = new DoubleMatrix(runs.Count(), columnNames.Count());
dt.RowNames = runs.Select(x => x.Name);
dt.ColumnNames = columnNames;
int i = 0;
foreach (Run run in runs) {
DataTable resTable = (DataTable)run.Results[resultName];
dt.SortableView = true;
DataRow row = resTable.Rows[rowName];
var values = row.Values.AsEnumerable();
double cnt = values.Count();
double min = values.Min();
double max = values.Max();
double avg = values.Average();
double median = values.Median();
double stdDev = values.StandardDeviation();
double variance = values.Variance();
double percentile25 = values.Percentile(0.25);
double percentile75 = values.Percentile(0.75);
double k, d, r;
LinearLeastSquaresFitting.Calculate(values.ToArray(), out k, out d);
r = LinearLeastSquaresFitting.CalculateError(values.ToArray(), k, d);
double lowerAvg = values.OrderBy(x => x).Take((int)(values.Count() * 0.25)).Average();
double upperAvg = values.OrderByDescending(x => x).Take((int)(values.Count() * 0.25)).Average();
double firstAvg = values.Take((int)(values.Count() * 0.25)).Average();
double lastAvg = values.Skip((int)(values.Count() * 0.75)).Average();
dt[i, 0] = cnt;
dt[i, 1] = min;
dt[i, 2] = max;
dt[i, 3] = avg;
dt[i, 4] = median;
dt[i, 5] = stdDev;
dt[i, 6] = variance;
dt[i, 7] = percentile25;
dt[i, 8] = percentile75;
dt[i, 9] = k;
dt[i, 10] = r;
dt[i, 11] = upperAvg;
dt[i, 12] = lowerAvg;
dt[i, 13] = firstAvg;
dt[i, 14] = lastAvg;
i++;
}
stringConvertibleMatrixView.Content = dt;
for (i = 0; i < runs.Count(); i++) {
stringConvertibleMatrixView.DataGridView.Rows[i].DefaultCellStyle.ForeColor = runs[i].Color;
}
}
}
}