//---------------------------------------------------------------------------------------------------//
//
//
//
private void GenerateDataPoints()
{
updateParameters();
// var AN_jumps = new AlphanumericDataset();
// AN_jumps.Name = "Distance Of Individual Jumps";
// AN_jumps.ListOfObservations = new List<string>();
// var AN_cons = new AlphanumericDataset();
// AN_cons.Name = "Distance Of Consecutive Jumps";
// AN_cons.ListOfObservations = new List<string>();
// var prev_val = new double[m];
// var AN_Walkers = new AlphanumericDataset();
// AN_Walkers.Name = "Poisson Walkers";
// AN_Walkers.ListOfObservations = new List<string>();
var f = new double[m];
for (int k = 0; k < m; k++)
{
f[k] = (NumericStart.Value > 0? (double)NumericStart.Value * 0.01 : getInitialValue());
//f[k] = (double) (NumericStart.Value);
raw_paths.Add(new AlphanumericDataset());
raw_paths[k].Name = (k).ToString();
raw_paths[k].ListOfObservations = new List <string>();
MyPen.Add(new Pen(Color.FromArgb(150, rand.Next(256), rand.Next(256), rand.Next(256)), 1));
prev_X.Add(Viewport.Left);
prev_Y.Add(Viewport.Bottom - Viewport.Height / 2);
}
AlphanumericDataset DistSamples;
for (int i = 0; i < n; i++)
{
double index = (double)(i + 1);
// if(i == n-1)
// {
// DistSamples = new AlphanumericDataset();
// DistSamples.ListOfObservations = new List<string>();
// DistSamples.Name = i.ToString();
// }
for (int k = 0; k < m; k++)
{
double val = updateVal(n, p, lambda, sigma, A, B, L, f[k], index);
// Console.WriteLine("{0} updated", k);
f[k] = f[k] + val;
raw_paths[k].ListOfObservations.Add((f[k]).ToString());
if (i == n - 1)
{
// store all paths in dataset
var DS = new UnivariateDataset <double>() as IUnivariateDataset;
DS.Init(raw_paths[k]);
// calculate statistics
// sample max
if (double.Parse(DS.M) > max)
{
max = double.Parse(DS.M);
}
//sample min
if (double.Parse(DS.m) < min)
{
min = double.Parse(DS.m);
}
//sample range
range = max - min;
//sample mean ?
//mean += (double.Parse(DS.AM) - mean)/(k+1);
// expected value?
//variance?
myds.UnivariateDatasets.Add(DS.Name, DS);
myds.Labels.Add(DS.Name);
//distribution samples
// DistSamples.ListOfObservations.Add((f[k]).ToString());
}
}
}
// var DS = new UnivariateDataset<double>() as IUnivariateDataset;
// DS.Init(DistSamples);
// myds.UnivariateDatasets.Add(DS.Name, DS);
// myds.Labels.Add(DS.Name);
//var ordered = ListOfRects.OrderBy(rect => -rect.Top);
// int x_index = 0;
// foreach(var rect in ListOfRects)
// {
// var new_rect = new Rectangle(rect.Left, (int) (Viewport.Bottom - Viewport.Height/2 - (Viewport.Height/2)*rect.Top/1000), rect.Width, (int)(size*Viewport.Height/2));
// g.FillRectangle(new SolidBrush(Color.FromArgb(200, 0, 0, 0)), new_rect );
// g.DrawRectangle(new Pen(Color.FromArgb( 255, 255, 255)), new_rect );
// x_index+=1;
// }
// var myds = new GenericDataset();
// var DS = new UnivariateDataset<int>();
// DS.isNumeric = true;
// DS.Init(AN_jumps);
// myds.IntDictionary.Add(DS.Name, DS);
// myds.Labels.Add(DS.Name);
// DS = new UnivariateDataset<int>();
// DS.isNumeric = true;
// DS.Init(AN_cons);
// myds.IntDictionary.Add(DS.Name, DS);
// myds.Labels.Add(DS.Name);
// var DDS = new UnivariateDataset<double>();
// DDS.isNumeric = true;
// DDS.Init(AN_Walkers);
// myds.DoubleDictionary.Add(DDS.Name, DDS);
// myds.Labels.Add(DDS.Name);
// myds.Log();
// FormUA UA = new FormUA(myds);
// UA.Show();
}
//
// Confirm Click
//
private void Confirm()
{
Console.WriteLine("confirm");
if (Columns == null)
{
return;
}
myds = new GenericDataset();
foreach (var col in Columns)
{
var v2 = col.GetType().GetProperty("DataType").GetValue(col, null);
//Console.WriteLine(v2);
if (col.DataType == typeof(int))
{
var DS = new UnivariateDataset <int>() as IUnivariateDataset;
DS.Init(col);
if (!myds.UnivariateDatasets.ContainsKey(DS.Name))
{
myds.UnivariateDatasets.Add(DS.Name, DS);
}
else
{
DS.Name = DS.Name + "1";
myds.UnivariateDatasets.Add(DS.Name, DS);
}
myds.Labels.Add(DS.Name);
}
else if (col.DataType == typeof(double))
{
var DS = new UnivariateDataset <double>() as IUnivariateDataset;
DS.Init(col);
if (!myds.UnivariateDatasets.ContainsKey(DS.Name))
{
myds.UnivariateDatasets.Add(DS.Name, DS);
}
else
{
DS.Name = DS.Name + "1";
myds.UnivariateDatasets.Add(DS.Name, DS);
}
myds.Labels.Add(DS.Name);
}
else if (col.DataType == typeof(DateTime))
{
var DS = new UnivariateDataset <DateTime>() as IUnivariateDataset;
DS.Init(col);
if (!myds.UnivariateDatasets.ContainsKey(DS.Name))
{
myds.UnivariateDatasets.Add(DS.Name, DS);
}
else
{
DS.Name = DS.Name + "1";
myds.UnivariateDatasets.Add(DS.Name, DS);
}
myds.Labels.Add(DS.Name);
}
else if (col.DataType == typeof(string))
{
var DS = new UnivariateDataset <string>() as IUnivariateDataset;
DS.Name = col.Name;
DS.Init(col);
//DS.Log();
if (!myds.UnivariateDatasets.ContainsKey(DS.Name))
{
myds.UnivariateDatasets.Add(DS.Name, DS);
}
else
{
DS.Name = DS.Name + "1";
myds.UnivariateDatasets.Add(DS.Name, DS);
}
myds.Labels.Add(DS.Name);
}
}
//myds.Log();
//StatApp parent = (StatApp)this.Owner;
//parent.Confirm(myds);
//this.Close();
}
private void InitializeComponent(GenericDataset myds, int width, int height)
{
this.Dataset = myds;
var DS = new UnivariateDataset <double>() as IUnivariateDataset;
var col = new AlphanumericDataset();
col.Name = "Default X";
col.ListOfObservations = new List <string>();
//Console.WriteLine(col.DataType);
foreach (var i in Enumerable.Range(1, Dataset.GetVariableCount(Dataset.Labels[0])))
{
col.ListOfObservations.Add(i.ToString());
}
//DS.isNumeric = true;
DS.Init(col);
if (!Dataset.UnivariateDatasets.ContainsKey(DS.Name))
{
Dataset.UnivariateDatasets.Add(DS.Name, DS);
}
else
{
DS.Name = DS.Name + "1";
Dataset.UnivariateDatasets.Add(DS.Name, DS);
}
Dataset.Labels.Add(DS.Name);
Dataset.Log();
Console.WriteLine("Added {0}", DS.Name);
this.Width = width;
int sidebarWidth = (int)(this.Width * 0.3);
this.PointSettings = new System.Windows.Forms.GroupBox();
this.SelectLabel = new System.Windows.Forms.ComboBox();
this.PickPointColor = new System.Windows.Forms.Button();
this.DisplayPointColor = new System.Windows.Forms.RichTextBox();
this.DisplayLabel = new System.Windows.Forms.CheckBox();
this.PickLabelColor = new System.Windows.Forms.Button();
this.DisplayLabelColor = new System.Windows.Forms.RichTextBox();
this.DisplayLabel.CheckedChanged += new System.EventHandler(this.onDisplayLabelChange);
MyPlotDataView view = new MyPlotDataView();
//this.Height = view.PointSettings(0, 0, sidebarWidth, PointSettings, SelectLabel, PickPointColor, DisplayPointColor, DisplayLabel, PickLabelColor, DisplayLabelColor);
this.VarXSettings = new System.Windows.Forms.GroupBox();
this.SelectVarX = new System.Windows.Forms.ComboBox();
this.PickXColor = new System.Windows.Forms.Button();
this.DisplayXColor = new System.Windows.Forms.RichTextBox();
this.IntervalX = new System.Windows.Forms.NumericUpDown();
this.SelectVarX.SelectedIndexChanged += new System.EventHandler(this.onVarXChange);
this.IntervalX.Value = 10;
this.Height = view.VariableSettings("X", 0, 0, sidebarWidth, VarXSettings, SelectVarX, IntervalX);
this.VarYSettings = new System.Windows.Forms.GroupBox();
this.SelectVarY = new System.Windows.Forms.ComboBox();
this.PickYColor = new System.Windows.Forms.Button();
this.DisplayYColor = new System.Windows.Forms.RichTextBox();
this.IntervalY = new System.Windows.Forms.NumericUpDown();
this.SelectVarY.SelectedIndexChanged += new System.EventHandler(this.onVarYChange);
this.IntervalY.Value = 10;
this.Height += view.VariableSettings("Y", 0, this.Height, sidebarWidth, VarYSettings, SelectVarY, IntervalY);
this.ClearChartButton = new System.Windows.Forms.Button();
this.StatisticsGroupBox = new System.Windows.Forms.GroupBox();
this.ContingencyTableButton = new System.Windows.Forms.Button();
this.PlotDataButton = new System.Windows.Forms.Button();
this.ClearChartButton.Click += new System.EventHandler(this.onClearClick);
this.PlotDataButton.Click += new System.EventHandler(this.onPlotClick);
this.ContingencyTableButton.Click += new System.EventHandler(this.onCTClick);
this.Height += view.StatisticsControls(0, this.Height, sidebarWidth, StatisticsGroupBox, PlotDataButton, ContingencyTableButton);
this.PlotDataButton.Text = "Refresh Chart";
//
// ClearChartButton Button
//
ClearChartButton.Text = "Clear Chart";
ClearChartButton.Name = "ClearChartButton";
int ClearChartButtonX = view.marginX;
int ClearChartButtonY = this.StatisticsGroupBox.Height;
ClearChartButton.Location = new System.Drawing.Point(ClearChartButtonX, ClearChartButtonY);
ClearChartButton.Height = view.stdButtonHeight;
ClearChartButton.Width = this.StatisticsGroupBox.Width - 2 * view.marginX;
StatisticsGroupBox.Height += ClearChartButton.Height + 2 * view.marginY;
this.Height += ClearChartButton.Height + 2 * view.marginY;
StatisticsGroupBox.Controls.Add(ClearChartButton);
this.DisplayDataSettings = new System.Windows.Forms.GroupBox();
this.DataTable = new System.Windows.Forms.ListView();
this.DataTable.View = View.Details;
MyImportCSV ctr = new MyImportCSV();
this.Height += ctr.DisplayData(0, this.Height, sidebarWidth, 0, this.DisplayDataSettings, this.DataTable);
DisplayDataSettings.Text = "Calculated Statistics";
this.DisplayDataSettings.Anchor = (
(System.Windows.Forms.AnchorStyles)(
(System.Windows.Forms.AnchorStyles.Top) | (System.Windows.Forms.AnchorStyles.Bottom) |
(System.Windows.Forms.AnchorStyles.Left)
));
this.DataTable.Anchor = (
(System.Windows.Forms.AnchorStyles)(
(System.Windows.Forms.AnchorStyles.Top) | (System.Windows.Forms.AnchorStyles.Bottom) |
(System.Windows.Forms.AnchorStyles.Left)
));
this.ChartGroupBox = new System.Windows.Forms.GroupBox();
this.Chart = new System.Windows.Forms.PictureBox();
int temp = view.ChartView(sidebarWidth, 0, width - sidebarWidth, 0, this.ChartGroupBox, this.Chart);
if (temp > this.Height)
{
this.Height = temp;
}
else
{
this.ChartGroupBox.Height = this.Height - 30;
}
this.Controls.Add(this.ChartGroupBox);
this.Controls.Add(this.DisplayDataSettings);
this.Controls.Add(this.StatisticsGroupBox);
this.Controls.Add(this.VarYSettings);
this.Controls.Add(this.VarXSettings);
//this.Controls.Add(this.PointSettings);
this.ClientSize = new System.Drawing.Size(this.Width, this.Height);
this.Text = "Plot Data";
InitializeGraphics();
InitializeLabels();
InitializeListView();
InitializeVariables();
}
//---------------------------------------------------------------------------------------------------//
//
//
//
private void PopulateUnivariateDatabase()
{
Database = new BivariateDataset();
var X = new UnivariateDataset <int>();
string variableName = (SelectVar.SelectedIndex < 0)? SelectVar.Items[0].ToString() :SelectVar.Text;
int count = Dataset.GetVariableCount(variableName);
HistoRect = new List <Rectangle>();
// Min
X.Min = 1;
Database.Min = new Tuple <string, string>(Dataset.GetMinAsString(variableName), X.Min.ToString());
var item = this.DataTable.Items[0];
item.SubItems.Clear();
item.Text = LVStatistics[0];
item.SubItems.Add(Database.Min.Item2);
item.SubItems.Add(Database.Min.Item1);
// Max
X.Max = count;
Database.Max = new Tuple <string, string>(Dataset.GetMaxAsString(variableName), X.Max.ToString());
item = this.DataTable.Items[1];
item.SubItems.Clear();
item.Text = LVStatistics[1];
item.SubItems.Add(Database.Max.Item2);
item.SubItems.Add(Database.Max.Item1);
// Range
X.Range = X.Max - X.Min;
Database.Range = new Tuple <string, string>(Dataset.GetRangeAsString(variableName), X.Range.ToString());
item = this.DataTable.Items[2];
item.SubItems.Clear();
item.Text = LVStatistics[2];
item.SubItems.Add(Database.Range.Item2);
item.SubItems.Add(Database.Range.Item1);
// arithmetic mean
X.ArithmeticMean = count / 2;
Tuple <string, string> tuple = new Tuple <string, string>(Dataset.GetAMAsString(variableName), X.ArithmeticMean.ToString());
Database.AM = tuple;
item = this.DataTable.Items[3];
item.SubItems.Clear();
item.Text = LVStatistics[3];
item.SubItems.Add(Database.AM.Item2);
item.SubItems.Add(Database.AM.Item1);
var YR = Dataset.getY(variableName, Riemann.Bottom, Riemann.Height);
// Points
foreach (var i in Enumerable.Range(0, YR.Count))
{
var point = new MyPoint();
point.X = X.X_viewport((i + 1).ToString(), Riemann.Left, Riemann.Width);
point.Y = YR[i];
Database.DataPoints.Add(point);
}
int nx = (int)Interval.Value;
if (nx == 0)
{
nx = 1;
}
int interval_x = (Riemann.Width / nx) + 1;
int ny = (int)Interval.Value;
if (ny == 0)
{
ny = 1;
}
int interval_y = (Lebesgue.Height / ny) + 1;
int start1 = Riemann.Left;
int start2 = Lebesgue.Top - Riemann.Top + 1;
Database.CalculateDistributions(start1, interval_x, start2, interval_y);
if (populated == false)
{
populated = true;
}
if (SelectVar.SelectedIndex < 0)
{
SelectVar.SelectedIndex = 0;
}
}