📄 generallinearfit.aspx
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<%@ Page Language="VB" Debug="true" Description="dotnetCHARTING Component" %>
<%@ Register TagPrefix="dotnet" Namespace="dotnetCHARTING" Assembly="dotnetCHARTING"%>
<%@ Import Namespace="System.Drawing" %>
<%@ Import Namespace="System.Drawing.Drawing2D" %>
<%@ Import Namespace="dotnetCHARTING"%>
<HTML>
<HEAD>
<TITLE>.netCHARTING Forecasting Sample</TITLE>
<script runat="server">
Sub Page_Load(sender As [Object], e As EventArgs)
' This sample demonstrates the use of GeneralLinear Forecasting engine in order to
' find the function of best fit from three functions spaces. The data used for which
' the functions are fit is a set of data which represents a FX exchange rate over a given
' period of time. We index the period by the number of days after the inital date and the
' three function spaces are the spaces spanned by the following basis elements:
'
' 1) {(x - 2*x^2)
' 2) {(x - 2*x^2) (x^3 + 1)}
' 3) {(x - 2*x^2) (x^3 + 1), (10*cos(0.003*x))}
'
' The Forecast Chart
ForecastChart.Title = "Exchange"
ForecastChart.TempDirectory = "temp"
ForecastChart.Debug = True
ForecastChart.Size = "800x800"
ForecastChart.LegendBox.Template = "%icon %name"
ForecastChart.YAxis.ScaleRange.ValueLow = 150
' The Forecast data
Dim de As New DataEngine()
de.ConnectionString = "Provider=Microsoft.Jet.OLEDB.4.0;data source=" + Server.MapPath("../../database/chartsample.mdb")
de.DateGrouping = TimeInterval.Days
de.StartDate = New DateTime(1973, 3, 10, 0, 0, 0)
de.EndDate = New DateTime(1984, 12, 10, 23, 59, 59)
de.SqlStatement = "SELECT ID, Value AS q FROM Exchange WHERE Data >= #STARTDATE# AND Data <= #ENDDATE# ORDER BY Data "
'Add a series
Dim scForecast As SeriesCollection = de.GetSeries()
ForecastChart.SeriesCollection.Add(scForecast)
scForecast(0).Name = "Exchange"
scForecast(0).Type = SeriesType.Spline
' Takes off the marker off the line and spline series.
ForecastChart.DefaultSeries.DefaultElement.Marker = New ElementMarker(ElementMarkerType.None)
ForecastChart.ChartAreaLayout.Mode = ChartAreaLayoutMode.Vertical
' Generate a series of standard deviation for the given points
Dim deviation As New Series()
Dim i As Integer
For i = 0 To (scForecast(0).Elements.Count) - 1
Dim el As New Element()
el.XValue = scForecast(0).Elements(i).XValue
el.YValue = 1E-10
deviation.Elements.Add(el)
Next i
' Note that this line is necessary in order to clear the function basis set by previous
' example.
'
ForecastEngine.Options.Reset()
' Set the first model function
'
' The first basis element: (x - 2*x^2)
ForecastEngine.Options.AddSumOfPowerTerms(New Double() {1, - 2}, New Double() {1, 2})
' The second basis element: (1)
ForecastEngine.Options.AddSumOfPowerTerms(New Double() {1}, New Double() {0})
' Generate a new series which will draw the best fit line according with the model function which we just set
Dim generalLinearModel1 As New Series()
generalLinearModel1 = ForecastEngine.Advanced.GeneralLinear(scForecast(0), deviation)
generalLinearModel1.Name = "Model1"
generalLinearModel1.Type = SeriesType.Spline
'The next three lines display no to the chart the given function used
' to fit the curve
generalLinearModel1.Elements(1500).SmartLabel.Text = "Function 1: %Function"
generalLinearModel1.Elements(1500).ShowValue = True
ForecastChart.SeriesCollection.Add(generalLinearModel1)
' Set the second model function ; we add x^3 function to the basis functions
ForecastEngine.Options.AddSumOfPowerTerms(New Double() {1, 2}, New Double() {3, 0})
' Generate a new series which will draw the best fit line according with the model function which we just set
Dim generalLinearModel2 As New Series()
generalLinearModel2 = ForecastEngine.Advanced.GeneralLinear(scForecast(0), deviation)
generalLinearModel2.Name = "Model2"
generalLinearModel2.DefaultElement.Color = Color.FromArgb(255, 99, 49)
generalLinearModel2.Type = SeriesType.Spline
'The next three lines display no to the chart the given function used
' to fit the curve
generalLinearModel2.Elements(600).SmartLabel.Text = "Function 2: %Function"
generalLinearModel2.Elements(600).SmartLabel.Color = Color.FromArgb(255, 99, 49)
generalLinearModel2.Elements(600).ShowValue = True
ForecastChart.SeriesCollection.Add(generalLinearModel2)
' Set the third model function ; we add 10*cos(0.003*x)function to the basis functions
ForecastEngine.Options.AddCosineSum(New Double() {10}, New Double() {0.003}, New Double() {0}, New Double() {1})
' Generate a new series which will draw the best fit line according with the model function which we just set
Dim generalLinearModel3 As New Series()
generalLinearModel3 = ForecastEngine.Advanced.GeneralLinear(scForecast(0), deviation)
generalLinearModel3.Name = "Model3"
generalLinearModel3.DefaultElement.Color = Color.FromArgb(0, 0, 0)
generalLinearModel3.Type = SeriesType.Spline
'The next three lines display no to the chart the given function used
' to fit the curve
generalLinearModel3.Elements(1600).SmartLabel.Text = "Function 3: %Function"
' The label will have the same color as the element which he represents
generalLinearModel3.Elements(1600).SmartLabel.Color = Color.FromArgb(0, 0, 0)
generalLinearModel3.Elements(1600).ShowValue = True
ForecastChart.SeriesCollection.Add(generalLinearModel3)
End Sub 'Page_Load
</script>
</HEAD>
<BODY>
<DIV align="center">
<dotnet:Chart id="ForecastChart" runat="server"/>
</dotnet:Chart>
</DIV>
</BODY>
</HTML>
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