TimeSeriesForecastPlot Statbean®

Other properties for creating a time series forecasting model are inherited from the java.awt.Canvas class and from the general GraphicalStatbean class.

Time Series Visualization Tool Code Sample 

//create a datasource bean 
FileDataSource fileDataSource1 = new STATBEANS.FileDataSource(); 

//set the file name to be read 
fileDataSource1.setFileName("c:\\statbeans\\samples\\bridge.txt"); 

//create a forecasting bean 
TimeSeriesForecast forecast1 = new STATBEANS.TimeSeriesForecast(); 

//set variable name 
forecast1.setTimeSeriesVariableName("traffic"); 

//set time scale 
forecast1.setTimeScale("month"); 
forecast1.setStartTime("1/86"); 
forecast1.setSeasonalLength(12); 

//set number of forecasts desired 
forecast1.setNumberOfForecasts(24); 

//set model type and parameters 
forecast1.setModelType("ARIMA"); 
forecast1.setArimaD(1); 
forecast1.setArimaMA(1); 
forecast1.setArimaSD(1); 
forecast1.setArimaSMA(1); 
forecast1.setArimaIncludeConstant(false); 

//create a plot bean 
TimeSeriesForecastPlot plot1 = new STATBEANS.TimeSeriesForecastPlot(); 

//set plot features 
plot1.setBounds(36,12,450,300); 
plot1.setHighlightPointOnMouseClick(true); 
plot1.setShowPointClickedMessage(true); 

//restrict amount of historical data plotted 
plot1.setLastPeriodsToPlot(120); 

//add the plot to the application frame 
add(plot1); 

//make the forecasting bean a listener for changes in the FileDataSource bean 
fileDataSource1.addDataChangeListener(forecast1.listenerForDataChange); 

//make the plot bean a listener for changes in the forecasting bean 
forecast1.addDataChangeListener(plot1.listenerForDataChange); 

//instruct the fileDataSource bean to read the file 
fileDataSource1.readData();