private void Ribbon_Load(object sender, RibbonUIEventArgs e)
{
// Initialize the required classes to work.
dataSetManagerPresenter = new DataSetManagerPresenter();
lagPresenter = new LagPresenter(dataSetManagerPresenter);
xrChartPresenter = new XRChartPresenter(dataSetManagerPresenter);
pChartPresenter = new PChartPresenter(dataSetManagerPresenter);
dummyPresenter = new DummyPresenter(dataSetManagerPresenter);
correlationcovariancePresenter = new CorrelationCovariancePresenter(dataSetManagerPresenter);
unstackedPresenter = new UnstackedPresenter(dataSetManagerPresenter);
processCapabilityPresenter = new ProcessCapabilityPresenter(dataSetManagerPresenter);
timeSeriesGraphPresenter = new TimeSeriesGraphPresenter(dataSetManagerPresenter);
oneVariableSummaryPresenter = new OneVariableSummaryPresenter(dataSetManagerPresenter);
histogramPresenter = new HistogramPresenter(dataSetManagerPresenter);
scatterPlotPresenter = new ScatterPlotPresenter(dataSetManagerPresenter);
boxWhiskerPlotPresenter = new BoxWhiskerPlotPresenter(dataSetManagerPresenter);
sampleSizeEstimationPresenter = new SampleSizeEstimationPresenter(dataSetManagerPresenter);
oneWayAnovaPresenter = new OneWayAnovaPresenter(dataSetManagerPresenter);
runsTestForRandomnessPresenter = new RunsTestForRandomnessPresenter(dataSetManagerPresenter);
forecastPresenter = new ForecastPresenter(dataSetManagerPresenter);
confidencePresenter1 = new ConfidencePresenter1(dataSetManagerPresenter);
confidencePresenter2 = new ConfidencePresenter2(dataSetManagerPresenter);
hypothesePresenter1 = new HypothesePresenter1(dataSetManagerPresenter);
hypothesePresenter2 = new HypothesePresenter2(dataSetManagerPresenter);
autoCorrPresenter = new AutoCorrPresenter(dataSetManagerPresenter);
interactionPresenter = new InteractionPresenter(dataSetManagerPresenter);
chiKwadraatPresenter = new ChiKwadraatPresenter(dataSetManagerPresenter);
regressionPresenter = new RegressionPresenter(dataSetManagerPresenter);
discriminantAnalysePresenter = new DiscriminantAnalysePresenter(dataSetManagerPresenter);
// Add Event Handlers for the click events of the buttons.
btnDataSetManager.Click += delegate { dataSetManagerPresenter.openDataSetManager(); };
btnLag.Click += delegate { lagPresenter.openView(); };
btnDummy.Click += delegate { dummyPresenter.openView(); };
btnOneVariableSummary.Click += delegate { oneVariableSummaryPresenter.openView(); };
btnCorrelationAndCovariance.Click += delegate { correlationcovariancePresenter.openView(); };
btnHistogram.Click += delegate { histogramPresenter.openView(); };
btnScatterplot.Click += delegate { scatterPlotPresenter.openView(); };
btnBoxWhiskerPlot.Click += delegate { boxWhiskerPlotPresenter.openView(); };
btnSampleSize.Click += delegate { sampleSizeEstimationPresenter.openView(); };
btnAnova.Click += delegate { oneWayAnovaPresenter.openView(); };
btnRunsTestForRandomness.Click += delegate { runsTestForRandomnessPresenter.openView(); };
btnForecast.Click += delegate { forecastPresenter.openView(); };
btnLogisticRegression.Click += delegate { logisticRegressionForm = logisticRegressionForm.createAndOrShowForm(); };
btnXRChart.Click += delegate { xrChartPresenter.openView(); };
btnPChart.Click += delegate { pChartPresenter.openView(); };
btnProcessCapability.Click += delegate { processCapabilityPresenter.openView(); };
btnTimeSeriesGraph.Click += delegate { timeSeriesGraphPresenter.openView(); };
btnSimpleRegression.Click += delegate { regressionPresenter.openView(); };
btnUnstacked.Click += delegate { unstackedPresenter.openView(); };
btnMeanConf.Click += delegate { confidencePresenter1.openView(); };
btnProportionConf.Click += delegate { confidencePresenter2.openView(); };
btnHypoMean.Click += delegate { hypothesePresenter1.openView(); };
btnHypoProp.Click += delegate { hypothesePresenter2.openView(); };
button4.Click += delegate { autoCorrPresenter.openView(); };
btnInteraction.Click += delegate { interactionPresenter.openView(); };
button3.Click += delegate { chiKwadraatPresenter.openView(); };
btnDiscriminantAnalysis.Click += delegate { discriminantAnalysePresenter.openView(); };
}
public void setPresenter(AutoCorrPresenter AutoCorrPresenter)
{
this.presenter = AutoCorrPresenter;
bindModelToView();
selectDataSet(selectedDataSet());
}