Exemple #1
0
        /// <summary>
        /// Membaca data
        /// </summary>
        /// <returns>Series Data hasil pembacaan</returns>
        public SeriesData ReadData()
        {
            SeriesData tmpData;

            seriesDataReader.ReadToFollowing("SeriesData");
            seriesDataReader.ReadStartElement();
            {
                string seriesName = seriesDataReader.ReadElementContentAsString();
                SeriesData.SeriesFrequency freq = (SeriesData.SeriesFrequency)seriesDataReader.ReadElementContentAsInt();
                DateTime startDate = new DateTime();
                DateTime endDate   = new DateTime();
                if (freq != SeriesData.SeriesFrequency.Undated)
                {
                    startDate = XmlConvert.ToDateTime(seriesDataReader.ReadElementContentAsString(), "dd/MM/yyyy");
                    endDate   = XmlConvert.ToDateTime(seriesDataReader.ReadElementContentAsString(), "dd/MM/yyyy");
                }
                else
                {
                    seriesDataReader.Skip();
                    seriesDataReader.Skip();
                }
                int numberObservations = seriesDataReader.ReadElementContentAsInt();

                if (freq != SeriesData.SeriesFrequency.Undated)
                {
                    tmpData = new SeriesData(seriesName, freq, startDate, endDate);
                }
                else
                {
                    tmpData = new SeriesData(seriesName, numberObservations);
                }
            }

            seriesDataReader.ReadStartElement();
            while (seriesDataReader.IsStartElement("SeriesVariable"))
            {
                SeriesVariable tmpVariable;
                seriesDataReader.ReadStartElement();
                {
                    string variableName        = seriesDataReader.ReadElementContentAsString();
                    string variableDescription = seriesDataReader.ReadElementContentAsString();
                    tmpVariable = new SeriesVariable(variableName, variableDescription);
                }
                seriesDataReader.ReadStartElement();
                for (int i = 0; i < tmpData.NumberObservations; i++)
                {
                    tmpVariable.SeriesValues.Add(seriesDataReader.ReadElementContentAsDouble());
                }
                seriesDataReader.ReadEndElement();
                tmpData.SeriesVariables.Add(tmpVariable);
                seriesDataReader.ReadEndElement();
            }

            seriesDataReader.ReadToFollowing("SeriesGroups");
            seriesDataReader.ReadStartElement();
            while (seriesDataReader.IsStartElement("SeriesGroup"))
            {
                SeriesGroup     tmpGroup;
                SeriesVariables tmpGroupList = new SeriesVariables();
                seriesDataReader.ReadStartElement();
                string groupName = seriesDataReader.ReadElementContentAsString();
                seriesDataReader.ReadStartElement();
                while (seriesDataReader.IsStartElement("SeriesVariableItem"))
                {
                    SeriesVariable tmpVariableItem;
                    string         variableName = seriesDataReader.ReadElementContentAsString();
                    tmpVariableItem = tmpData.SeriesVariables[VariableFinder.FindVariableIndex(tmpData.SeriesVariables, variableName)];
                    tmpGroupList.Add(tmpVariableItem);
                }
                tmpGroup = new SeriesGroup(groupName, tmpGroupList);
                seriesDataReader.ReadEndElement();
                tmpData.SeriesGroups.Add(tmpGroup);
                seriesDataReader.ReadEndElement();
            }

            return(tmpData);
        }
Exemple #2
0
        /// <summary>
        /// Membaca hasil pada Result View
        /// </summary>
        /// <param name="data">Series Data rujukan</param>
        /// <returns>Tab Page yang akan ditampilkan pada Result View</returns>
        public List <FATabStripItem> ReadResultPane(SeriesData data)
        {
            List <FATabStripItem> result = new List <FATabStripItem>();
            string tmpString;

            seriesDataReader.ReadToFollowing("ResultPane");
            seriesDataReader.ReadStartElement();

            while (seriesDataReader.IsStartElement("TabPage"))
            {
                seriesDataReader.ReadStartElement();
                tmpString = seriesDataReader.ReadElementContentAsString();
                if (tmpString == "Neural Network")
                {
                    ANNResultTabPage annTp = new ANNResultTabPage();
                    string           title = seriesDataReader.ReadElementContentAsString();
                    tmpString = seriesDataReader.ReadElementContentAsString();
                    int index = VariableFinder.FindVariableIndex(data.SeriesVariables, tmpString);

                    NeuralNetworkAnalysisForm.NetworkSpecification tmpNetSpec = new NeuralNetworkAnalysisForm.NetworkSpecification();
                    seriesDataReader.ReadStartElement();
                    tmpNetSpec.InputLayerNeurons    = seriesDataReader.ReadElementContentAsInt();
                    tmpNetSpec.HiddenLayerNeurons   = seriesDataReader.ReadElementContentAsInt();
                    tmpNetSpec.OutputLayerNeurons   = seriesDataReader.ReadElementContentAsInt();
                    tmpNetSpec.ActivationFunction   = (NeuralNetworkAnalysisForm.ActivationFunctionEnumeration)seriesDataReader.ReadElementContentAsInt();
                    tmpNetSpec.LearningRate         = seriesDataReader.ReadElementContentAsDouble();
                    tmpNetSpec.Momentum             = seriesDataReader.ReadElementContentAsDouble();
                    tmpNetSpec.IncludedObservations = seriesDataReader.ReadElementContentAsInt();
                    tmpNetSpec.Error = seriesDataReader.ReadElementContentAsDouble();
                    tmpNetSpec.MSE   = seriesDataReader.ReadElementContentAsDouble();
                    tmpNetSpec.MAE   = seriesDataReader.ReadElementContentAsDouble();
                    seriesDataReader.ReadEndElement();

                    List <double> tmpPredicted = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpPredicted.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();

                    List <double> tmpForecasted = new List <double>();
                    if (seriesDataReader.IsStartElement("Forecasted"))
                    {
                        seriesDataReader.ReadStartElement();
                        while (seriesDataReader.IsStartElement("Value"))
                        {
                            tmpForecasted.Add(seriesDataReader.ReadElementContentAsDouble());
                        }
                        seriesDataReader.ReadEndElement();
                    }

                    annTp.SetData(data, data.SeriesVariables[index], tmpNetSpec, tmpPredicted.ToArray(), tmpForecasted.ToArray());

                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("View"))
                    {
                        tmpString = seriesDataReader.ReadElementContentAsString();
                        if (tmpString == "AnnModelSummary")
                        {
                            annTp.IsAnnModelSummaryVisible = true;
                        }
                        else if (tmpString == "ActualPredictedResidualDataGrid")
                        {
                            annTp.IsActualPredictedResidualDataGridVisible = true;
                        }
                        else if (tmpString == "ForecastedDataGrid")
                        {
                            annTp.IsForecastedDataGridVisible = true;
                        }
                        else if (tmpString == "ActualAndPredictedGraph")
                        {
                            annTp.IsActualAndPredictedGraphVisible = true;
                        }
                        else if (tmpString == "ActualAndForecastedGraph")
                        {
                            annTp.IsActualAndForecastedGraphVisible = true;
                        }
                        else if (tmpString == "ActualVsPredictedGraph")
                        {
                            annTp.IsActualVsPredictedGraphVisible = true;
                        }
                        else if (tmpString == "ResidualGraph")
                        {
                            annTp.IsResidualGraphVisible = true;
                        }
                        else if (tmpString == "ResidualVsActualGraph")
                        {
                            annTp.IsResidualVsActualGraphVisible = true;
                        }
                        else if (tmpString == "ResidualVsPredictedGraph")
                        {
                            annTp.IsResidualVsPredictedGraphVisible = true;
                        }
                    }
                    seriesDataReader.ReadEndElement();

                    annTp.Title = title;
                    annTp.DrawControl();
                    result.Add(annTp);
                    seriesDataReader.ReadEndElement();
                }
                else if (tmpString == "Moving Average")
                {
                    MAResultTabPage maTp  = new MAResultTabPage();
                    string          title = seriesDataReader.ReadElementContentAsString();
                    tmpString = seriesDataReader.ReadElementContentAsString();
                    int index = VariableFinder.FindVariableIndex(data.SeriesVariables, tmpString);

                    MovingAverageForm.MASpecification tmpMaSpec = new MovingAverageForm.MASpecification();
                    seriesDataReader.ReadStartElement();
                    tmpMaSpec.includedObservations = seriesDataReader.ReadElementContentAsInt();
                    tmpMaSpec.isSingleMA           = seriesDataReader.ReadElementContentAsBoolean();
                    tmpMaSpec.orde   = seriesDataReader.ReadElementContentAsInt();
                    tmpMaSpec.sseMA  = seriesDataReader.ReadElementContentAsDouble();
                    tmpMaSpec.mseMA  = seriesDataReader.ReadElementContentAsDouble();
                    tmpMaSpec.maeMA  = seriesDataReader.ReadElementContentAsDouble();
                    tmpMaSpec.mpeMA  = seriesDataReader.ReadElementContentAsDouble();
                    tmpMaSpec.mapeMA = seriesDataReader.ReadElementContentAsDouble();
                    seriesDataReader.ReadEndElement();

                    MovingAverageForm.MAComponent tmpMaComp = new MovingAverageForm.MAComponent();

                    List <double> tmpSingleMA = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpSingleMA.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpMaComp.singleSmoothed = tmpSingleMA.ToArray();

                    List <double> tmpDoubleMA = new List <double>();
                    if (seriesDataReader.IsStartElement("DoubleMA"))
                    {
                        seriesDataReader.ReadStartElement();
                        while (seriesDataReader.IsStartElement("Value"))
                        {
                            tmpDoubleMA.Add(seriesDataReader.ReadElementContentAsDouble());
                        }
                        seriesDataReader.ReadEndElement();
                        tmpMaComp.doubleSmoothed = tmpDoubleMA.ToArray();
                    }

                    List <double> tmpPredicted = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpPredicted.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpMaComp.predicted = tmpPredicted.ToArray();

                    List <double> tmpResidual = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpResidual.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpMaComp.residual = tmpResidual.ToArray();

                    List <double> tmpForecasted = new List <double>();
                    if (seriesDataReader.IsStartElement("Forecasted"))
                    {
                        seriesDataReader.ReadStartElement();
                        while (seriesDataReader.IsStartElement("Value"))
                        {
                            tmpForecasted.Add(seriesDataReader.ReadElementContentAsDouble());
                        }
                        seriesDataReader.ReadEndElement();
                    }

                    maTp.SetData(data, data.SeriesVariables[index], tmpMaSpec, tmpMaComp, tmpForecasted.ToArray());

                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("View"))
                    {
                        tmpString = seriesDataReader.ReadElementContentAsString();
                        if (tmpString == "MAModelSummary")
                        {
                            maTp.IsMaModelSummaryVisible = true;
                        }
                        else if (tmpString == "MovingAverageDataGrid")
                        {
                            maTp.IsMovingAverageDataGridVisible = true;
                        }
                        else if (tmpString == "Smoothing")
                        {
                            maTp.IsSmoothingVisible = true;
                        }
                        //else if (tmpString == "ActualPredictedResidualDataGrid") maTp.IsActualPredictedResidualDataGridVisible = true;
                        else if (tmpString == "ForecastedDataGrid")
                        {
                            maTp.IsForecastedDataGridVisible = true;
                        }
                        else if (tmpString == "ActualAndPredictedGraph")
                        {
                            maTp.IsActualAndPredictedGraphVisible = true;
                        }
                        else if (tmpString == "ActualAndSmoothedGraph")
                        {
                            maTp.IsActualAndSmoothedGraphVisible = true;
                        }
                        else if (tmpString == "ActualAndForecastedGraph")
                        {
                            maTp.IsActualAndForecastedGraphVisible = true;
                        }
                        else if (tmpString == "ActualVsPredictedGraph")
                        {
                            maTp.IsActualVsPredictedGraphVisible = true;
                        }
                        else if (tmpString == "ResidualGraph")
                        {
                            maTp.IsResidualGraphVisible = true;
                        }
                        else if (tmpString == "ResidualVsActualGraph")
                        {
                            maTp.IsResidualVsActualGraphVisible = true;
                        }
                        else if (tmpString == "ResidualVsPredictedGraph")
                        {
                            maTp.IsResidualVsPredictedGraphVisible = true;
                        }
                    }
                    seriesDataReader.ReadEndElement();

                    maTp.Title = title;
                    maTp.DrawControl();
                    result.Add(maTp);
                    seriesDataReader.ReadEndElement();
                }
                else if (tmpString == "Exponential Smoothing")
                {
                    ESResultTabPage esTp  = new ESResultTabPage();
                    string          title = seriesDataReader.ReadElementContentAsString();
                    tmpString = seriesDataReader.ReadElementContentAsString();
                    int index = VariableFinder.FindVariableIndex(data.SeriesVariables, tmpString);

                    ExponentialSmoothingForm.ESSpecification tmpEsSpec = new ExponentialSmoothingForm.ESSpecification();
                    seriesDataReader.ReadStartElement();
                    tmpEsSpec.includedObservations = seriesDataReader.ReadElementContentAsInt();
                    tmpEsSpec.alpha            = seriesDataReader.ReadElementContentAsDouble();
                    tmpEsSpec.gamma            = seriesDataReader.ReadElementContentAsDouble();
                    tmpEsSpec.beta             = seriesDataReader.ReadElementContentAsDouble();
                    tmpEsSpec.seasonalLength   = seriesDataReader.ReadElementContentAsInt();
                    tmpEsSpec.sseES            = seriesDataReader.ReadElementContentAsDouble();
                    tmpEsSpec.mseES            = seriesDataReader.ReadElementContentAsDouble();
                    tmpEsSpec.maeES            = seriesDataReader.ReadElementContentAsDouble();
                    tmpEsSpec.mpeES            = seriesDataReader.ReadElementContentAsDouble();
                    tmpEsSpec.mapeES           = seriesDataReader.ReadElementContentAsDouble();
                    tmpEsSpec.initialModel     = seriesDataReader.ReadElementContentAsInt();
                    tmpEsSpec.isMultiplicative = seriesDataReader.ReadElementContentAsBoolean();
                    seriesDataReader.ReadEndElement();

                    ExponentialSmoothingForm.ESComponent tmpEsComp = new ExponentialSmoothingForm.ESComponent();

                    List <double> tmpSmoothed = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpSmoothed.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpEsComp.smoothed = tmpSmoothed.ToArray();

                    List <double> tmpTrend = new List <double>();
                    if (seriesDataReader.IsStartElement("Trend"))
                    {
                        seriesDataReader.ReadStartElement();
                        while (seriesDataReader.IsStartElement("Value"))
                        {
                            tmpTrend.Add(seriesDataReader.ReadElementContentAsDouble());
                        }
                        seriesDataReader.ReadEndElement();
                        tmpEsComp.trend = tmpTrend.ToArray();
                    }

                    List <double> tmpSeasonal = new List <double>();
                    if (seriesDataReader.IsStartElement("Seasonal"))
                    {
                        seriesDataReader.ReadStartElement();
                        while (seriesDataReader.IsStartElement("Value"))
                        {
                            tmpSeasonal.Add(seriesDataReader.ReadElementContentAsDouble());
                        }
                        seriesDataReader.ReadEndElement();
                        tmpEsComp.seasonal = tmpSeasonal.ToArray();
                    }

                    List <double> tmpPredicted = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpPredicted.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpEsComp.predicted = tmpPredicted.ToArray();

                    List <double> tmpResidual = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpResidual.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpEsComp.residual = tmpResidual.ToArray();

                    List <double> tmpForecasted = new List <double>();
                    if (seriesDataReader.IsStartElement("Forecasted"))
                    {
                        seriesDataReader.ReadStartElement();
                        while (seriesDataReader.IsStartElement("Value"))
                        {
                            tmpForecasted.Add(seriesDataReader.ReadElementContentAsDouble());
                        }
                        seriesDataReader.ReadEndElement();
                    }

                    esTp.SetData(data, data.SeriesVariables[index], tmpEsSpec, tmpEsComp, tmpForecasted.ToArray());

                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("View"))
                    {
                        tmpString = seriesDataReader.ReadElementContentAsString();
                        if (tmpString == "ESModelSummary")
                        {
                            esTp.IsEsModelSummaryVisible = true;
                        }
                        else if (tmpString == "ExponentialSmoothingDataGrid")
                        {
                            esTp.IsExponentialSmoothingDataGridVisible = true;
                        }
                        else if (tmpString == "Smoothing")
                        {
                            esTp.IsSmoothingVisible = true;
                        }
                        else if (tmpString == "Trend")
                        {
                            esTp.IsSmoothingVisible = true;
                        }
                        else if (tmpString == "Seasonal")
                        {
                            esTp.IsSmoothingVisible = true;
                        }
                        //else if (tmpString == "ActualPredictedResidualDataGrid") maTp.IsActualPredictedResidualDataGridVisible = true;
                        else if (tmpString == "ForecastedDataGrid")
                        {
                            esTp.IsForecastedDataGridVisible = true;
                        }
                        else if (tmpString == "ActualAndPredictedGraph")
                        {
                            esTp.IsActualAndPredictedGraphVisible = true;
                        }
                        else if (tmpString == "ActualAndSmoothedGraph")
                        {
                            esTp.IsActualAndSmoothedGraphVisible = true;
                        }
                        else if (tmpString == "ActualAndForecastedGraph")
                        {
                            esTp.IsActualAndForecastedGraphVisible = true;
                        }
                        else if (tmpString == "ActualVsPredictedGraph")
                        {
                            esTp.IsActualVsPredictedGraphVisible = true;
                        }
                        else if (tmpString == "ResidualGraph")
                        {
                            esTp.IsResidualGraphVisible = true;
                        }
                        else if (tmpString == "ResidualVsActualGraph")
                        {
                            esTp.IsResidualVsActualGraphVisible = true;
                        }
                        else if (tmpString == "ResidualVsPredictedGraph")
                        {
                            esTp.IsResidualVsPredictedGraphVisible = true;
                        }
                    }
                    seriesDataReader.ReadEndElement();

                    esTp.Title = title;
                    esTp.DrawControl();
                    result.Add(esTp);
                    seriesDataReader.ReadEndElement();
                }
                else if (tmpString == "Decomposition")
                {
                    DECResultTabPage decTp = new DECResultTabPage();
                    string           title = seriesDataReader.ReadElementContentAsString();
                    tmpString = seriesDataReader.ReadElementContentAsString();
                    int index = VariableFinder.FindVariableIndex(data.SeriesVariables, tmpString);

                    DecompositionForm.DECSpecification tmpDecSpec = new DecompositionForm.DECSpecification();
                    seriesDataReader.ReadStartElement();
                    tmpDecSpec.includedObservations = seriesDataReader.ReadElementContentAsInt();
                    tmpDecSpec.seasonalLength       = seriesDataReader.ReadElementContentAsInt();
                    tmpDecSpec.sseDEC          = seriesDataReader.ReadElementContentAsDouble();
                    tmpDecSpec.mseDEC          = seriesDataReader.ReadElementContentAsDouble();
                    tmpDecSpec.maeDEC          = seriesDataReader.ReadElementContentAsDouble();
                    tmpDecSpec.mpeDEC          = seriesDataReader.ReadElementContentAsDouble();
                    tmpDecSpec.mapeDEC         = seriesDataReader.ReadElementContentAsDouble();
                    tmpDecSpec.isMultiplikatif = seriesDataReader.ReadElementContentAsBoolean();
                    tmpDecSpec.initialTrend    = seriesDataReader.ReadElementContentAsInt();
                    seriesDataReader.ReadEndElement();

                    List <double> tmpParameters = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpParameters.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpDecSpec.parameters = tmpParameters.ToArray();

                    List <double> tmpSeasonalIdx = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpSeasonalIdx.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpDecSpec.seasonalIdx = tmpSeasonalIdx.ToArray();

                    DecompositionForm.DECComponent tmpDecComp = new DecompositionForm.DECComponent();

                    List <double> tmpTrend = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpTrend.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpDecComp.trend = tmpTrend.ToArray();

                    List <double> tmpDetrend = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpDetrend.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpDecComp.detrend = tmpDetrend.ToArray();

                    List <double> tmpSeasonal = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpSeasonal.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpDecComp.seasonal = tmpSeasonal.ToArray();

                    List <double> tmpDeseasonal = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpDeseasonal.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpDecComp.deseasonal = tmpDeseasonal.ToArray();

                    List <double> tmpPredicted = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpPredicted.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpDecComp.predicted = tmpPredicted.ToArray();

                    List <double> tmpResidual = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpResidual.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpDecComp.residual = tmpResidual.ToArray();

                    List <double> tmpForecasted = new List <double>();
                    if (seriesDataReader.IsStartElement("Forecasted"))
                    {
                        seriesDataReader.ReadStartElement();
                        while (seriesDataReader.IsStartElement("Value"))
                        {
                            tmpForecasted.Add(seriesDataReader.ReadElementContentAsDouble());
                        }
                        seriesDataReader.ReadEndElement();
                    }

                    decTp.SetData(data, data.SeriesVariables[index], tmpDecSpec, tmpDecComp, tmpForecasted.ToArray());

                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("View"))
                    {
                        tmpString = seriesDataReader.ReadElementContentAsString();
                        if (tmpString == "DECModelSummary")
                        {
                            decTp.IsDecModelSummaryVisible = true;
                        }
                        else if (tmpString == "DecompositionDataGrid")
                        {
                            decTp.IsDecompositionDataGridVisible = true;
                        }
                        else if (tmpString == "Trend")
                        {
                            decTp.IsTrendVisible = true;
                        }
                        else if (tmpString == "Detrend")
                        {
                            decTp.IsDetrendVisible = true;
                        }
                        else if (tmpString == "Seasonal")
                        {
                            decTp.IsSeasonalVisible = true;
                        }
                        else if (tmpString == "Deseasonal")
                        {
                            decTp.IsDeseasonalVisible = true;
                        }
                        //else if (tmpString == "ActualPredictedResidualDataGrid") maTp.IsActualPredictedResidualDataGridVisible = true;
                        else if (tmpString == "ForecastedDataGrid")
                        {
                            decTp.IsForecastedDataGridVisible = true;
                        }
                        else if (tmpString == "ActualPredictedAndTrendGraph")
                        {
                            decTp.IsActualPredictedAndTrendGraphVisible = true;
                        }
                        else if (tmpString == "ActualAndForecastedGraph")
                        {
                            decTp.IsActualAndForecastedGraphVisible = true;
                        }
                        else if (tmpString == "ActualVsPredictedGraph")
                        {
                            decTp.IsActualVsPredictedGraphVisible = true;
                        }
                        else if (tmpString == "ResidualGraph")
                        {
                            decTp.IsResidualGraphVisible = true;
                        }
                        else if (tmpString == "ResidualVsActualGraph")
                        {
                            decTp.IsResidualVsActualGraphVisible = true;
                        }
                        else if (tmpString == "ResidualVsPredictedGraph")
                        {
                            decTp.IsResidualVsPredictedGraphVisible = true;
                        }
                        else if (tmpString == "DetrendGraph")
                        {
                            decTp.IsDetrendGraphVisible = true;
                        }
                        else if (tmpString == "DeseasonalGraph")
                        {
                            decTp.IsDeseasonalGraphVisible = true;
                        }
                    }
                    seriesDataReader.ReadEndElement();

                    decTp.Title = title;
                    decTp.DrawControl();
                    result.Add(decTp);
                    seriesDataReader.ReadEndElement();
                }
                else if (tmpString == "Trend Analysis")
                {
                    TrendAnalysisResultTabPage trendTp = new TrendAnalysisResultTabPage();
                    string title = seriesDataReader.ReadElementContentAsString();
                    tmpString = seriesDataReader.ReadElementContentAsString();
                    int index = VariableFinder.FindVariableIndex(data.SeriesVariables, tmpString);

                    TrendAnalysisForm.TrendSpecification tmpTrendSpec = new TrendAnalysisForm.TrendSpecification();
                    seriesDataReader.ReadStartElement();
                    tmpTrendSpec.includedObservations = seriesDataReader.ReadElementContentAsInt();
                    tmpTrendSpec.r               = seriesDataReader.ReadElementContentAsDouble();
                    tmpTrendSpec.rSquare         = seriesDataReader.ReadElementContentAsDouble();
                    tmpTrendSpec.rSquareAdjusted = seriesDataReader.ReadElementContentAsDouble();
                    tmpTrendSpec.sse             = seriesDataReader.ReadElementContentAsDouble();
                    tmpTrendSpec.mse             = seriesDataReader.ReadElementContentAsDouble();
                    tmpTrendSpec.initialModel    = seriesDataReader.ReadElementContentAsInt();
                    seriesDataReader.ReadEndElement();

                    List <double> tmpParameters = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpParameters.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();
                    tmpTrendSpec.parameters = tmpParameters.ToArray();

                    List <double> tmpPredicted = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpPredicted.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();

                    List <double> tmpResidual = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpResidual.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();

                    List <double> tmpForecasted = new List <double>();
                    if (seriesDataReader.IsStartElement("Forecasted"))
                    {
                        seriesDataReader.ReadStartElement();
                        while (seriesDataReader.IsStartElement("Value"))
                        {
                            tmpForecasted.Add(seriesDataReader.ReadElementContentAsDouble());
                        }
                        seriesDataReader.ReadEndElement();
                    }

                    trendTp.SetData(data, data.SeriesVariables[index], tmpTrendSpec, tmpPredicted.ToArray(), tmpForecasted.ToArray(), tmpResidual.ToArray());

                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("View"))
                    {
                        tmpString = seriesDataReader.ReadElementContentAsString();
                        if (tmpString == "TrendAnalysisModelSummary")
                        {
                            trendTp.IsTrendAnalysisModelSummaryVisible = true;
                        }
                        else if (tmpString == "ActualPredictedResidualDataGrid")
                        {
                            trendTp.IsActualPredictedResidualDataGridVisible = true;
                        }
                        else if (tmpString == "ForecastedDataGrid")
                        {
                            trendTp.IsForecastedDataGridVisible = true;
                        }
                        else if (tmpString == "ActualAndPredictedGraph")
                        {
                            trendTp.IsActualAndPredictedGraphVisible = true;
                        }
                        else if (tmpString == "ActualAndForecastedGraph")
                        {
                            trendTp.IsActualAndForecastedGraphVisible = true;
                        }
                        else if (tmpString == "ActualVsPredictedGraph")
                        {
                            trendTp.IsActualVsPredictedGraphVisible = true;
                        }
                        else if (tmpString == "ResidualGraph")
                        {
                            trendTp.IsResidualGraphVisible = true;
                        }
                        else if (tmpString == "ResidualVsActualGraph")
                        {
                            trendTp.IsResidualVsActualGraphVisible = true;
                        }
                        else if (tmpString == "ResidualVsPredictedGraph")
                        {
                            trendTp.IsResidualVsPredictedGraphVisible = true;
                        }
                    }
                    seriesDataReader.ReadEndElement();

                    trendTp.Title = title;
                    trendTp.DrawControl();
                    result.Add(trendTp);
                    seriesDataReader.ReadEndElement();
                }
                else if (tmpString == "Correlogram")
                {
                    CorrelogramResult cTp   = new CorrelogramResult();
                    string            title = seriesDataReader.ReadElementContentAsString();

                    //string lag = seriesDataReader.ReadContentAsString();
                    int  lag        = seriesDataReader.ReadElementContentAsInt();
                    bool whiteNoise = seriesDataReader.ReadElementContentAsBoolean();

                    //seriesDataReader.ReadStartElement();
                    //string lag = seriesDataReader.ReadElementContentAsString();

                    List <double> tmpData = new List <double>();
                    seriesDataReader.ReadStartElement();
                    while (seriesDataReader.IsStartElement("Value"))
                    {
                        tmpData.Add(seriesDataReader.ReadElementContentAsDouble());
                    }
                    seriesDataReader.ReadEndElement();

                    cTp.SetData(tmpData.ToArray(), lag, whiteNoise);
                    cTp.DisplayResult();
                    cTp.Title = title;
                    result.Add(cTp);
                    seriesDataReader.ReadEndElement();
                }
            }

            seriesDataReader.ReadEndElement();

            return(result);
        }