public LogRegressionResults GetRegressionResult(GadgetParameters gadgetOptions, List <string> columnNames, List <DictionaryDTO> inputDtoList, IEnumerable <EwavDataFilterCondition> ewavDataFilters, List <EwavRule_Base> rules, string filterString = "", string customFilter = "")
{
if (gadgetOptions.UseAdvancedDataFilter)
{
dh = new DashboardHelper(gadgetOptions, filterString, rules);
gadgetOptions.UseAdvancedDataFilter = true;
gadgetOptions.AdvancedDataFilterText = filterString;
}
else
{
dh = new DashboardHelper(gadgetOptions, ewavDataFilters, rules);
}
DataTable dt;
Dictionary <string, string> inputVariableList = RegressionManager.ConvertDtoToDic(inputDtoList);
//LogRegressionResults results = new LogRegressionResults();
StatisticsRepository.LogisticRegression logisticRegression = new StatisticsRepository.LogisticRegression();
try
{
dt = dh.GenerateTable(columnNames, gadgetOptions, customFilter);
}
catch (System.Exception e)
{
throw new Exception("Error retrieving data from Dashboard Helper");
//results.ErrorMessage = e.Message;
//return results;
}
StatisticsRepository.LogisticRegression.LogisticRegressionResults regressionResults = logisticRegression.LogisticRegression(inputVariableList, dt);
LogRegressionResults results = RegressionManager.ConvertToLogRegResults(regressionResults);
//results.CasesIncluded = results.RegressionResults1.CasesIncluded;
//results.Convergence = results.RegressionResults1.Convergence;
//results.FinalLikelihood = results.RegressionResults1.FinalLikelihood;
//results.Iterations = results.RegressionResults1.Iterations;
//results.LRDF = results.RegressionResults1.LRDF;
//results.LRP = results.RegressionResults1.LRP;
//results.LRStatistic = results.RegressionResults1.LRStatistic;
//results.ScoreDF = results.RegressionResults1.ScoreDF;
//results.ScoreP = results.RegressionResults1.ScoreP;
//results.ScoreStatistic = results.RegressionResults1.ScoreStatistic;
//if (results.RegressionResults1.ErrorMessage != null)
//{
// results.ErrorMessage = results.RegressionResults1.ErrorMessage.Replace("<tlt>", string.Empty).Replace("</tlt>", string.Empty);
//}
//results.Variables = results.RegressionResults1.Variables;
return(results);
}
public LinRegressionResults GetRegressionResult(GadgetParameters gadgetOptions, List <string> columnNames, List <DictionaryDTO> inputDtoList, IEnumerable <EwavDataFilterCondition> ewavDataFilters, List <EwavRule_Base> rules, string filterString = "")
{
if (gadgetOptions.UseAdvancedDataFilter)
{
dh = new DashboardHelper(gadgetOptions, filterString, rules);
gadgetOptions.UseAdvancedDataFilter = true;
gadgetOptions.AdvancedDataFilterText = filterString;
}
else
{
dh = new DashboardHelper(gadgetOptions, ewavDataFilters, rules);
}
DataTable dt;
LinRegressionResults results = new LinRegressionResults();
try
{
dt = dh.GenerateTable(columnNames, gadgetOptions);
}
catch (Exception e)
{
results.ErrorMessage = e.Message;
return(results);
}
Dictionary <string, string> inputVariableList = RegressionManager.ConvertDtoToDic(inputDtoList);
StatisticsRepository.LinearRegression linearRegression = new StatisticsRepository.LinearRegression();
StatisticsRepository.LinearRegression.LinearRegressionResults regressionResults = linearRegression.LinearRegression(inputVariableList, dt);
results.RegressionResults = RegressionManager.ConvertToLinRegResults(regressionResults);
results.CorrelationCoefficient = results.RegressionResults.CorrelationCoefficient;
results.RegressionDf = results.RegressionResults.RegressionDf;
results.RegressionF = results.RegressionResults.RegressionF;
results.RegressionMeanSquare = results.RegressionResults.RegressionMeanSquare;
results.RegressionSumOfSquares = results.RegressionResults.RegressionSumOfSquares;
results.ResidualsDf = results.RegressionResults.ResidualsDf;
results.ResidualsMeanSquare = results.RegressionResults.ResidualsMeanSquare;
results.ResidualsSumOfSquares = results.RegressionResults.ResidualsSumOfSquares;
results.TotalDf = results.RegressionResults.TotalDf;
results.TotalSumOfSquares = results.RegressionResults.TotalSumOfSquares;
results.Variables = results.RegressionResults.Variables;
if (results.RegressionResults.ErrorMessage != null)
{
results.ErrorMessage = results.RegressionResults.ErrorMessage.Replace("<tlt>", string.Empty).Replace("</tlt>", string.Empty);
}
return(results);
}
