public static void RunSimulation(Excel.Application app, Excel.Workbook wbh, int nboots, double significance, double threshold, UserSimulation.Classification c, Random r, String outfile, long max_duration_in_ms, String logfile, ProgBar pb, PrepData prepdata, CellDict errors)
{
// write header if needed
if (!System.IO.File.Exists(outfile))
{
System.IO.File.AppendAllText(outfile, Simulation.HeaderRowForCSV());
}
// CheckCell weighted, all outputs, quantile
//var s_1 = new UserSimulation.Simulation();
//s_1.RunFromBatch(nboots, // number of bootstraps
// wbh.FullName, // Excel filename
// significance, // statistical significance threshold for hypothesis test
// app, // Excel.Application
// new QuantileCutoff(0.05), // max % extreme values to flag
// c, // classification data
// r, // random number generator
// UserSimulation.AnalysisType.CheckCell5,// analysis type
// true, // weighted analysis
// true, // use all outputs for analysis
// prepdata.graph, // AnalysisData
// wbh, // Excel.Workbook
// errors, // pre-generated errors
// prepdata.terminal_input_nodes, // input range nodes
// prepdata.terminal_formula_nodes, // output nodes
// prepdata.original_inputs, // original input values
// prepdata.correct_outputs, // original output values
// max_duration_in_ms, // max duration of simulation
// logfile);
//System.IO.File.AppendAllText(outfile, s_1.FormatResultsAsCSV());
pb.IncrementProgress();
// CheckCell weighted, all outputs, quantile
var s_4 = new UserSimulation.Simulation();
s_4.RunFromBatch(nboots, // number of bootstraps
wbh.FullName, // Excel filename
significance, // statistical significance of threshold
app, // Excel.Application
new QuantileCutoff(0.10), // max % extreme values to flag
c, // classification data
r, // random number generator
UserSimulation.AnalysisType.CheckCell10, // analysis type
true, // weighted analysis
true, // use all outputs for analysis
prepdata.dag, // AnalysisData
wbh, // Excel.Workbook
errors, // pre-generated errors
prepdata.terminal_input_nodes, // input range nodes
prepdata.terminal_formula_nodes, // output nodes
prepdata.original_inputs, // original input values
prepdata.correct_outputs, // original output values
max_duration_in_ms, // max duration of simulation
logfile);
System.IO.File.AppendAllText(outfile, s_4.FormatResultsAsCSV());
pb.IncrementProgress();
// Normal, all inputs
var s_2 = new UserSimulation.Simulation();
s_2.RunFromBatch(nboots, // irrelevant
wbh.FullName, // Excel filename
significance, // normal cutoff?
app, // Excel.Application
new NormalCutoff(threshold), // ??
c, // classification data
r, // random number generator
UserSimulation.AnalysisType.NormalAllInputs, // analysis type
true, // irrelevant
true, // irrelevant
prepdata.dag, // AnalysisData
wbh, // Excel.Workbook
errors, // pre-generated errors
prepdata.terminal_input_nodes, // input range nodes
prepdata.terminal_formula_nodes, // output nodes
prepdata.original_inputs, // original input values
prepdata.correct_outputs, // original output values
max_duration_in_ms, // max duration of simulation
logfile);
System.IO.File.AppendAllText(outfile, s_2.FormatResultsAsCSV());
pb.IncrementProgress();
// Normal, range inputs
//var s_3 = new UserSimulation.Simulation();
//s_3.RunFromBatch(nboots, // irrelevant
// wbh.FullName, // Excel filename
// significance, // normal cutoff?
// app, // Excel.Application
// new NormalCutoff(threshold), // ??
// c, // classification data
// r, // random number generator
// UserSimulation.AnalysisType.NormalPerRange, // analysis type
// true, // irrelevant
// true, // irrelevant
// prepdata.graph, // AnalysisData
// wbh, // Excel.Workbook
// errors, // pre-generated errors
// prepdata.terminal_input_nodes, // input range nodes
// prepdata.terminal_formula_nodes, // output nodes
// prepdata.original_inputs, // original input values
// prepdata.correct_outputs, // original output values
// max_duration_in_ms, // max duration of simulation
// logfile);
//System.IO.File.AppendAllText(outfile, s_3.FormatResultsAsCSV());
pb.IncrementProgress();
}
public static void RunSimulation(Excel.Application app, Excel.Workbook wbh, int nboots, double significance, double threshold, UserSimulation.Classification c, Random r, String outfile, long max_duration_in_ms, String logfile, ProgBar pb, PrepData prepdata, CellDict errors)
{
// write header if needed
if (!System.IO.File.Exists(outfile))
{
System.IO.File.AppendAllText(outfile, Simulation.HeaderRowForCSV());
}
// CheckCell weighted, all outputs, quantile
//var s_1 = new UserSimulation.Simulation();
//s_1.RunFromBatch(nboots, // number of bootstraps
// wbh.FullName, // Excel filename
// significance, // statistical significance threshold for hypothesis test
// app, // Excel.Application
// new QuantileCutoff(0.05), // max % extreme values to flag
// c, // classification data
// r, // random number generator
// UserSimulation.AnalysisType.CheckCell5,// analysis type
// true, // weighted analysis
// true, // use all outputs for analysis
// prepdata.graph, // AnalysisData
// wbh, // Excel.Workbook
// errors, // pre-generated errors
// prepdata.terminal_input_nodes, // input range nodes
// prepdata.terminal_formula_nodes, // output nodes
// prepdata.original_inputs, // original input values
// prepdata.correct_outputs, // original output values
// max_duration_in_ms, // max duration of simulation
// logfile);
//System.IO.File.AppendAllText(outfile, s_1.FormatResultsAsCSV());
pb.IncrementProgress();
// CheckCell weighted, all outputs, quantile
var s_4 = new UserSimulation.Simulation();
s_4.RunFromBatch(nboots, // number of bootstraps
wbh.FullName, // Excel filename
significance, // statistical significance of threshold
app, // Excel.Application
new QuantileCutoff(0.10), // max % extreme values to flag
c, // classification data
r, // random number generator
UserSimulation.AnalysisType.CheckCell10,// analysis type
true, // weighted analysis
true, // use all outputs for analysis
prepdata.dag, // AnalysisData
wbh, // Excel.Workbook
errors, // pre-generated errors
prepdata.terminal_input_nodes, // input range nodes
prepdata.terminal_formula_nodes, // output nodes
prepdata.original_inputs, // original input values
prepdata.correct_outputs, // original output values
max_duration_in_ms, // max duration of simulation
logfile);
System.IO.File.AppendAllText(outfile, s_4.FormatResultsAsCSV());
pb.IncrementProgress();
// Normal, all inputs
var s_2 = new UserSimulation.Simulation();
s_2.RunFromBatch(nboots, // irrelevant
wbh.FullName, // Excel filename
significance, // normal cutoff?
app, // Excel.Application
new NormalCutoff(threshold), // ??
c, // classification data
r, // random number generator
UserSimulation.AnalysisType.NormalAllInputs, // analysis type
true, // irrelevant
true, // irrelevant
prepdata.dag, // AnalysisData
wbh, // Excel.Workbook
errors, // pre-generated errors
prepdata.terminal_input_nodes, // input range nodes
prepdata.terminal_formula_nodes, // output nodes
prepdata.original_inputs, // original input values
prepdata.correct_outputs, // original output values
max_duration_in_ms, // max duration of simulation
logfile);
System.IO.File.AppendAllText(outfile, s_2.FormatResultsAsCSV());
pb.IncrementProgress();
// Normal, range inputs
//var s_3 = new UserSimulation.Simulation();
//s_3.RunFromBatch(nboots, // irrelevant
// wbh.FullName, // Excel filename
// significance, // normal cutoff?
// app, // Excel.Application
// new NormalCutoff(threshold), // ??
// c, // classification data
// r, // random number generator
// UserSimulation.AnalysisType.NormalPerRange, // analysis type
// true, // irrelevant
// true, // irrelevant
// prepdata.graph, // AnalysisData
// wbh, // Excel.Workbook
// errors, // pre-generated errors
// prepdata.terminal_input_nodes, // input range nodes
// prepdata.terminal_formula_nodes, // output nodes
// prepdata.original_inputs, // original input values
// prepdata.correct_outputs, // original output values
// max_duration_in_ms, // max duration of simulation
// logfile);
//System.IO.File.AppendAllText(outfile, s_3.FormatResultsAsCSV());
pb.IncrementProgress();
}