//批量区间估计
public ActionResult BatchIntervalCalculation(double BatchConfidenceLevel, double yMin, double yMax, int Y_Axis, int intervalTypeSelection, double favg, double fsigma, int langlryExpTableId)
{
LangleyExperimentTable langlryExpTable = dbDrive.GetLangleyExperimentTable(langlryExpTableId);
List <LangleyDataTable> ldts = dbDrive.GetAllLangleyDataTable(langlryExpTable.let_Id);
ldts.RemoveRange(ldts.Count - 1, 1);
var xOrVArray = LangleyPublic.XAndVArrays(ldts);
xOrVArray.vArray = LangleyPublic.IsFlipTheResponse(langlryExpTable, xOrVArray.vArray);
var lr = LangleyPublic.SelectState(langlryExpTable);
var srd = lr.BatchIntervalCalculate(yMax, yMin, Y_Axis, BatchConfidenceLevel, favg, fsigma, xOrVArray.xArray, xOrVArray.vArray, intervalTypeSelection);
LangleyPublic.sideReturnData = srd;
LangleyPublic.aArray.Clear();
LangleyPublic.bArray.Clear();
LangleyPublic.cArray.Clear();
double ceiling = srd.responsePoints.Min();
double lower = srd.responsePoints.Max();
for (int i = 0; i < srd.responseProbability.Length; i++)
{
LangleyPublic.aArray.Add("[" + srd.responsePoints[i] + "," + srd.responseProbability[i] + "]");
if (double.IsInfinity(srd.Y_Ceilings[i]))
{
LangleyPublic.bArray.Add("[" + lower + "," + srd.responseProbability[i] + "]");
}
else
{
LangleyPublic.bArray.Add("[" + srd.Y_Ceilings[i] + "," + srd.responseProbability[i] + "]");
}
if (double.IsInfinity(srd.Y_LowerLimits[i]))
{
LangleyPublic.cArray.Add("[" + ceiling + "," + srd.responseProbability[i] + "]");
}
else
{
LangleyPublic.cArray.Add("[" + srd.Y_LowerLimits[i] + "," + srd.responseProbability[i] + "]");
}
}
if (intervalTypeSelection == 0)
{
LangleyPublic.incredibleIntervalType = "拟然比区间计算-单侧置信区间";
}
else
{
LangleyPublic.incredibleIntervalType = "拟然比区间计算-双侧置信区间";
}
LangleyPublic.incredibleLevelName = BatchConfidenceLevel.ToString();
return(Json(true));
}
public ActionResult ResponsePointIntervalEstimate(double reponseProbability2, double confidenceLevel2, double cjl, double favg, double fsigma, int langlryExpTableId)
{
LangleyExperimentTable langlryExpTable = dbDrive.GetLangleyExperimentTable(langlryExpTableId);
List <LangleyDataTable> ldts = dbDrive.GetAllLangleyDataTable(langlryExpTable.let_Id);
ldts.RemoveRange(ldts.Count - 1, 1);
var xOrVArray = LangleyPublic.XAndVArrays(ldts);
xOrVArray.vArray = LangleyPublic.IsFlipTheResponse(langlryExpTable, xOrVArray.vArray);
var lr = LangleyPublic.SelectState(langlryExpTable);
var ies = lr.ResponsePointIntervalEstimate(xOrVArray.xArray, xOrVArray.vArray, reponseProbability2, confidenceLevel2, cjl, favg, fsigma);
string[] value = { "(" + ies[0].Confidence.Down.ToString("f6") + "," + ies[0].Confidence.Up.ToString("f6") + ")", "(" + ies[0].Mu.Down.ToString("f6") + "," + ies[0].Mu.Up.ToString("f6") + ")", "(" + ies[0].Sigma.Down.ToString("f6") + "," + ies[0].Sigma.Up.ToString("f6") + ")", "(" + ies[1].Confidence.Down.ToString("f6") + "," + ies[1].Confidence.Up.ToString("f6") + ")", "(" + ies[1].Mu.Down.ToString("f6") + "," + ies[1].Mu.Up.ToString("f6") + ")", "(" + ies[1].Sigma.Down.ToString("f6") + "," + ies[1].Sigma.Up.ToString("f6") + ")" };
return(Json(value));
}
public ActionResult InsertData(string response, string sq, int langlryExpTableId)
{
LangleyExperimentTable langlryExpTable = dbDrive.GetLangleyExperimentTable(langlryExpTableId);
List <LangleyDataTable> langleyDataTables = dbDrive.GetAllLangleyDataTable(langlryExpTable.let_Id);
var xOrVArray = LangleyPublic.XAndVArrays(langleyDataTables);
if (sq != null && sq != "")
{
xOrVArray.xArray[langleyDataTables.Count - 1] = double.Parse(sq);
}
if (response != null && response != "")
{
xOrVArray.vArray[langleyDataTables.Count - 1] = int.Parse(response);
}
else
{
xOrVArray.vArray[langleyDataTables.Count - 1] = 0;
}
var lr = LangleyPublic.SelectState(langlryExpTable);
dbDrive.Update(LangleyPublic.UpdateLangleyDataTable(langlryExpTable, lr, xOrVArray.xArray, xOrVArray.vArray, langleyDataTables[langleyDataTables.Count - 1]));
//增加一条新数据
double StimulusQuantity = lr.CalculateStimulusQuantity(xOrVArray.xArray, xOrVArray.vArray, langlryExpTable.let_StimulusQuantityCeiling, langlryExpTable.let_StimulusQuantityFloor, langlryExpTable.let_PrecisionInstruments);
var isTrue = dbDrive.Insert(LangleyPublic.LangleyDataTables(langlryExpTableId, dbDrive, double.Parse(StimulusQuantity.ToString("f6"))));
var xOrVArray2 = LangleyPublic.XAndVArrays(dbDrive.GetAllLangleyDataTable(langlryExpTable.let_Id));
xOrVArray2.vArray = LangleyPublic.IsFlipTheResponse(langlryExpTable, xOrVArray2.vArray);
if (langlryExpTable.let_FlipTheResponse == 1)
{
for (int i = 0; i < xOrVArray2.vArray.Length - 1; i++)
{
if (xOrVArray2.vArray[i] == 0)
{
xOrVArray2.vArray[i] = 1;
}
else
{
xOrVArray2.vArray[i] = 0;
}
}
}
string[] value = { isTrue.ToString(), (xOrVArray2.xArray.Length - 1).ToString(), lr.GetNM(xOrVArray2.xArray, xOrVArray2.vArray), StimulusQuantity.ToString() };
return(Json(value));
}
