public ActionResult UpdateUPparSeting()
{
var sr = new StreamReader(Request.InputStream);
var stream = sr.ReadToEnd();
JavaScriptSerializer js = new JavaScriptSerializer();
UpDownExperiment upDownExperiment = ude;
upDownExperiment.udt_Distribution = js.Deserialize <UpDownExperiment>(stream).udt_Distribution;
var isTure = dbDrive.Update(upDownExperiment);
double[] xArray = new double[udv.Count];
int[] vArray = new int[udv.Count];
for (int i = 0; i < udv.Count; i++)
{
xArray[i] = udv[i].dtup_Standardstimulus;
vArray[i] = LiftingPublic.Filp(udv[i].dtup_response, upDownExperiment.udt_Flipresponse);
}
var lr = LiftingPublic.SelectState(upDownExperiment);
var up = lr.GetReturn(xArray, vArray, upDownExperiment.udt_Initialstimulus, upDownExperiment.udt_Stepd, out double z, upDownExperiment.udt_Instrumentresolution, out double z1);
double[] prec = lr.GetPrec(up.μ0_final, up.σ0_final);
var group = upDownExperiment.udt_Groupingstate == 0 ? "不分组" : "多组试验";
double[] rpse = lr.ResponsePointStandardError(up.Sigma_mu, up.Sigma_sigma);
string[] str = { isTure.ToString(), up.μ0_final.ToString(), up.σ0_final.ToString(), up.Sigma_mu.ToString(), up.Sigma_sigma.ToString(), up.A.ToString(), up.M.ToString(), up.B.ToString(), up.b.ToString(), prec[1].ToString(), prec[0].ToString(), rpse[0].ToString(), rpse[1].ToString(), up.p.ToString(), up.G.ToString(), up.n.ToString(), up.H.ToString(), "升降法：" + lr.DistributionNameAndMethodStandardName() + "/" + group };//[0]表示修改状态，[1]代表修改后的试验参数
return(Json(str));
}
public ActionResult Likelihood(double BatchConfidenceLevel, double yMin, double yMax, int Y_Axis, int intervalTypeSelection, double favg, double fsigma, int ExperimentalId, int udg_id)
{
UpDownExperiment ude = dbDrive.GetUpDownExperiment(ExperimentalId);
List <UpDownDataTable> list_udt = dbDrive.GetUpDownDataTables(udg_id);
var lr = LiftingPublic.SelectState(ude);
double[] xArray = new double[list_udt.Count];
int[] vArray = new int[list_udt.Count];
for (int i = 0; i < list_udt.Count; i++)
{
xArray[i] = list_udt[i].dtup_Initialstimulus;
vArray[i] = LiftingPublic.Filp(list_udt[i].dtup_response, ude.udt_Flipresponse);
}
var srd = lr.QuasiLikelihoodRatioMethod(yMax, yMin, Y_Axis, BatchConfidenceLevel, favg, fsigma, xArray, 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 ResponsePointIntervalEstimation(int ExperimentalId, int udg_id, double Srb_ProbabilityResponse, double Srb_Confidencelevel, double fq, double favg, double fsigma)
{
List <UpDownView> list_udv = dbDrive.GetUpDownViews(udg_id);
UpDownExperiment upDownExperiment = dbDrive.GetUpDownExperiment(ExperimentalId);
double[] xArray = new double[list_udv.Count];
int[] vArray = new int[list_udv.Count];
for (int i = 0; i < list_udv.Count; i++)
{
xArray[i] = list_udv[i].dtup_Initialstimulus;
vArray[i] = LiftingPublic.Filp(list_udv[i].dtup_response, upDownExperiment.udt_Flipresponse);
}
var ies = LiftingPublic.SelectState(upDownExperiment).ResponsePointIntervalEstimated(Srb_ProbabilityResponse, Srb_Confidencelevel, xArray, vArray, fq, favg, fsigma);
string[] str = { "(" + 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(str));
}