BOOL test1(int nMaxIter = 30, string strFunc = "XSW_ReflectivityFit_Ag100_RmonoConvolution_test5", int nXCol=0, int nYCol=1)
{
    Worksheet wks = Project.ActiveLayer();
    if(!wks)
        return false;
    
    NLFitSession    FitSession;
    int             nDataIndex = 0; // only one set in our case
    DWORD           dwRules = DRR_GET_DEPENDENT | DRR_NO_FACTORS;
    
    // 1. Set fucntion
    if(!FitSession.SetFunction(strFunc, NULL)) // set function, category name can be ignore
        return error_report("invalid fit function");
    
    vector<string>  vsParamNames;
    int 			nParam;
	vector 			vParamValues, vErrors;
    int             nNumParamsInFunction = FitSession.GetParamNamesInFunction(vsParamNames);
    int             nFitOutcome;
    
    DataRange   drInputData;
    drInputData.Add(wks, nXCol, "X");
    drInputData.Add(wks, nYCol, "Y");
    int         nNumData = drInputData.GetNumData(dwRules);
    ASSERT(1==nNumData);
        
    //2 set the dataset
    vector  vX1, vY1;
    drInputData.GetData( dwRules, nDataIndex, NULL, NULL, &vY1, &vX1 );     
    if(!FitSession.SetData(vY1, vX1, NULL, nDataIndex, nNumData))  
        return error_report("err setting data");  
    // 3' Set the init parameters
    vector vParams(nNumParamsInFunction);
    vParams[0] = 2300;//y0
    vParams[1] = 12500;//Amplitude
    vParams[2] = 0.1; //w
    vParams[3] = -0.03; // center
    int nErr = FitSession.SetParamValues(vParams);
    if(nErr != 0)
    	return error_report("Fail to set init parameters: err=" + nErr);

    // 4. Iterate with default settings
    FitSession.SetMaxNumIter(nMaxIter);   
    if(!FitSession.Fit(&nFitOutcome))
    {
        string strOutcome = FitSession.GetFitOutCome(nFitOutcome);
        printf("fit failed:%d->%s\n", nFitOutcome, strOutcome);
        return false;
    }
    // 5. success, get results and put to wksOutput
    RegStats        fitStats;
    NLSFFitInfo     fitInfo;
    FitSession.GetFitResultsStats(&fitStats, &fitInfo, false, nDataIndex);
    FitSession.GetFitResultsParams(vParamValues, vErrors);
	printf("# Iterations=%d, Reduced Chisqr=%g\n", fitInfo.Iterations, fitStats.ReducedChiSq);
    
	for( nParam = 0; nParam < vParamValues.GetSize(); nParam++)
    {
        printf("%s = %f\n", vsParamNames[nParam], vParamValues[nParam]);
    }   
    return true;
}

quote:

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Originally posted by Iris_Bai

Hi Oliver,

NLFitSession not has a way to set error weighting data for now. We will add function to set error data and weight method in Origin8.1.

Iris

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vector vWeights=0;
       	FITsession.SetData(COLsimul_y, COLsimul_x, NULL,0,1, INVALID_DATA_MODE, vWeights);

enum 
{
	DATA_MODE_INDEP_CONSOLID, // the default used in NLFit dialog
	DATA_MODE_INDEP_SEP,	
	DATA_MODE_CONCATENATE,
	DATA_MODE_GLOBAL,
};

quote:

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Originally posted by cpyang

When CB is open, then OC runs much slower if you have a for loop since ESC can break into OC code if CB is open. Your OC based FDF does have a for loop, so it becomes much slower then from dialog where CB is most likely not open.

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quote:

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... OC runs much slower if you have a for loop since ESC can break into OC code if CB is open.

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