******************************************************************************* Wed May 5 23:45:09 2021 FIT: data read from $MyDataSet1 format = z #datapoints = 20 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a * sin(b + c*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9403199694e+01 0.00e+00 1.61e+00 1.000000e+00 1.000000e+00 1.000000e+00 5 3.1804191771e-01 -7.62e-01 1.61e-05 1.459390e+00 3.238126e-01 7.090995e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.318042 rel. change during last iteration : -7.61996e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.136778 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0187083 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.45939 +/- 0.04388 (3.007%) b = 0.323813 +/- 0.0298 (9.202%) c = 0.709099 +/- 0.008096 (1.142%) correlation matrix of the fit parameters: a b c a 1.000 b -0.022 1.000 c -0.157 0.120 1.000 ******************************************************************************* Wed May 5 23:45:09 2021 FIT: data read from $MyDataSet1 format = z #datapoints = 20 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a * sin(b + c*x) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9403199694e+01 0.00e+00 1.61e+00 1.000000e+00 1.000000e+00 1.000000e+00 5 3.1804191771e-01 -7.62e-01 1.61e-05 1.459390e+00 3.238126e-01 7.090995e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.318042 rel. change during last iteration : -7.61996e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.136778 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0187083 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.45939 +/- 0.04388 (3.007%) b = 0.323813 +/- 0.0298 (9.202%) c = 0.709099 +/- 0.008096 (1.142%) correlation matrix of the fit parameters: a b c a 1.000 b -0.022 1.000 c -0.157 0.120 1.000