Advanced Curve Fitting下載 PDF選擇的小節所選的小節與子小節完整手冊已更新2025-07-30閱讀時間為 2 分鐘LabVIEWAPI 參考LabVIEW G Use the Advanced Curve Fitting VIs to compute additional fit statistics and coefficients. The VIs on this palette can return mathematics error codes. Remove Outliers VIRemoves data points that fall outside a given range or within a given index array. You must manually select the polymorphic instance you want to use.Goodness of Fit VICalculates three statistical parameters, SSE, R-square, and RMSE, that describe how well a fitted model matches the original data set.Nonlinear Curve Fit Intervals VICalculates statistical intervals of the best nonlinear fit for a data set (X, Y).Linear Fit Intervals VICalculates statistical intervals of the best linear fit for a data set (X, Y). You must manually select the polymorphic instance to use.Exponential Fit Intervals VICalculates statistical intervals of the best exponential fit for a data set (X, Y). You must manually select the polymorphic instance to use.Power Fit Intervals VICalculates statistical intervals of the best power fit for a data set (X, Y). You must manually select the polymorphic instance to use.Gaussian Peak Fit Intervals VICalculates statistical intervals of the best Gaussian fit for a data set (X, Y). You must manually select the polymorphic instance to use.Logarithm Fit Intervals VICalculates statistical intervals of the best logarithmic fit for a data set (X, Y). You must manually select the polymorphic instance to use.Polynomial Fit Intervals VICalculates statistical intervals of the best polynomial fit for a data set (X, Y).Linear Fit Coefficients VIReturns the slope and intercept of the linear fit for a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.Exponential Fit Coefficients VIReturns the amplitude and damping of the exponential fit for a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.Power Fit Coefficients VIReturns the amplitude and power of the power fit for a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.Gaussian Peak Fit Coefficients VIReturns the amplitude, center, and standard deviation of the Gaussian fit for a data set (X, Y).Logarithm Fit Coefficients VIReturns the amplitude and scale of the logarithmic fit for a data set (X, Y).General Polynomial Fit Coefficients VIReturns the Polynomial Coefficients of the general polynomial fit for a data set (X, Y) using the Least Square, Least Absolute Residue, or Bisquare methods.Parent topic: Fitting
Use the Advanced Curve Fitting VIs to compute additional fit statistics and coefficients. The VIs on this palette can return mathematics error codes. Remove Outliers VIRemoves data points that fall outside a given range or within a given index array. You must manually select the polymorphic instance you want to use.Goodness of Fit VICalculates three statistical parameters, SSE, R-square, and RMSE, that describe how well a fitted model matches the original data set.Nonlinear Curve Fit Intervals VICalculates statistical intervals of the best nonlinear fit for a data set (X, Y).Linear Fit Intervals VICalculates statistical intervals of the best linear fit for a data set (X, Y). You must manually select the polymorphic instance to use.Exponential Fit Intervals VICalculates statistical intervals of the best exponential fit for a data set (X, Y). You must manually select the polymorphic instance to use.Power Fit Intervals VICalculates statistical intervals of the best power fit for a data set (X, Y). You must manually select the polymorphic instance to use.Gaussian Peak Fit Intervals VICalculates statistical intervals of the best Gaussian fit for a data set (X, Y). You must manually select the polymorphic instance to use.Logarithm Fit Intervals VICalculates statistical intervals of the best logarithmic fit for a data set (X, Y). You must manually select the polymorphic instance to use.Polynomial Fit Intervals VICalculates statistical intervals of the best polynomial fit for a data set (X, Y).Linear Fit Coefficients VIReturns the slope and intercept of the linear fit for a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.Exponential Fit Coefficients VIReturns the amplitude and damping of the exponential fit for a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.Power Fit Coefficients VIReturns the amplitude and power of the power fit for a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.Gaussian Peak Fit Coefficients VIReturns the amplitude, center, and standard deviation of the Gaussian fit for a data set (X, Y).Logarithm Fit Coefficients VIReturns the amplitude and scale of the logarithmic fit for a data set (X, Y).General Polynomial Fit Coefficients VIReturns the Polynomial Coefficients of the general polynomial fit for a data set (X, Y) using the Least Square, Least Absolute Residue, or Bisquare methods.Parent topic: Fitting
Use the Advanced Curve Fitting VIs to compute additional fit statistics and coefficients. The VIs on this palette can return mathematics error codes. Remove Outliers VIRemoves data points that fall outside a given range or within a given index array. You must manually select the polymorphic instance you want to use.Goodness of Fit VICalculates three statistical parameters, SSE, R-square, and RMSE, that describe how well a fitted model matches the original data set.Nonlinear Curve Fit Intervals VICalculates statistical intervals of the best nonlinear fit for a data set (X, Y).Linear Fit Intervals VICalculates statistical intervals of the best linear fit for a data set (X, Y). You must manually select the polymorphic instance to use.Exponential Fit Intervals VICalculates statistical intervals of the best exponential fit for a data set (X, Y). You must manually select the polymorphic instance to use.Power Fit Intervals VICalculates statistical intervals of the best power fit for a data set (X, Y). You must manually select the polymorphic instance to use.Gaussian Peak Fit Intervals VICalculates statistical intervals of the best Gaussian fit for a data set (X, Y). You must manually select the polymorphic instance to use.Logarithm Fit Intervals VICalculates statistical intervals of the best logarithmic fit for a data set (X, Y). You must manually select the polymorphic instance to use.Polynomial Fit Intervals VICalculates statistical intervals of the best polynomial fit for a data set (X, Y).Linear Fit Coefficients VIReturns the slope and intercept of the linear fit for a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.Exponential Fit Coefficients VIReturns the amplitude and damping of the exponential fit for a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.Power Fit Coefficients VIReturns the amplitude and power of the power fit for a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method.Gaussian Peak Fit Coefficients VIReturns the amplitude, center, and standard deviation of the Gaussian fit for a data set (X, Y).Logarithm Fit Coefficients VIReturns the amplitude and scale of the logarithmic fit for a data set (X, Y).General Polynomial Fit Coefficients VIReturns the Polynomial Coefficients of the general polynomial fit for a data set (X, Y) using the Least Square, Least Absolute Residue, or Bisquare methods.Parent topic: Fitting
