Owning Palette: Fitting VIs
Requires: Full Development System. This topic might not match its corresponding palette in LabVIEW depending on your operating system, licensed product(s), and target.
Use the Advanced Curve Fitting VIs to compute additional fit statistics and coefficients.
The VIs on this palette can return mathematics error codes.
| Palette Object | Description |
|---|---|
| Exponential Fit Coefficients | Returns the amplitude and damping of the exponential fit for a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method. |
| Exponential Fit Intervals | Calculates statistical intervals of the best exponential fit for a data set (X, Y). You must manually select the polymorphic instance to use. |
| Gaussian Peak Fit Coefficients | Returns the amplitude, center, and standard deviation of the Gaussian fit for a data set (X, Y). |
| Gaussian Peak Fit Intervals | Calculates statistical intervals of the best Gaussian fit for a data set (X, Y). You must manually select the polymorphic instance to use. |
| General Polynomial Fit Coefficients | Returns the Polynomial Coefficients of the general polynomial fit for a data set (X, Y) using the Least Square, Least Absolute Residue, or Bisquare methods. |
| Goodness of Fit | Calculates three statistical parameters, SSE, R-square, and RMSE, that describe how well a fitted model matches the original data set. |
| Linear Fit Coefficients | Returns the slope and intercept of the linear fit for a data set (X, Y) using the Least Square, Least Absolute Residual, or Bisquare method. |
| Linear Fit Intervals | Calculates statistical intervals of the best linear fit for a data set (X, Y). You must manually select the polymorphic instance to use. |
| Logarithm Fit Coefficients | Returns the amplitude and scale of the logarithmic fit for a data set (X, Y). |
| Logarithm Fit Intervals | Calculates statistical intervals of the best logarithmic fit for a data set (X, Y). You must manually select the polymorphic instance to use. |
| Nonlinear Curve Fit Intervals | Calculates statistical intervals of the best nonlinear fit for a data set (X, Y). |
| Polynomial Fit Intervals | Calculates statistical intervals of the best polynomial fit for a data set (X, Y). |
| Remove Outliers | Removes 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. |