Owning Palette: Point By Point 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 Fitting PtByPt VIs to fit data to a model and perform interpolation and extrapolation.
The VIs on this palette can return point by point error codes.
| Palette Object | Description |
|---|---|
| Exponential Fit Coefficients PtByPt | Finds the exponential coefficients amplitude and damping, using the least-squares solution, which describe the exponential curve that best represents the set of input data points specified by sample length. |
| Exponential Fit PtByPt | Finds the exponential curve values and the exponential coefficients amplitude and damping, using the least-squares solution, which describe the exponential curve that best represents the input set of data points defined by sample length. |
| General LS Linear Fit PtByPt | Finds the Best Fit k-dimensional plane and the set of linear coefficients for the set of input data points specified by sample length. |
| General Polynomial Fit PtByPt | Finds the polynomial curve values and the set of Polynomial Fit Coefficients which describe the polynomial curve that best represents the set of input data points specified by sample length. |
| Linear Fit Coefficients PtByPt | Finds the coefficients slope and intercept, using the least-squares solution, which describe the line that best represents the set of input data points. |
| Linear Fit PtByPt | Finds the line values and the coefficients slope and intercept, using the least-squares solution, that describe the line that best represents the set of input data points specified by sample length. |