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- See also Telitab access for a generic description on the use of TeLiTab data
- Similar to other Data analysis functions, the SPLINT is a convenient way to evaluate data. Please also look at these functions for syntax examples.
- The routine contains a cubic spline interpolator. A spline is a curve from which the second derivative is a continuous function. The spline interpolated is a natural spline with zero second derivatives at both ends. Extrapolation outside the x-range is performed parabolic.
- Please realise the dataset provided to SPLINT should be a function. Every x-value should have one y-value. When you do not have a valid dataset, please look at GAUSSINT() or LEASQ()
Quick links: SPLINTFunctions overview | Attribute overview | Constants overview | Dimensions overview