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  1. See also Telitab access for a generic description on the use of TeLiTab data
  2. Similar to other Data analysis functions, the SPLINT is a convenient way to evaluate data. Please also look at these functions for syntax examples.
  3. 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.
  4. 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() orLEASQ()

Quick links: Function overview | Attribute overview | Constants overview | Dimensions overview