Most fitting VIs have a mandatory input for X that is required to be the same sizes as the Y input. If left unwired, an error results, even though the x input is not designated a a required input for some reason.
Many times we want to fit a plain 1D array where the X value for each Y is simply the corresponding array index. In this case, the data and best fit arrays can be graphed on a waveform graph and we can ignore x entirely. This is now much cleaner and simpler than to construct the data for a multiplot xy graph.
Here is an example of a polynomial fit to a sine function, showing what we currently need to do. This idea would eliminate the need for the small FOR loop and associated wires:
My Idea is that most fitting VIs should assume a simple ramp if X is unwired.
(Applies to all fit function that have an X input and generate an error if it is left unwired: linear fit, polynominal fit, etc. )
Exceptions:
Fitting VIs that currently don't have a mandatory x input, e.g. "Nonlinear Fit" don't need to change, because it is up to the model to make assumptions about x. We already have full flexibility.
