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difference between LinFit and LinEv1D?

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I'm struggling to understand the true difference between these functions.  They both seem to output a linearized array, based on input arrays of data.

 

From all the sample projects and the help, I'm not getting it.  What am I missing?

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The first function performs a fit, the second a scaling of the input array.

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Solution
Accepted by topic author ElectroLund

Generally speaking, all "Fit" functions accept X and Y arrays and calculate the interpolant stored in an additional Y array, optionally rewriting the original one.They are used to calculate an aproximation of actual data.

On the other hand, "Ev" functions accept only the X array in input and calculate the value of the Y array given some criterion: in case of linear evaluation you must pass slope and intercept, with polinomial one you must pass the whole set of coefficients given the degree of the polynomial. Functions output a new Y array calculated from scratch. Evaluation function are used to try guessing some phenomenon based on a theoric model.



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