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How to implement an Exponentially Modified Gaussian Fit?

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Hello, I am trying to find a way to create an Exponentially Modified Gaussian Fit to an array of data. According to labview (http://www.ni.com/white-paper/6954/en/) it's possible to do through the Nonlinear Curve Fit VI and the Error Function VI, but I can't figure out a way to implement it, the formula is available in the link as well. I am looking at chromatography data if that makes a difference.

 

Has anyone found a way to do this? Or would anyone be willing to take a crack at it? I've seen a previous post on the topic where the solution was a polynomial expansion or other numerical approximation of the erf, but my skills are developing and I don't know how to do this either.

 

Attached is a sample array that I would like to be able to fit with the EMG function.

 

Thanks for your time!

 


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