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Custom inverse prediction for quadratic (and higher orders) models

Status: Needs Info Submitted by on ‎05-03-2022 08:54 AM
4 Comments (4 New)

In the fit curve platform the option to have a inverse prediction is not available for quadratic models. It would be nice to add it. Of course if possible to include cubic and others it would be top.

 

 

4 Comments
Sarah-Sylvestre
Level V
‎11-28-2022 04:09 PM
‎11-28-2022 04:09 PM
Status changed to: Acknowledged

Hi @friedrich, thank you for your suggestion! We have captured your request and will take it under consideration.

SamGardner
Level VII
‎12-01-2022 08:31 PM
‎12-01-2022 08:31 PM
Status changed to: Needs Info

@friedrich thank you for your suggestion.  I have a follow up question.  With a quadratic or higher order polynomial model, there is a possibility that that the fitted function will not be monotonic, and for a given Y value there could be two possible inverse solutions.  How would you propose that situation be handled?  

SamGardner_0-1669944697770.png

 

friedrich
Level II
‎12-20-2022 04:51 AM
‎12-20-2022 04:51 AM

@SamGardner , would it be possible to have both solutions in the output ? Or the user may choose before if he wants the result for the 1st or 2nd solution ?

QubitQueen100
Level I
‎05-02-2024 07:49 PM
‎05-02-2024 07:49 PM

I agree this would be helpful! I ran a standard curve with x as concentration and y as fluorescence. I now would like to predict concentration when given RFU. A 3rd-order polynomial fits my data well. However, I have to enter the fluorescence value one at a time using this workaround: https://community.jmp.com/t5/Discussions/inverse-prediction-using-quadratic-model/m-p/221830#M44262

 

I agree with friedrich ^ that all solutions could be output, or user could choose to display all real number solutions.