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  • Image to Table JMP extension imports single or batch images as data tables. Useful to extract curves from pictures or convert image data to curve data to use in analyses like Functional Data Explorer. Download and install the extension.

Discussions

Solve problems, and share tips and tricks with other JMP users.
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OneFunViet
Level I

Analysis Option

I had JMP data files that I need to determine what is best analysis plot or model to use. I have X-Y axis that variable that response to Z value. I want to use that best analysis model/plot to determine the behavior and response.  I include the JMP with changed of labels avoid giving away the detail of the work. Z axis that I am interesting in the thickness of materials in well.  Thank you.

3 REPLIES 3

Re: Analysis Option

It sounds like you are trying to see the relationships between your inputs/controls and Lay Thickness. If that is the case, you could think about fitting a linear regression model in Analyze > Fit Model. You could also consider using one of the options in Analyze > Predictive Modeling.

OneFunViet
Level I

Re: Analysis Option

Thank you for the suggestion. I did consider the FIT Model. I tried your suggestion for Predictive model and try Neural and Partition.  I am confuse what does those suggest?

dlehman1
Level VI

Re: Analysis Option

Can you provide more detail about the nature of your data - how derived and the meaning of the variables?  You have 2 Thickness variables (you said that you wanted to explain the thickness), but those two variables look like a designed experiment to span a two-dimensional range of thickness measurements. I don't see any randomness is either of those. Instead, you have 4 continuous factors that appear to exhibit randomness. So, it looks to me like the data is from a designed experiment with combinations of these 4 factors that result in those fixed combinations of 2 dimensional thickness. I'm not a DOE person, but there are many in this community and I'm pretty sure they can help you with the analysis - but it doesn't look like a standard prediction model to me. I think some more details about the nature of the data and how it was collected would be most useful to the community.

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