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  • JMP Security Notice: CVE-2026-109618 and CVE-2026-109619

    JMP promptly initiated a review of its products, services, and relevant infrastructure for exposure to CVE-2026-109618 and CVE-2026-109619.

    Our assessment of JMP products has not identified exposure to these vulnerabilities. Where remediation was required within supporting environments, appropriate security updates and controls have been applied and validated.

    We have identified no evidence of successful exploitation or unauthorized access to JMP systems or customer information associated with these vulnerabilities.

    JMP continues to monitor the issue and relevant vendor guidance. No action is required by JMP customers at this time.

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  • Graph Builder Toolbar streamlines interactive graphing. Creates shortcuts on Report and GraphBuilder Helpers toolbars. Download and install the extension.

Discussions

Solve problems, and share tips and tricks with other JMP users.
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lala
lala
Level IX

How can I find the curve graph close to the data?

Mar 21, 2025 09:42 AM (1106 views)

Methods that don't require deep learning, of course.
Is there an easy way to find the data that the curve graph is close to?

Thanks Experts!

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1 REPLY 1
Victor_G
Super User Victor_G
Super User

Re: How can I find the curve graph close to the data?

Created: Mar 21, 2025 09:54 AM  |  Last Modified: Mar 21, 2025 6:55 AM (1101 views)  |  Posted in reply to message from lala 03-21-2025

Hi @lala,

 

If you're interested about comparing curves, I think there might be someting using Functional Data Explorer (and specifying the curve reference ID), or the Fit Curve/Fit Nonlinear platforms (if you can find a satisfying model).

Then, you can extract parameters from the curves (for example FPCs if you're using Functional Data Explorer), and analyze which one have the closest values from the reference, using multivariate distances.

FDE also displays a "difference curve analysis" by default if you have specified your reference curve. 

 

See some ideas in this post : Is there a way to determine how well a curve meets specification? 

 

Hope this may help you,

Victor GUILLER

"It is not unusual for a well-designed experiment to analyze itself" (Box, Hunter and Hunter)

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