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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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DBM_860752
DBM_860752
Level I

correlation map with categorical and numerical factors

Apr 29, 2025 07:10 AM (1662 views)

I have several dataset to analyze. I know how to do a color correlation map with numerical factors in JMP but I do not know how to do a correlation map with categorical and numerical factors. That would be very useful because correlation maps are a compact way to analyze and present a lot of information, especially when there are many factors. 

How can I generate a correlation map with categorical and numerical factors?

Is there an alternative method to analyze correlations between many factors of different type?

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Jed_Campbell
Staff Jed_Campbell
Staff

Re: correlation map with categorical and numerical factors

Apr 29, 2025 10:39 AM (1625 views)  |  Posted in reply to message from DBM_860752 04-29-2025

The Response Screening platform is really great at analyzing correlations between large numbers of factors, and it can compare lots of different data types. A good trick is to put all your columns in both the X and the Y role during the launch.

Jed_Campbell_0-1745937534420.png

 

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DBM_860752
DBM_860752
Level I

Re: correlation map with categorical and numerical factors

Apr 29, 2025 12:09 PM (1613 views)  |  Posted in reply to message from Jed_Campbell 04-29-2025

Thanks for the quick reply and for the suggestion. I have to go deep in the response screening since I am not familiar with that.

About the correlation map, I see that in the multivariate, it accepts only numerical values and the range for correlation coefficients is  between -1 and 1. In the DOE module, I can evaluate a test matrix with a correlation map that accepts all factors, including categorical, and the range for the correlation coefficients is between 0 and 1. I am wondering whether this second type of correlation map is available outside the DOE module to make analysis of correlation of data from experiments.  

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