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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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Discussions

Solve problems, and share tips and tricks with other JMP users.
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Sebastienlg
Level IV

empirical quantiles

Hello all,

 

Is there a way to recover the empirical quantiles (Example quantile at 99.865% and 0.135%) in the case that the data does not follow a normal distribution?

I cannot find it on JMP...

Thanks a lots for your answer,

 

Sebastien

3 REPLIES 3

Re: empirical quantiles

See Help > Scripting Index > Functions > Quantiles:

quantile.JPG

 

Sebastienlg
Level IV

Re: empirical quantiles

Thanks for you reply.

How do you apply the quantile function to a to JMP column from a dataset?

I have some difficulties to do that...

Sebastien

txnelson
Super User

Re: empirical quantiles

There may be a better way( see Mark's answer above) , or a more correct way to estimate the values you want.  All I am doing is interpolating the value from the known percentiles above and below.  

Here is an example of finding 99.865 when the 90th and 100th percentiles are known.

Names Default To Here( 1 );
p90 = 68;
p100 = 70;
p99865 = (99.865 - 90) / (100 - 90) * (p100 - p90) + p90;

 

Jim

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