Calculate x sigma Spec Limits for non-normal distributionCurrently I need to calculate Non-normal distribution LSL and USL based on sigma value (eg. 4 sigma), to get the process capability.
In another word, I need to select 'Z-score' and 'K:4' and hit the "Calculate Spec Limits" Button automatically in JSL script..
Does anyone know how to use this function in JSL script? Appreciate all kind helps!

Advanced Statistical ModelingAutomation and ScriptingData Blending and CleanupmacOSQuality and Process EngineeringRe: Calculate x sigma Spec Limits for non-normal distributionHi @Creatur2 ,
Could you provide an example dataset and a saved script from the platform onto the data table? I suspect this is from v15 of JMP that you are trying to create?
Thanks,
Ben
Re: Calculate x sigma Spec Limits for non-normal distributionHi Ben,
Thanks for the reply! I am using JMP 17 Pro.
I attached the example file contains fake data and saved a distribution script to Data Table.
The problem is that, I want it to calculate K-sigma Limit automatically in the script, like the line of LSL and USL here should be something like 'Use Column 4-sigma Specs'. But saved script is actually recording the number but not the calculation steps.

Re: Calculate x sigma Spec Limits for non-normal distributionHi @Creatur2 ,
Here's the script for performing the K sigma multiplier 'in script' - you can find details in the Scripting Index (see screenshot below).

Distribution(
Stack( 1 ),
Continuous Distribution(
Column( :Example ),
Horizontal Layout( 1 ),
Vertical( 0 ),
Fit Normal 3 Mixture(
Process Capability(
Set Sigma Multiplier for Quantile Spec Limits(
4),
Show as Graph Reference Lines,
Nonnormal Capability Method( "Z-Score"n )
)
),
),
SendToReport(
Dispatch( {"Example"}, "1", ScaleBox,
{Add Ref Line( 2.20020487561508, "Solid", "Blue", "LSL", 1 ),
Add Ref Line( 4.81371452626116, "Solid", "Blue", "USL", 1 )}
)
)
);
Re: Calculate x sigma Spec Limits for non-normal distributionHi Ben,
Thank you so much! This problem have been confused me for at least 1 month. Really appreciate your help!!!