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GR&R method used by JMP
Hi
I would like to know the details of the GR&R method used by JMP. I have tried to replicate the JMP's results by writing a simple code in Python. I am assuming JMP is using ANOVA method (https://www.spcforexcel.com/knowledge/measurement-systems-analysis/anova-gage-rr-part-1) but, I never get the same results as JMP calculations. Could someone direct me to the related JMP documentation?
Thank you
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Re: GR&R method used by JMP
There is no 'one way' to do GR & R in JMP. There are multiple numeric as well as graphic approaches baked into native JMP. So trying to mimic JMP in any other application can be problematic depending on the workflow one chooses in JMP. Nevertheless, here is a starting point for the JMP online documentation for Measurement Systems Analysis: MSA in JMP
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Re: GR&R method used by JMP
First, welcome to the community. As Pete suggests, there are multiple ways to perform a measurement system analysis. I personally prefer the Wheeler (& Lyday) method. It includes both graphical analysis, including assessment of the consistency of variance components, and quantitative evaluation.
JMP has lots of options for you:
See Wheeler, D. J. (2006). EMP III Using Imperfect Data. Knoxville, TN: SPC Press.
or the white paper:
https://www.jmp.com/en_us/whitepapers/jmp/emp-management-systems-analysis.html