cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • Instantly extract effect sizes, F-ratios, and FDR-adjusted p-values from your models with the Calculate Effects Sizes extension, available now in the JMP Marketplace!
  • New to JMP? Join us Sept. 23-24 for the Early User Edition of Discovery Summit, tailor-made for new users. Register now for free!
  • See how to use the JMP Marketplace – Free tools to expand JMP capabilities. Register. July 10, 2 pm US Eastern Time.

JMP Wish List

We want to hear your ideas for improving JMP. Share them here.
Choose Language Hide Translation Bar
0 Kudos

Non-Parametric Rank Correlations

What inspired this wish list request?   At one time there was a nice add-in, Correlate Y by X Add-in that computed both the standard Pearsons correlation along with Non-Parametric fits.  It was very easy to engage and worked well.  However, that add-in has not worked on the newer versions of JMP.  It is very common to use the non-parametric rank and the Spearmans rho for many applications.  

 

 

What is the improvement you would like to see? 

Simply find a way to enable that add-in to work in JMP19 

 

Why is this idea important? 

Currently, the only way to access a non-parametric correlation to obtain a Spearmans rho value is the multivariate test platform.  That can work well if the number of variables is low.  But in many cases, the desire is to have a one by many correlation calculated.  And when the many are several hundred, the multivariate platform is simply inapproriate for that purpose.