I've been trying to use JMP's MDS program to provide a clearer visualization of values data I have. Working with your support team (particularly @PatrickGiuliano), it was suggested that I request this functionality -- hopefully for JMP 18.
'Multidimensional Unfolding', available in R, with the SMACOF package and maybe the best applied reference on it here: https://cran.r-project.org/web/packages/smacof/vignettes/smacof.pdf
Here's a brief summary related to the special Unfolding technique from Copilot:
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Multidimensional Unfolding:
- Unfolding is a related technique to MDS. It represents input preference data as distances in a low-dimensional space.
- The smacof package has undergone major updates, including a complete re-implementation of multidimensional unfolding. Notable features include:
- Monotone dissimilarity transformations: This allows for various unfolding scenarios, including row-conditional, circular, and external unfolding.
- Optimal scaling of external variables: The constrained MDS implementation now extends to optimal scaling of external variables.
I'm including an article that provides the type of visualization I was looking for but cannot currently get through JMP 17 Pro.
Thank you!