What inspired this wish list request?
When creating Custom designs, the Design Explorer platform helps comparing and selecting designs based on various optimality efficiencies and average variance of prediction, depending on different construction choices : runs number, replicates, centre points...
When creating Space-Filling designs, it may be difficult for practitioners to understand the benefits and tradeoffs between different design types (Fast Flexible, Uniform, Latin Hypercube, ...) and runs number. MaxPro and discrepancy values are displayed only on each specific design diagnostic panel, so unless scripting a solution (which might be technically complex) to extract these values from several generated designs, there is no workaround to get access to this information and compare several designs.
Idea inspired by the topic Get MaxPro value for any Space-Filling design.
What is the improvement you would like to see?
When creating Space-Filling designs, I would like to have a "Design Explorer"-like panel option similar to the one in Custom Design, that enables to select several design type and choose various runs number range, and display various metrics like MaxPro values, discrepancy and/or Min/Max/Average/Range/StdDev distance between points, which may help compare Space-Filling designs type based on the homogeneity of the points dispersion and the volume/distance covered by points in the design.
Why is this idea important?
Currently, comparing Space-Filling designs is difficult and complex, as there is no built-in platforms for this in JMP. This requires a lot of manual work, from extracting the distance between points (using Hierarchical Clustering and saving the Distance Matrix), to the analysis of the distances.
A comparison example is available in JMP Help : Example Comparison of Sphere-Packing, Latin Hypercube, and Uniform Methods (jmp.com), but I would find more useful if the user could create the comparison easily, without the need for scripting or long time (to create each design possibility and compare them based on calculated distances).
