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Browse apps to extend the software in the new JMP Marketplace

JMP Wish List

We want to hear your ideas for improving JMP. Share them here.
Suggest an Idea
We want to hear your ideas for improving JMP software

We know that you have many valuable ideas on potential new features, or enhancements to existing features. You can use this Wish List to share your ideas, and discuss how to improve JMP, with other users across the globe.

Here's how to participate:

  1. Search: Please search for an existing idea first before submitting a new idea.
  2. Kudo & Comment Kudo ideas you like, and comment to add to an idea.
  3. Subscribe: Follow the status of ideas you like. Refer to status definitions to understand where an idea is in its lifecycle. (You are automatically subscribed to ideas you've submitted or commented on.)
  4. Submit: Post your new idea using the Suggest an Idea button. Please submit one actionable idea per post rather than a single post with multiple ideas.

We can’t implement everything, so please include the following to help JMP Product Management evaluate your ideas for consideration:

  • What inspired this wish list request? Please describe the current issue that needs improvement or the problem to be solved that is not easy or possible right now, with an example use case.
  • What is the improvement you would like to see? Please describe the idea for improving JMP. Please include mock-ups, wireframes, screenshots, scripts, other documents or examples from other software that help describe the change you would like to see.
  • Why is this idea important? Please describe the value to you and/or other users if the idea is implemented (for example, ease of use, must have,…).
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0 Kudos

Custom DOE With an Integrated Variance + Expected Bias Option

Status: New Submitted on ‎12-03-2021 05:30 PM Submitted by on ‎12-03-2021 05:30 PM
Comment
I am a big fan and user of the Custom DOE option in JMP. I recently use the option to plan a pro COVID vaccination advertising campaign that significantly increased rates. At the same time, I wish that the software included expected bias (at least as an option) in the design criterion. Both Doug Mongomery and I have written papers about variance plus expected bias criteria. George Box pointed out the importance of including bias in experimental planning optimization. For related references please consider our old article: Allen, T. T., & Tseng, S. H. (2011). Variance plus bias optimal response surface designs with qualitative factors applied to stem choice modeling. Quality and Reliability Engineering International, 27(8), 1199-1210. Variance plus bias optimal response surface designs with qualitative factors applied to stem choice modeling (researchgate.net) It shows how to make reasonable assumptions in general situations. Contact me at allen.515@osu.edu if you want to discuss this. ... View more
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  • Design of Experiments
0 Kudos

Help page for statistical details of all JMP methods

Status: New Submitted on ‎06-19-2021 06:06 PM Submitted by on ‎06-19-2021 06:06 PM
Comment
While many JMP methods are described or identified in platform output (e.g., Nonlinear saying "Solved by Analytic Gauss-Newton") others are not. When different JMP platforms give different results, understanding and explaining that difference is difficult. My client (US government) uses confidence limits for policy decisions, so I need to know why the methods differ. Example (JMP 16.0.0): Nonlinear vs. Fit Curve, both using Exponential 3P model, even though the corresponding parameter (and Std Err) estimates agree to the number of digits shown. Extremely useful would be JMP having a central Help page where one can easily locate the identification of the statistical method employed. Including a reference and/or summary of the statistical details would also be helpful.   ... View more
Nonlin vs FitCurve using Exp3P.jrn
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0 Kudos

variable strength covering arrays

Status: New Submitted on ‎05-01-2021 02:20 AM Submitted by on ‎05-01-2021 02:20 AM
Comment
The covering array DOE platform now supports dissallowed combinations. Based on a talk by @joseph_morgan and @Ryan_Lekivetz a few years back, the availability of options in the covering array platform that allow you to set different factors at different strengths would greatly improve the platforms use and applicability in software testing and laboratory testing. A JMP add in would also be welcomed. ... View more
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  • Design of Experiments
0 Kudos

Labeling Flexibility for Split-Plot and Random Block Experiments for Evaluate Design

Status: Yes, Stay Tuned! Submitted on ‎04-27-2021 01:33 PM Submitted by on ‎04-27-2021 01:33 PM
2 Comments (2 New)
When generating a split-plot or other experiment with random blocks using Custom Design, I really like how the resulting data table has an Evaluate Design script already attached to it. However, if I update the 'Whole Plots' or 'Random Block' to actually reflect what it truly means in practice (e.g. Setup or Batch) then the script doesn't work. I think it's as simple as adding that linkage (as denoted by the ":" that you get with the other factors).   If I just have X1-X3, this is what the code looks like for a split-plot, and won't update once the Whole Plots column is renamed. However, if I update the name of X1, it will update appropriately.   DOE( Evaluate Design, X( Whole Plots, :X1, :X2, :X3 ) ) ... View more
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0 Kudos

Update to Process Screening platform

Status: New Submitted on ‎01-10-2021 11:05 PM Submitted by on ‎01-10-2021 11:05 PM
Comment
I'd like to see the process screening platform be able to recognize columns assigned as non-normal and be to use these columns in the analysis.  Right now only normal data columns can be used. ... View more
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0 Kudos

Custom design from candidate points

Status: Archived Submitted on ‎10-09-2020 07:12 AM Submitted by on ‎10-09-2020 07:12 AM
5 Comments (5 New)
There is two main schools of how people can build DOE. The one chosen by JMP is to create design matrix using the powerful coordinate exchange algorithm. The second way is to provide a list of candidate data points (that could respects some complex constraints) and then search through it to create the design. (Actually, is JMP creating this list of candidate points in background ? When looking at design, there are some weird non rounded values, some times, which seems to indicate that JMP can take really any point (satisfying constraints if any) from the space of factor.)   I discussed yesterday with many DoE users at a conference, and they told me the fact that the second option does not exist in JMP is one of the main reason they don’t want to buy and use JMP. This option is however available in SAS proc Optex, which I am sure share many similarities with the Custom DoE platform of JMP.   Would you think such addition may be possible in the future, for Custom Design and Augment Design platforms ? ... View more
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  • Design of Experiments
0 Kudos

Interactive HTML with constraints

Status: Investigating Submitted on ‎03-30-2020 10:49 AM Submitted by on ‎03-30-2020 10:49 AM
5 Comments (5 New)
Can you please fix the HTML interactivity in DOE model's profilers when one or a few constraints are defined? My DOE model’s profilers in the HTML file became static when I added the constraints. They were interactive when I had no constraints. Unfortunately, including constraints in most DOE models is inevitable.   ... View more
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0 Kudos

DOE platform improvement suggestions

Status: Needs Info Submitted on ‎10-22-2019 09:27 AM Submitted by on ‎10-22-2019 09:27 AM
1 Comment (1 New)
I would like the ability to get alias effects matrix using JSL in Custom Design.   there is a <<Get X Matrix  (X) that returns the design matrix for the specified model and there is a <<Get Alias Matrix message that gets the aliasing correlations (for model x alias interactions, X`*A) but there is not command to get the alias effects matrix for the design (A) In Custom Design, Evaluate Design, and Compare Designs, I would like to be able to use JSL get the full correlation matrix that is used to construct the color map on correlations.  So a <<Get Correlations Matrix message would be nice.to add.   For Evaluate Design, I would like to be able to see a list of the pairwise correlations of the model x model, model x alias, and alias x alias correlations.  Similar to the pairwise correlations table that can be displayed in Multivariate.  The reason so so that I can sort and see the pairs of effects with the highest confounding.     For Compare Designs, I would like to be able to see the difference in the effects and aliases correlations matrices.  So if I compare 2 designs, and each has a color map on correlations (C1 and C2), I want to be able to see (C1-C2) as a "delta color map".   ... View more
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0 Kudos

Non-linear constraints in DOE

Status: Archived Submitted on ‎10-10-2019 08:22 PM Submitted by on ‎10-10-2019 08:22 PM
1 Comment (1 New)
It would be very helpful to allow an option for non-linear constraints for mixture DOE.   ... View more
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  • Design of Experiments
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