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  • JMP will suspend normal business operations for our Winter Holiday beginning on Wednesday, Dec. 24, 2025, at 5:00 p.m. ET (2:00 p.m. ET for JMP Accounts Receivable).
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Latest Discussions

  • Understand Odd numbers in custom designed RSM+setting continuuos factors to zero

    Dear JMP-Experts,I have two questions:Question 1) I created two RSM-Designs using the custom Designer
    -The first design has 3 Factors, of which two factors (Factor1 and 2) are continuous with three factor settings  and the third factor is discrete numerical with four factor settings (two include 0 as additional setting)-->See below.
    -The second design, is similar to plan 1 but with four factors; thr...

    DualARIMACougar DualARIMACougar
    Discussions |
    Mar 22, 2024 7:01 AM
    891 views | 1 replies

  • Disappearance of confidence intervals on profiler

    Good afternoon (from East Coast) JMP staffs and users! I have three questions on using JMP software. 1. I built a customized response surface model with triplicates in the central point. When I open the 'Profiler' from 'Fit model', it shows confidence intervals as shown below.However, when I open this fitted model through 'Profiler' under 'Graph' tab, it does not show confidence intervals. I also ...

    BJK_JerseyBoy BJK_JerseyBoy
    Discussions |
    Mar 20, 2024 11:46 AM
    8547 views | 17 replies

  • Coding and intercept in mixture DoE models

    Hello Community, I have a question concerning the models found for Mixture DoE when the default L PseudoComponent Coding is activated (default conditions). When this is activated, my main effects have strange forms like in the picture below:  I prefer when they have a cleaner view, just Oil, water and vinegar (not in the form of ratio). Apart from the visual aesthetics preferences, there is someth...

    Julianveda Julianveda
    Discussions |
    Mar 19, 2024 8:22 AM
    2737 views | 5 replies

  • Considering standard deviations in to DOE

    I made a DOE with custom design of 6 runs. The 2 factors are continous and response Y is in %. When i have the results for Y. the standard deviations is quite huge. So, if i just input the mean value, I believe that it will not do justice to the design predictions. So what can i do to add these standard deviations to be considered by the model to get a better predictions.

    Mathej01 Mathej01
    Discussions |
    Mar 19, 2024 7:58 AM
    2049 views | 3 replies

  • JMP software for analytical purpose

    Dear sirGreetingsi would like to know whether this JMP software for QBD version 17 , is applicable for designing analytical data for developing a new method for analysis . if yes, please let me know how to use this software for above mentioned purpose. thank you 

    kalpana_V kalpana_V
    Discussions |
    Mar 16, 2024 9:54 PM
    2759 views | 7 replies

Latest Discussions

  • Understand Odd numbers in custom designed RSM+setting continuuos factors to zero

    Dear JMP-Experts,I have two questions:Question 1) I created two RSM-Designs using the custom Designer
    -The first design has 3 Factors, of which two factors (Factor1 and 2) are continuous with three factor settings  and the third factor is discrete numerical with four factor settings (two include 0 as additional setting)-->See below.
    -The second design, is similar to plan 1 but with four factors; thr...

    DualARIMACougar DualARIMACougar
    Discussions |
    Mar 22, 2024 7:01 AM
    891 views | 1 replies

  • Coding and intercept in mixture DoE models

    Hello Community, I have a question concerning the models found for Mixture DoE when the default L PseudoComponent Coding is activated (default conditions). When this is activated, my main effects have strange forms like in the picture below:  I prefer when they have a cleaner view, just Oil, water and vinegar (not in the form of ratio). Apart from the visual aesthetics preferences, there is someth...

    Julianveda Julianveda
    Discussions |
    Mar 19, 2024 8:22 AM
    2737 views | 5 replies

  • Considering standard deviations in to DOE

    I made a DOE with custom design of 6 runs. The 2 factors are continous and response Y is in %. When i have the results for Y. the standard deviations is quite huge. So, if i just input the mean value, I believe that it will not do justice to the design predictions. So what can i do to add these standard deviations to be considered by the model to get a better predictions.

    Mathej01 Mathej01
    Discussions |
    Mar 19, 2024 7:58 AM
    2049 views | 3 replies

  • JMP software for analytical purpose

    Dear sirGreetingsi would like to know whether this JMP software for QBD version 17 , is applicable for designing analytical data for developing a new method for analysis . if yes, please let me know how to use this software for above mentioned purpose. thank you 

    kalpana_V kalpana_V
    Discussions |
    Mar 16, 2024 9:54 PM
    2759 views | 7 replies

  • How to treat replicates and failed runs in a definitive screening design

    Hi community, I am having trouble modeling some data that I got from a DSD. This was a screen of 10 factors. We ran this with 3 blocks (operators) and I included the maximum number of extra runs (8). This gave me a table of 31 runs. We did some initial range-finding experiments to set reasonable bounds for all of the factors. Unfortunately we still got 4 runs where the reaction completely failed, ...

    ajoneja ajoneja
    Discussions |
    Mar 12, 2024 12:51 AM
    8176 views | 17 replies

Latest Discussions

  • Do 3rd order effects help define curvature?

    If you have are making a design with a factor you are certain will have a quadratic relationship against a response but you have a wide range, can it be helpful to define a 3rd order model effect for that factor to better identify and model curvature. I work in purification and we often deal with a recovery vs. purity balance. This relationship is usually quadratic around the optimal, where at a l...

    MetaLizard62080 MetaLizard62080
    Discussions |
    Mar 4, 2024 8:21 PM
    1001 views | 0 replies

  • Neural networks that learn and predict in real time (incremental learning)

    Hello community!!A query:- How JMP is configured to generate neural networks that learn from their inputs in real time (incremental learning) in such a way that it continually updates its weights according to new inputs and generates updated real-time predictions.Greetings,Marco

    Marco2024 Marco2024
    Discussions |
    Mar 4, 2024 9:37 AM
    850 views | 0 replies

  • Which predictive analysis method/column organisation for RSM output with duplicate samples

    Hi all. So I'm working on a project where I have 2 x component classes, each of which has 4 items within the class, which are mixed together at varying concentrations over 48 combinations. Figured the best Factor way to do this was to use 2 x Continuous for the max/min concentrations for each class, then 2 x 4-level Categoricals for each of the items. Each of the combinations was made twice, so af...

    ProbitLeopard63 ProbitLeopard63
    Discussions |
    Jan 25, 2024 3:06 AM
    829 views | 0 replies

  • Could JMP optimize factors with uncertainty?

    Hello community!!,A question: will it be possible for the profiler to find the best combinations of factors with uncertainty when performing a simulation, which maximize the total utility and minimize the total cost, generating a table of the best combinations found? For example: 

    Marco1 Marco1
    Discussions |
    Nov 21, 2023 9:08 AM
    920 views | 0 replies

  • Caution: Places where Jmp does something unexpected

    Definitely, JMP is Not a Spreadsheet . And that's great!! Besides this difference, there are other places where Jmp doesn't do/behave/produce what a newbie / innocent Jmp user expects.
    If a user knows these issues and the remedies and workarounds -  he/she can
    a) save a lot of time b) be safe from data loss c) be sure that the results are as expected.

    [More Topic Containers like this]   Topicdescrip...

    hogi hogi
    Discussions |
    Nov 17, 2023 4:15 AM
    1404 views | 0 replies
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