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Learning Resources

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Latest Discussions

  • How to fit a non-linear effect during a full factorial design?

    Dear JMP community, Can you observe non-linear effects in a full factorial design? After analyses, a value ( AGC%) was found to have no significant influence on a Y variable (Total number of features).After maximising desirability, a value of 1000 was recommended for AGC.However, when I look at the points and plot them on a curve, they come close to a quadratic effect (which could lead to the non-...

    K_JMP K_JMP
    Discussions |
    Apr 12, 2024 8:16 AM
    1305 views | 1 replies

  • Augmenting a Plackett Burman design to a Full Factorial Design

    After performing a Plackett Burman design with nine continuous factors at two levels with 3 replicates for each run, I would like to perform a second iteration by augmenting my initial PB design to a full factorial design. When using the augment design platform, JMP asks how many runs are desired (including the runs that were already performed in the first DOE). However, I cannot find a separate b...

    SaraA SaraA
    Discussions |
    Apr 11, 2024 12:41 PM
    1998 views | 3 replies

  • Analysis of Plackett-Burman design

    Hi all, I have run a Plackett-Burman foldover screening DOE using 9 continuous factors. I included 3 center points to detect curvature. I am unsure if for the analysis of the data table I should run the 'Screening' script or use the fit model platform. If I use the fit model platform, should I only include the main effects to construct the model effects since a PB design only allows estimation of ...

    SaraA SaraA
    Discussions |
    Apr 11, 2024 8:28 AM
    3407 views | 8 replies

  • DOE Binary Choice Design with option "none"

    I am currently trying to build a reduced design for a discrete choice experiment with JMP. In the end I want to have a binary choice design where you can either buy or not buy the product. Is there a way to create a reduced design? Unfortunately, JMP does not give me the option of setting the "number of profiles per set" to 1, as it always automatically corrects itself to 2. Does anyone know how t...

    LatinBiasesOwl7 LatinBiasesOwl7
    Discussions |
    Apr 11, 2024 12:44 AM
    1305 views | 2 replies

  • Sum of all rows into a list

    I'm trying to take the sum of all of my rows and add it to a list.  So, the sum of row 1 will be item 1, sum of row 2 will be item 2, etc.  Is there an easy way to do this using jsl?

    wyler00 wyler00
    Discussions |
    Apr 10, 2024 8:51 AM
    2017 views | 3 replies

Latest Discussions

  • Analysis of Plackett-Burman design

    Hi all, I have run a Plackett-Burman foldover screening DOE using 9 continuous factors. I included 3 center points to detect curvature. I am unsure if for the analysis of the data table I should run the 'Screening' script or use the fit model platform. If I use the fit model platform, should I only include the main effects to construct the model effects since a PB design only allows estimation of ...

    SaraA SaraA
    Discussions |
    Apr 11, 2024 8:28 AM
    3407 views | 8 replies

  • DOE Binary Choice Design with option "none"

    I am currently trying to build a reduced design for a discrete choice experiment with JMP. In the end I want to have a binary choice design where you can either buy or not buy the product. Is there a way to create a reduced design? Unfortunately, JMP does not give me the option of setting the "number of profiles per set" to 1, as it always automatically corrects itself to 2. Does anyone know how t...

    LatinBiasesOwl7 LatinBiasesOwl7
    Discussions |
    Apr 11, 2024 12:44 AM
    1305 views | 2 replies

  • Process development with multiple factors

    Hi everyone, I'm currently engaged in a process development project with the goal of 1) minimizing the total process time while 2) maintaining or enhancing the yield. This objective is similar to viral vector production case, where maximizing virus yield in the shortest production time is crucial. After consulting with subject matter experts, we've pinpointed 10 factors for potential modification....

    BJK_JerseyBoy BJK_JerseyBoy
    Discussions |
    Apr 9, 2024 2:47 PM
    794 views | 0 replies

  • steepest descent/ascent

    Dear JMP community users,I would like to How can I perform steepest ascent/descent using JMP. Does JMP has an Option for that.

    Statexplorer Statexplorer
    Discussions |
    Apr 7, 2024 4:29 PM
    4048 views | 7 replies

  • Utilizing contour map to set up the constraints for Augment Design

    Hi community, I am working on a formulation work. I got initial 3 by 3 Design as below with replicates.  Then I got decet predictive model. Below is the controur plot with raw data vs plot predicted by the model. They look alike except the region where there is no data points (white space), Now I want to optimize this formulation by further looking into the high performing formulation (both upper ...

    BJK_JerseyBoy BJK_JerseyBoy
    Discussions |
    Apr 2, 2024 4:58 PM
    1344 views | 2 replies

Latest Discussions

  • Process development with multiple factors

    Hi everyone, I'm currently engaged in a process development project with the goal of 1) minimizing the total process time while 2) maintaining or enhancing the yield. This objective is similar to viral vector production case, where maximizing virus yield in the shortest production time is crucial. After consulting with subject matter experts, we've pinpointed 10 factors for potential modification....

    BJK_JerseyBoy BJK_JerseyBoy
    Discussions |
    Apr 9, 2024 2:47 PM
    794 views | 0 replies

  • 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
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