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Latest Discussions

  • evaluation of DOE experiment

    Hello,I established a randomised definitive Screening design using the corresponding menue point under DOE and I created the data table and saved it some month ago. Now the experiments will be finished soon.How can I add the result data and analyse the results?I don't see how to use and load the data table of the design I created before. There is no project with the entered data that I could simpl...

    DrThWillms DrThWillms
    Discussions |
    Oct 8, 2024 10:00 PM
    2463 views | 7 replies

  • Multiple versions of JMP - what to do with the old?

    Hi, I just noticed that installing JMP 17 did not remove JMP 16 from my computer, and while researching this, I realize that upgrading to JMP 18 will also maintain the already installed older versions.So, (1) why should I keep the older versions?(2) if I gain nothing from keeping them, how do I safely remove older versions after installing newer versions (on Mac)?Thanks.

    Shahar_JMP Shahar_JMP
    Discussions |
    Oct 7, 2024 1:41 PM
    1134 views | 2 replies

  • Parametric Bootstrapping using the Negative Log Likelihood function

    Hello, I fit the negative log-likelihood function for a Poisson distribution (green highlighted column in the attached .jmp file) to my observed data and get the mean estimates for 10 unknown parameters (screenshot below).   My problem is bootstrapping these 10 parameters using the parametric method. The one-button "bootstrap" function in jmp (after right-click on the column "Estimate") gives me 1...

    tMinnx tMinnx
    Discussions |
    Oct 7, 2024 2:18 AM
    1104 views | 1 replies

  • How to recall the Random Seed Number?

    Hello, I made a Custom DOE design (RSM). and It was look like the above figure.However, I closed the dialog and just have the above figure.If I make the exact copy of the above Experimental order Table, and run the Fit model with the appropriate Terms, I might have the proper analysis result. However, I cannot have the pre-experimental Design Evaluation as above and so on.So, in this case where I ...

    MikeKim MikeKim
    Discussions |
    Oct 1, 2024 9:16 PM
    1677 views | 4 replies

  • DOE augmentation help with an already blocked design

    Hi there, I was hoping I could get some help with an experiment I am currently running?It is a custom design with 3 factors in total. 2 continuous variables and 1, 2-level categorical variable. This is ran on JMP 15.2Lets call them Continuous factor 1 = A (Range 25-75), Continuous factor 2 =B (Range 10-180) and Categorical factor= C( Acid, Neutral) I was interested in collecting information in the...

    Students_Tea Students_Tea
    Discussions |
    Oct 1, 2024 12:41 PM
    5686 views | 8 replies

Latest Discussions

  • evaluation of DOE experiment

    Hello,I established a randomised definitive Screening design using the corresponding menue point under DOE and I created the data table and saved it some month ago. Now the experiments will be finished soon.How can I add the result data and analyse the results?I don't see how to use and load the data table of the design I created before. There is no project with the entered data that I could simpl...

    DrThWillms DrThWillms
    Discussions |
    Oct 8, 2024 10:00 PM
    2463 views | 7 replies

  • Multiple versions of JMP - what to do with the old?

    Hi, I just noticed that installing JMP 17 did not remove JMP 16 from my computer, and while researching this, I realize that upgrading to JMP 18 will also maintain the already installed older versions.So, (1) why should I keep the older versions?(2) if I gain nothing from keeping them, how do I safely remove older versions after installing newer versions (on Mac)?Thanks.

    Shahar_JMP Shahar_JMP
    Discussions |
    Oct 7, 2024 1:41 PM
    1134 views | 2 replies

  • Parametric Bootstrapping using the Negative Log Likelihood function

    Hello, I fit the negative log-likelihood function for a Poisson distribution (green highlighted column in the attached .jmp file) to my observed data and get the mean estimates for 10 unknown parameters (screenshot below).   My problem is bootstrapping these 10 parameters using the parametric method. The one-button "bootstrap" function in jmp (after right-click on the column "Estimate") gives me 1...

    tMinnx tMinnx
    Discussions |
    Oct 7, 2024 2:18 AM
    1104 views | 1 replies

  • Get MaxPro value for any Space-Filling design

    Hi dear JMP Users and expert scripters,   I would like to compare several DoEs (Space-Filling type). Some are generated with JMP (with all the column properties needed for the factors and response), some are created with other external tools (so no column properties after file importation in JMP).   Since these designs are Space-Filling types, I would like to compare them based on discrepancy and ...

    Victor_G Victor_G
    Discussions |
    Sep 17, 2024 11:22 PM
    2688 views | 6 replies

  • How to build a prediction model of multi-step process: some runs don't have all the steps

    Hello,  I am hoping to get some advice in modelling based on the historical data. For the process the model is based on, it has 3 steps dep1->dep2->etch3, for each step there are 3 continuous factors. So in total, I have 3*3 factors, 9 factors. However, for some historical runs, there is no step 3etch but 1 and 2. Could I take the "3 steps run" and "2 steps run" as one table and build model out of...

    Fruit325 Fruit325
    Discussions |
    Sep 17, 2024 9:24 AM
    1559 views | 3 replies

Latest Discussions

  • latin hyper cube

    Hi there, 

    I am attempting to run latin hyper cube with three continuous and one categorical factors, but the option is not available except for fast flexible filing design; can anyone assist me with this? thanks in advance

    H6Habib H6Habib
    Discussions |
    Aug 14, 2024 1:58 PM
    755 views | 0 replies

  • Creating DOE (and fitting) for non-linear response

    Hello, I am still new to JMP but I'm trying to determine the best way to model a non-linear system (generating DOE + model fitting). Context: Long story short, I have a large experimental space that I am trying to model (10 discrete variables + 10 continuous variables). Before I jump into my full experiment I'm working with a subset (1 discrete variable + 5 continuous variables) to make sure I'm m...

    EndogenousCame1 EndogenousCame1
    Discussions |
    May 20, 2024 1:19 PM
    1050 views | 0 replies

  • Robust vs. Non Robust Response Screening/ Categorical Outliers

    Hello! I appreciate your help in advance!  I am currently trying to figure out the proper way to analyze my data!  I had used the DOE feature of JMP to create this fraction factorial of 24 runs for m experiment. The goal is two screen which categories have the most effect on the success rate. I had initially use the response screening option to analyze my results, when I did that none of my values...

    MedianPuppy4982 MedianPuppy4982
    Discussions |
    May 14, 2024 7:56 AM
    921 views | 0 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
    796 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
    1002 views | 0 replies
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