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Latest Discussions

  • Analysis Design of Experiments

    Hi JMP Community, I have two questions regarding the analysis of the Design of Experiments I performed: 1) When performing a screening DOE (Plackett-Burman design) and one of the model terms has a positive effect on the dependant variable but it does not appear to reach statistical significance, does it make sense to still include this factor when performing the second, optimization DOE? When a fa...

    SaraA SaraA
    Discussions |
    Jun 12, 2024 1:51 PM
    1884 views | 4 replies
  • Non-Parametric-Test (JMP 17.2) Beginners Question

    Hallo liebe Community,

    ich habe eine ziemlich basale Statistik Frage:

    Ich habe ein "Medikament A", das nehmen etwa 200 Patienten ein
    Jetzt möchte ich die Gruppen vergleichen: 
    Nebenwirkung B "Present" oder "Absent" 

    Welchen Test verwende ich da? Ich dachte non-parametric über fit y to x und Wilcoxon-Test mit zwei Stichproben, Normal-Approxmation unter "Wahrscheinlichkeit > Z" den P-Value ablesen, um fe...

    mmkaz mmkaz
    Discussions |
    Jun 12, 2024 8:33 AM
    1820 views | 4 replies
  • Help with combined countour plot on BB with 4 factors

    Hi members! I conducted a Box-Behnken design with 4 factors and multiple responses. These responses have established conditions for maxima, minima, or target values. I would like to know how to create an overlaid and combined contour plot that shows and hachure (for each pair of factors) the region where the possible optimized experiment will be found. 

    ivanpicchi ivanpicchi
    Discussions |
    Jun 12, 2024 6:33 AM
    1324 views | 2 replies
  • Einschätzung eines A-optimalen Designs

    Ich habe ein A-optimales Design, das als Screening Design dienen soll, mit folgenden Effizienz-Werten erstellt, Wie würden SIe diese Werte einschätzen? Wäre das als Screening-Design geeignet? $D [1]0,8632544  $A [1]1,208548  $Ge [1]0,768  $Dea [1]0,74  

    Thommy7571 Thommy7571
    Discussions |
    Jun 12, 2024 2:05 AM
    949 views | 1 replies
  • Residual analysis DOE

    Dear community, I would like to ask for a bit of support on the interpretation of raw residuals. I analyzed data using 3K factorial with 3 factors and three levels, total runs 27. I got the next raw residuals vs predicted values. I am not pretty sure that the plot is ok, the variance seems quite equal from negative and positive a small pattern in the center I am not sure if there is a big issue. i...

    William29 William29
    Discussions |
    Jun 11, 2024 6:21 AM
    1929 views | 3 replies

Latest Discussions

  • Analysis Design of Experiments

    Hi JMP Community, I have two questions regarding the analysis of the Design of Experiments I performed: 1) When performing a screening DOE (Plackett-Burman design) and one of the model terms has a positive effect on the dependant variable but it does not appear to reach statistical significance, does it make sense to still include this factor when performing the second, optimization DOE? When a fa...

    SaraA SaraA
    Discussions |
    Jun 12, 2024 1:51 PM
    1884 views | 4 replies
  • Non-Parametric-Test (JMP 17.2) Beginners Question

    Hallo liebe Community,

    ich habe eine ziemlich basale Statistik Frage:

    Ich habe ein "Medikament A", das nehmen etwa 200 Patienten ein
    Jetzt möchte ich die Gruppen vergleichen: 
    Nebenwirkung B "Present" oder "Absent" 

    Welchen Test verwende ich da? Ich dachte non-parametric über fit y to x und Wilcoxon-Test mit zwei Stichproben, Normal-Approxmation unter "Wahrscheinlichkeit > Z" den P-Value ablesen, um fe...

    mmkaz mmkaz
    Discussions |
    Jun 12, 2024 8:33 AM
    1820 views | 4 replies
  • Residual analysis DOE

    Dear community, I would like to ask for a bit of support on the interpretation of raw residuals. I analyzed data using 3K factorial with 3 factors and three levels, total runs 27. I got the next raw residuals vs predicted values. I am not pretty sure that the plot is ok, the variance seems quite equal from negative and positive a small pattern in the center I am not sure if there is a big issue. i...

    William29 William29
    Discussions |
    Jun 11, 2024 6:21 AM
    1929 views | 3 replies
  • Robustness design

    A DoE workflow calls for prescreening, screening, optimisation then a robustness design.  The robustness design would inform around a control space within a broader design space mapped out by the optimisation design.  In JMP, is there (and if so where) a procedure for running robustness designs starting from an initial data set used for optimisation?  

    kjwx109prime kjwx109prime
    Discussions |
    Jun 6, 2024 9:34 AM
    4167 views | 6 replies
  • Simulate results for a table of statistics in a report

    Hello everyone, so I have been testing around with the simulation feature in JMP, which you can use to simulate statistics from reports where you have a random component (Overview of the Simulate Feature (jmp.com)). To the best of my knowledge, you can only simulate one column at a time. Is it possible to perform the simulation for the whole output table instead of having to simulate each column o...

    PoissonGopher92 PoissonGopher92
    Discussions |
    Jun 5, 2024 4:47 AM
    1247 views | 1 replies

Latest Discussions

  • 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
    1048 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
    917 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
    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
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