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Learning Resources

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Latest Discussions

  • DOE for serum cell assay optimization

    Hello I am trying to optimise a cell based assay (process to culture T-cells) to work out combinations of factors (continuous i.e seeding density or process durarion) and levels optimal to lead to highest impact on my list of effects between my two categorical factors ( Serum A and Serum B)

    Which DOE and analysis would you recommend?

    I can opt for having as little as 2-3 factors and as high as 8-9 f...

    DRC92 DRC92
    Discussions |
    Jun 3, 2024 7:18 AM
    1205 views | 2 replies

  • How to analyze whether my DOE model is significant or not?

    I ran CCD with 2 center points. I have only two factors and one response. The summary results and analysis of variance show a very low r-square value, and the p-value is also higher than 0.05. Is my model correct or incorrect? If incorrect, then what can I do to make it work?

    rashi1 rashi1
    Discussions |
    Jun 3, 2024 7:10 AM
    1634 views | 1 replies

  • DOE Response and Factor Entry using datatable

    Hello guys,  I have recently started to use DOE platform in JMP. is there any way to create response variable from datatable or use copy paste type of any kind. i have 40-50 response variable it feels tedious to type response name forrow wise. can we create this using datatable or any alternative?

    ComplexNerd ComplexNerd
    Discussions |
    Jun 3, 2024 6:30 AM
    1251 views | 1 replies

  • JMP DOE Summary Table

    Hello, I have recently started using DOE Platform in JMP. How do we create a summary table with all parameter estimates and summary of fir for all response variable in one table.meaning a table with column as response variable name and row with parameter estimates and goodness of fit values. I am not able to find any options for this in red triangle of fit model. If there is no default option for ...

    ComplexNerd ComplexNerd
    Discussions |
    Jun 3, 2024 6:09 AM
    2762 views | 6 replies

  • Custom DoE: How to set up Factor Constraints with Script

    Hello, I´m trying to play around with the Catapult from Sigmazone (https://sigmazone.com/catapult/) and practice my DoE skills, but I´m having trouble setting up the factor constraints.    Basically I´m having 5 continous factors with the following levels:Release Angle --> 90 - 185Firing Angle --> 90 - 140Cup Elevation --> 200 - 300Pin Elevation --> 100 - 200Bungee Position --> 100 - 200The proble...

    basti41aa basti41aa
    Discussions |
    May 28, 2024 5:38 AM
    2267 views | 3 replies

Latest Discussions

  • DOE for serum cell assay optimization

    Hello I am trying to optimise a cell based assay (process to culture T-cells) to work out combinations of factors (continuous i.e seeding density or process durarion) and levels optimal to lead to highest impact on my list of effects between my two categorical factors ( Serum A and Serum B)

    Which DOE and analysis would you recommend?

    I can opt for having as little as 2-3 factors and as high as 8-9 f...

    DRC92 DRC92
    Discussions |
    Jun 3, 2024 7:18 AM
    1205 views | 2 replies

  • How to analyze whether my DOE model is significant or not?

    I ran CCD with 2 center points. I have only two factors and one response. The summary results and analysis of variance show a very low r-square value, and the p-value is also higher than 0.05. Is my model correct or incorrect? If incorrect, then what can I do to make it work?

    rashi1 rashi1
    Discussions |
    Jun 3, 2024 7:10 AM
    1634 views | 1 replies

  • SVEM: ¿Neural network or Lasso?

    I am conducting a prediction model study with DoE mixtures (3 components) and a process factor and a response variable (quantitative). I am going to apply SVEM, but I have a question, what does it depend on when using Neural Networks or Lasso? Thank you for your answers.

    CrhistianDoE CrhistianDoE
    Discussions |
    May 25, 2024 2:27 AM
    1615 views | 1 replies

  • DOE doubts

    I have 4 different factors in my experiment, each of the factors have around 3 to 5 levels, however, while making DoE using customized design, the table is taking up only higher levels and the lower levels are omitted from combinations. I do not want to do a full factorial design as the number of runs would be very high but in customized design, lower values are omitted, can you please help tell h...

    Rachana1 Rachana1
    Discussions |
    May 21, 2024 1:07 PM
    1587 views | 2 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
    1049 views | 0 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
    1049 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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