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Learning Resources

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Latest Discussions

  • How should I use fit definitive screening

    I have a definitive screening design with 7 factors ( 6 continuous factors + 1 blcok factor) and 2 reponses. When I tried to use "Fit Definitive Screening" to analyze the data, I found I got totally 3 different results ( one each time and all use the same data). Every result has different "combined parameter estimates" and different" prediction profiler" and after I click "run model", each results...

    SerialPorcupine SerialPorcupine
    Discussions |
    May 11, 2022 8:36 AM
    937 views | 1 replies

  • JMP Addin Enable/Disable - JSL code to do this?

    Is there any JSL code/command that can toggle a JMP Addin to Enable/Disable? 
    (note: I do not mean Register/Unregister in this case)

    This enabling/disabling can be done manually in View > Add-ins with the Enable checkbox, but I need JSL code to control this in my application.  I also looked into loading the "addinRegistry.xml" as a text file and replacing the last string of "autoLoad="false"" with n...

    djhanson djhanson
    Discussions |
    May 10, 2022 8:37 AM
    1833 views | 2 replies

  • DOE Screening

    I have a 5 Factor Placket Burman Screeening DOE. After the runs, it turned out that 2 of the runs are absolutely not good for the design and therefore should be removed before analysis. I do have results for the rest of the other runs. Could you help me with how to change my already generated design table so that I can get a correct analysis in the statistical analysis. Do I just click the undesir...

    Incr_ch22 Incr_ch22
    Discussions |
    May 9, 2022 9:04 AM
    2465 views | 5 replies

  • Problem with Full-Factorial Design (Mixed-Model) add in result

    Hello, I have a problem with this JMP add in  (Repeated Measures Full-Factorial Design Mixed-Model) result. In fact after running the model there is no estimation of the statistics given the data I have (see image below). It is very strange because I run the same model with similar data and I don't have this experience. Thank you in advance for the helpThe context is: two different groups in which...

    CristinaB CristinaB
    Discussions |
    May 9, 2022 7:30 AM
    956 views | 1 replies

  • Is SVEM appropriate for a 6 factor (continuous) optimization study?

    In last discovery summit there was a great presentation where SVEM was succesfully used for process modeling with a limited #runs; would this also work for buiding a 6 factor RSM starting from a 17-run DSD? In another presentation a 31-run OMARS was proposed for this 6-facor RSM, is SVEM a good alternative? 

    frankderuyck frankderuyck
    Discussions |
    May 9, 2022 7:05 AM
    1570 views | 2 replies

Latest Discussions

  • How should I use fit definitive screening

    I have a definitive screening design with 7 factors ( 6 continuous factors + 1 blcok factor) and 2 reponses. When I tried to use "Fit Definitive Screening" to analyze the data, I found I got totally 3 different results ( one each time and all use the same data). Every result has different "combined parameter estimates" and different" prediction profiler" and after I click "run model", each results...

    SerialPorcupine SerialPorcupine
    Discussions |
    May 11, 2022 8:36 AM
    937 views | 1 replies

  • Problem with Full-Factorial Design (Mixed-Model) add in result

    Hello, I have a problem with this JMP add in  (Repeated Measures Full-Factorial Design Mixed-Model) result. In fact after running the model there is no estimation of the statistics given the data I have (see image below). It is very strange because I run the same model with similar data and I don't have this experience. Thank you in advance for the helpThe context is: two different groups in which...

    CristinaB CristinaB
    Discussions |
    May 9, 2022 7:30 AM
    956 views | 1 replies

  • Design of experiment for 2 categorical factors and one continuous factor

    Hi JMP experts I struggle in deciding which DOE I should use for my experiment. I have 2 categorical factors ( 3 levels each), one continuous factor and the response is continuous (growth rate). The goal is to optimize the combination of these factors to get maximum growth.What would be the best DOE to use?I would appreciate your help!Thanks!A

    ScientistNMC11 ScientistNMC11
    Discussions |
    May 4, 2022 3:55 PM
    5175 views | 8 replies

  • Solution in RS (D-optimal)

    Hello everybody, I've successfully run my first RS design but I struggle to understand the solution provided after fitting the model. My design includes 5 continous factors with 4 axial points and 2 center points. I did 1 replicate and fitted the model. There is no significant lack of fit. The goal is to minimized the response and but the solution is higher than all of my measured values. I includ...

    FactorAlligator FactorAlligator
    Discussions |
    May 3, 2022 8:59 AM
    3298 views | 7 replies

  • Defining Factor Constraints

    Hi all,  I am trying to create a design with 7 continuous factors, 2 levels each. However due to technical constraints I can not perform the combination of factor 1 (levels 2 & 5) at anything below its maximum in combination with factor 2 (levels 5 & 10) at anything above its minimum. When I add a constraint for F1 min level (2) and F2 max level (10) it gives me a design using 2.15 and 9.75 instea...

    Emelie Emelie
    Discussions |
    Apr 26, 2022 8:27 AM
    1070 views | 1 replies

Latest Discussions

  • DoE with two-choice experiments, continuous response variable

    We want to rank the preference  of population of animals for n different recipes. Recipes are tested in two-choice assays, where groups of over 100 individuals can choose one choice or the other. Preference for the group is computed as a preference index, a continuous variable that is between -1 and 1. Is there an experimental design that would help reduce the number of combinations to test in ord...

    Alexa_Guigue Alexa_Guigue
    Discussions |
    Nov 19, 2021 7:06 AM
    872 views | 0 replies

  • 请问JMP有哪些模型可以用于预测股票价格的未来走势？

    这是个异想天开的问题: 大家都说股票价格的未来走势预测是艺术、不是科学。
    但我还是想看看JMP具体哪里模型能用于这方面。  我尝试过使用决策树、随机森林、xgboost。
    还使用了DOE制作了均匀试验表来进行分类统计。
    虽然这不是一个很好的问题、但还是非常期待专家们的回答。非常感谢！

    lala lala
    Discussions |
    Aug 2, 2021 1:01 AM
    841 views | 0 replies

  • Sub-sampling data analysis in JMP

    In Biology (Plant Sci. and Agriculture) usually we have sub-sampling data for replicates. It's very difficult to analyze these data in commonly use Stat S/W (SPSS/Minitab) because MSS(Error) is calculating wrongly.  Without taking averages of samsamples, the easiest S/W for this is using JMP and I need some assistance for this. I've found very useful Youtube video about subsampling in JMP  (CRD: S...

    Kynda Kynda
    Discussions |
    Nov 15, 2017 2:32 PM
    3926 views | 0 replies
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