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Learning Resources

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Latest Discussions

  • How to add more response variables?

    I made a custom design with a set of response variables. Then I ran the experiments. But now i want to add some extra responses which are relevant for the DOE. Is it possible? if yes how to do it?

    Mathej01 Mathej01
    Discussions |
    Jan 10, 2024 12:29 AM
    2304 views | 3 replies

  • DOE - Advice on Definitive Screening Design vs. half or full factorial design

    JMP Community I was hoping you could help.    I have some questions from a DoE practitioner whose main experience so far has been half or full factorial designs but is interested in using a Definitive Screening Design for a study of 4 or 5 factors. These questions are:   What are the advantages and limitations of the classical two-level factorial design when compared to a DSD?Can a definitive scre...

    DexterGribble DexterGribble
    Discussions |
    Jan 9, 2024 10:09 AM
    3979 views | 1 replies

  • Changing Standard Deviation with Weights in "Distribution" Platform

    This general topic has been discussed before here but I am unsatisfied. The JMP expert posted a formula that perhaps explains what's going on. But I have a conceptual question. I would think that weighting is useful to adjust estimates if one wants to weight, say, some subsamples more than others. Like if one had 100 men and 1,000 women, and one wanted to estimate the mean and SD of a sample that ...

    profjmb profjmb
    Discussions |
    Jan 8, 2024 2:02 AM
    3777 views | 3 replies

  • JMP - prediction profiler

    hello guys, in the prediction profiler, for example in the flow where you can adjust it. is there a way in a kategorical variable to include them?as you can see in the category coal, is there a way to find the interval to reliance by selecting all of the coal variables? so i dont only find the answer when i am looking at coal but also natural gas and oil?

    ChiSquareOtter1 ChiSquareOtter1
    Discussions |
    Jan 3, 2024 12:47 PM
    1711 views | 1 replies

  • Can I modify "Remembered settings" in a table and re-import them into the profiler?

    Hi JMP community, I would like to modify and run different settings of the prediction profiler in a more efficient way.Modifying each single entry by hand is tedious. Can I modify the settings in an exported table and re-impiort them into the profiler to predict the new settings?I am alos open to other suggestions. cheers ben 

    BenGengenbach BenGengenbach
    Discussions |
    Jan 2, 2024 11:54 PM
    3381 views | 4 replies

Latest Discussions

  • DOE - Advice on Definitive Screening Design vs. half or full factorial design

    JMP Community I was hoping you could help.    I have some questions from a DoE practitioner whose main experience so far has been half or full factorial designs but is interested in using a Definitive Screening Design for a study of 4 or 5 factors. These questions are:   What are the advantages and limitations of the classical two-level factorial design when compared to a DSD?Can a definitive scre...

    DexterGribble DexterGribble
    Discussions |
    Jan 9, 2024 10:09 AM
    3979 views | 1 replies

  • Changing Standard Deviation with Weights in "Distribution" Platform

    This general topic has been discussed before here but I am unsatisfied. The JMP expert posted a formula that perhaps explains what's going on. But I have a conceptual question. I would think that weighting is useful to adjust estimates if one wants to weight, say, some subsamples more than others. Like if one had 100 men and 1,000 women, and one wanted to estimate the mean and SD of a sample that ...

    profjmb profjmb
    Discussions |
    Jan 8, 2024 2:02 AM
    3777 views | 3 replies

  • JMP - prediction profiler

    hello guys, in the prediction profiler, for example in the flow where you can adjust it. is there a way in a kategorical variable to include them?as you can see in the category coal, is there a way to find the interval to reliance by selecting all of the coal variables? so i dont only find the answer when i am looking at coal but also natural gas and oil?

    ChiSquareOtter1 ChiSquareOtter1
    Discussions |
    Jan 3, 2024 12:47 PM
    1711 views | 1 replies

  • How to deal with missing data?

    Hi,

    Recently l ran a 2^4 factorial model for an extrusion experiment. I intend to model the quadratic terms including interaction terms.

    however some of the points were a little ambitious and the extrusion failed. Hence, I was unable to collect certain responses for these points. I would like some advice on how to proceed. Should I repeat the experiment with less aggressive levels or can I just augm...

    sianghongtay22 sianghongtay22
    Discussions |
    Dec 31, 2023 12:13 AM
    2485 views | 4 replies

  • Definitive Screening Design question

    Should you only run a Definitive Screening Design if you know or think you're very close to the process optimum? What happens if you run a DSD, but you're outside the optimum factor space? Would you have wasted your time, and have been better off doing a fractional-factorial 1st to screen items, then doing the full factorial to get curvature afterward? 

    mjz5448 mjz5448
    Discussions |
    Dec 18, 2023 4:01 AM
    3748 views | 8 replies

Latest Discussions

  • 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

  • Caution: Places where Jmp does something unexpected

    Definitely, JMP is Not a Spreadsheet . And that's great!! Besides this difference, there are other places where Jmp doesn't do/behave/produce what a newbie / innocent Jmp user expects.
    If a user knows these issues and the remedies and workarounds -  he/she can
    a) save a lot of time b) be safe from data loss c) be sure that the results are as expected.

    [More Topic Containers like this]   Topicdescrip...

    hogi hogi
    Discussions |
    Nov 17, 2023 4:15 AM
    1404 views | 0 replies

  • Getting NonEstimable values when crossing variables due to control setup

    Hi,   I'm working on a dataset where we are testing the effects of 2 treatments and the delay between them, and I'm trying to figure out how to line up my variables so I can do a Dunnett's test against various controls. We are giving animals a dose of drug A (Variable A), waiting some time (T), and then giving them a dose of drug B . If the animal is NOT given drug A (= 0), then T doesn't have a m...

    eberndl eberndl
    Discussions |
    Nov 10, 2023 10:48 AM
    793 views | 0 replies

  • How to adjust the factor range for specific factors within an ongoing DOE

    Hi, I designed a DOE that has two independent buffers. This DOE will range components in each buffer which will be used in a processing step sequentially. IE, buffer A, followed by buffer B. We already prepared for the DOE, and formulated the A buffers as per the recommended design. For the B buffers, we intended on ranging 2 components but later decided to reduce to ranging one component, and als...

    MetaLizard62080 MetaLizard62080
    Discussions |
    Oct 26, 2023 5:25 PM
    760 views | 0 replies

  • Discrete Choice Experiment: Prohibited Combination

    Hi everyone,I would like to design my first DCE. I am going to use 6 attributes that differ in the levels from 2 to 4 levels. However, I have a limitation where there is an impossible combination that may appear; for example, the cheapest product would not be possible to have the best feature. Is there any way for me to select the prohibited combination? Or, is the D-optimal design will always cal...

    andikawp andikawp
    Discussions |
    Sep 6, 2023 7:11 AM
    838 views | 0 replies
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