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  • JMP will suspend normal business operations for our Winter Holiday beginning on Wednesday, Dec. 24, 2025, at 5:00 p.m. ET (2:00 p.m. ET for JMP Accounts Receivable).
    Regular business hours will resume at 9:00 a.m. EST on Friday, Jan. 2, 2026.
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Latest Discussions

  • Design space for 4 variables

    We designed an RSM model for the optimization of 4 variables that are used as a combination. Once the results are obtained how do we obtain the design space (sweet spot) for all 4 variables together? Please help. Many Thanks!

    Amp Amp
    Discussions |
    Nov 27, 2023 8:01 AM
    1895 views | 4 replies

  • Predicted response of ANN

    when I save the predicted response of ANN in jmp, it gave me points not values

    hamza-moussa hamza-moussa
    Discussions |
    Nov 25, 2023 6:31 AM
    1269 views | 1 replies

  • Questions about DOE

    Hi everone I would like to conduct a field trial. I would like to check the response of a new fertilizer (at different levels) with and without exisiting fertilizers on yield of wheat. i need help with DOE. so basically i have eight treatments T0= negative control (no fertlizers), T1= positive control (NPK) business as usual fertlizers, T2= NPK+low level of new fertilizer, T3=NPK+medium level of n...

    AHM AHM
    Discussions |
    Nov 23, 2023 5:54 AM
    1717 views | 3 replies

  • Using DOE result as a quantitative or qualitative prediction (based on effect summary)

    Hi all,  I'm doing a Full factorial DOE with 2 factors & 2 responses. & wondering how doAfter testing & run the model. The result show that there is no significant factors & no significant model also.   But Looking at the interaction profiler. I see some clear trends in Factor A & response X. 
    So my question is how to use this result correctly. - With this, I cannot predict quantitatively by using ...

    Justin_Bui Justin_Bui
    Discussions |
    Nov 22, 2023 11:10 AM
    2721 views | 3 replies

  • Sample size calculation for a new lot of materials

    Hi,I'm looking to qualify new lot of the controls for an assay and was wondering what the best way is to accomplish in JMP (or to determine the sample size/number of experiments) in JMP.Thank you

    DFereidouni DFereidouni
    Discussions |
    Nov 22, 2023 2:18 AM
    1481 views | 1 replies

Latest Discussions

  • Design space for 4 variables

    We designed an RSM model for the optimization of 4 variables that are used as a combination. Once the results are obtained how do we obtain the design space (sweet spot) for all 4 variables together? Please help. Many Thanks!

    Amp Amp
    Discussions |
    Nov 27, 2023 8:01 AM
    1895 views | 4 replies

  • Predicted response of ANN

    when I save the predicted response of ANN in jmp, it gave me points not values

    hamza-moussa hamza-moussa
    Discussions |
    Nov 25, 2023 6:31 AM
    1269 views | 1 replies

  • Questions about DOE

    Hi everone I would like to conduct a field trial. I would like to check the response of a new fertilizer (at different levels) with and without exisiting fertilizers on yield of wheat. i need help with DOE. so basically i have eight treatments T0= negative control (no fertlizers), T1= positive control (NPK) business as usual fertlizers, T2= NPK+low level of new fertilizer, T3=NPK+medium level of n...

    AHM AHM
    Discussions |
    Nov 23, 2023 5:54 AM
    1717 views | 3 replies

  • Using DOE result as a quantitative or qualitative prediction (based on effect summary)

    Hi all,  I'm doing a Full factorial DOE with 2 factors & 2 responses. & wondering how doAfter testing & run the model. The result show that there is no significant factors & no significant model also.   But Looking at the interaction profiler. I see some clear trends in Factor A & response X. 
    So my question is how to use this result correctly. - With this, I cannot predict quantitatively by using ...

    Justin_Bui Justin_Bui
    Discussions |
    Nov 22, 2023 11:10 AM
    2721 views | 3 replies

  • 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

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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