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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.
  • We’re retiring the File Exchange at the end of this year. The JMP Marketplace is now your destination for add-ins and extensions.
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Latest Discussions

  • Discrete Choice Experiment: None of these options

    Dear community,  Just a quick question considering the formatting of the "No choice" option in JMP 17. If we have Option A, Option B, and Option C, where Option C = none of these options. Do we give three rows of data to JMP? Or would we give two rows of data in binary format, and when both option A = 0 and Option B =0, it will use this information that no option was selected?  In the images below...

    Declan_JMP Declan_JMP
    Discussions |
    Dec 26, 2022 11:21 PM
    2242 views | 2 replies
  • Change RSM factor levels following DOE run execution

    Hi Community,I created a 16 run RSM (Custom Design) with 1 categorical and 4 continuous factors. Early in the execution I was forced to change several factor levels for practical reasons. I restarted and completed all 16 runs at the new levels, recording on paper all the changes. When I updated the JMP run file and performed Analyze-Fit-Model, the model appeared to retain the previous factor level...

    MichaelR1 MichaelR1
    Discussions |
    Dec 26, 2022 12:32 AM
    1179 views | 1 replies
  • Why are my fit models showing different factor significance? In "model 1", Random Block is a Random Effect rather than a Fixed Effect, whereas "model 2" lists all the factors as Fixed Effects.

    When I clicked Fit Model, "model 1" popped up, including "Random Block & Random" as a factor, which means "Random Block" is a Random rather than Fixed Effect. However, When I run "model 2" with just "Random Block" as a factor, everything becomes less efficient. Which is more correct and why? Also, I'm used to the Model 2 output, in which I can click on Scaled Estimates. And I was taught at a JMP t...

    evtran evtran
    Discussions |
    Dec 23, 2022 8:45 PM
    1855 views | 3 replies
  • Comparing sample sets of data already aggregated

    Hello,I am trying to compare the number of rejected units from 2 sample groups with unequal populations. I have read multiple times that the tool to use in JMP for that purpose is the "Fit Y by X", but it doesn't seem to take into account the population difference in my 2 groups (which I put in the Freq. box). How can I do my analysis? And how can I add more parameters to this analysis (I also wan...

    STA STA
    Discussions |
    Dec 21, 2022 7:39 AM
    1769 views | 2 replies
  • data spliting

    I want to feed data as three sets: train, validation, and test set to jmp. how can I do this? does jmp use test set? or just training and validation?

    tuo88138 tuo88138
    Discussions |
    Dec 20, 2022 9:31 AM
    2370 views | 4 replies

Latest Discussions

Latest Discussions

  • Response Screening Effect Size - logistic

    Related to the previous post How to get "Effect size" column with Response Screening functionality , I am also wondering how effect size in the response screening platform is calculated, specifically for categorical Y vs continuous X.  JMP help shows:  "When Y is categorical and X is continuous, the effect size is the square root of the average ChiSquare value for the whole model test."  Running b...

    wgardnerQS wgardnerQS
    Discussions |
    Dec 14, 2022 12:54 PM
    1095 views | 0 replies
  • 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
    865 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
    837 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
    3921 views | 0 replies
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