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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

  • Change numbers in easy DOE data entry?

    Im am setting up a 3 continuous factor 13 run design in flexible easy DOE. Is it possible to change numbers in the DOE data entry? There are some comma figures I'd like to round off. 

    frankderuyck frankderuyck
    Discussions |
    Apr 18, 2023 12:15 PM
    1174 views | 2 replies
  • Split plot DoE (limiting number of trial runs per day)

    Hello everyone, 

    New case:3 variables (factors) Factor 1 (Continuous) = 0 - 225Factor 2 (Continuous) = 0 - 10Factor 3 (Discrete - 2 level) = 60 and 90 (process step) Factor 3 can be considered as a final processing step for the mixture of the first 2 factors. So as an example: Factor 1 (225) combined with Factor 2 (10) - this batch would ideally be treated both at 60 and 90 the same day. The limiti...

    Bertelsen92 Bertelsen92
    Discussions |
    Apr 14, 2023 12:15 PM
    5330 views | 9 replies
  • Custom DOE does not use the whole range of discrete numeric values

    I am trying to create a custom DOE with 1 continuous factor and 2 discrete numeric factors (3 levels).One of the discrete numeric factors has values 1, 3 and 5. The generated table only uses the values 3 and 5 however. This does not seem to make sense to me from a experiment design POV. Even when changing it to a 4 level factors (0,1,3,5) only 3 and 5 are used. See JMP file for details. Is this ch...

    mvanderaa1 mvanderaa1
    Discussions |
    Apr 13, 2023 6:03 AM
    2194 views | 4 replies
  • How to correctly interpret a definitive screening design (DSD)

    I am using JMP 14.3 to optimize a workflow with 6 input variables and 3 levels (attached is the file with the data table). My idea is to use JMP to obtain the best combination of the 6 variables that gives me the best output result but performing the least number of experiments.
    It seems to me that the best option is to make a definitive screening design to see the main effects. I have defined my f...

    Wardiam Wardiam
    Discussions |
    Apr 12, 2023 1:46 PM
    7602 views | 10 replies
  • Power analysis for Mutiple response DOE

    Hi all, 
    I have a custom design with 4 responses, and 3 factors that plan to run. I want to do a Power analysis. What I understand is I need to: - Estimate RMSE: Or noise in response when repeating many runs with the same factors setting - Define delta (or signal/ 2* Anticipated coefficient). The minimum change in the response that critical to detect.  But I have 4 responses. Which one should I put...

    Justin_Bui Justin_Bui
    Discussions |
    Apr 12, 2023 7:10 AM
    1870 views | 2 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
    1092 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
    864 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
    835 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
    3913 views | 0 replies
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