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Learning Resources

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Latest Discussions

  • How to create all column option in fit y by x?

    Hello community, i have a question. How do i create all the column option in my data table to make a choice for inside in Y,response? some of my data table is different name column and i want pick one of these column in Y,response. Here example of my questioni want to make choice box option for column starting from Parameter to HWBinName and the selected column inside in Y,response.note: for Param...

    mystylelife19 mystylelife19
    Discussions |
    Mar 8, 2023 8:05 AM
    1958 views | 2 replies

  • DOE

    Hallo,I have three  factors. for each one i have 3 Levels .I want to make a Design with only 9 runs .Can you please tell me how to do this.Thank you in advance.

    Sam_199111 Sam_199111
    Discussions |
    Mar 8, 2023 5:13 AM
    1364 views | 2 replies

  • Fit Definitive Screening vs. Stepwise (min. AICC) for model selection

    I am trying to fit a model to a 17-run DSD with 4 factors. I am evaluating two methods of doing so: the 'Fit Definitive Screening' platform that is recommended by JMP documentation, as well as the older forward selection method with minimum AICC as the criterion. Based on domain knowledge, I would have expected a quadratic effect for factor B which looks like a plateau, with the low level being si...

    QW QW
    Discussions |
    Mar 7, 2023 7:09 AM
    2165 views | 2 replies

  • Calculation a p-value in a data table (regression) using row formulae

    Background: Suppose I have rows of x, y data (SN_C, Value [Sigma Units]) as shown in attached file but also pasted below.   Slope_8 is calculated from the previous 8 [x.y] values. I want to compare the slope_8 value to the null hypothesis for linear regression (slope =0) and provide a p-value. Is there an easy way to do this? The formula for the slope 8 was taken from these discussion boards (@txn...

    fat_angus fat_angus
    Discussions |
    Mar 3, 2023 5:11 AM
    1794 views | 2 replies

  • DOE for Nested Factors

    Hello!  I'm designing an experiment with 5 factors.  Factor X1 is Ingredient Type, a two-level categorical variable (Ingredient A or Ingredient B).  But we also want to investigate the concentration of both ingredients.  Ingredient A has a range of 5% to 20%, while Ingredient B has a range of 1% to 10%.  I can't include this as three independent factors.  I see two reasonable options:- Run two seq...

    chris_rigdon chris_rigdon
    Discussions |
    Mar 2, 2023 8:40 AM
    2151 views | 2 replies

Latest Discussions

  • How to create all column option in fit y by x?

    Hello community, i have a question. How do i create all the column option in my data table to make a choice for inside in Y,response? some of my data table is different name column and i want pick one of these column in Y,response. Here example of my questioni want to make choice box option for column starting from Parameter to HWBinName and the selected column inside in Y,response.note: for Param...

    mystylelife19 mystylelife19
    Discussions |
    Mar 8, 2023 8:05 AM
    1958 views | 2 replies

  • DOE

    Hallo,I have three  factors. for each one i have 3 Levels .I want to make a Design with only 9 runs .Can you please tell me how to do this.Thank you in advance.

    Sam_199111 Sam_199111
    Discussions |
    Mar 8, 2023 5:13 AM
    1364 views | 2 replies

  • Fit Definitive Screening vs. Stepwise (min. AICC) for model selection

    I am trying to fit a model to a 17-run DSD with 4 factors. I am evaluating two methods of doing so: the 'Fit Definitive Screening' platform that is recommended by JMP documentation, as well as the older forward selection method with minimum AICC as the criterion. Based on domain knowledge, I would have expected a quadratic effect for factor B which looks like a plateau, with the low level being si...

    QW QW
    Discussions |
    Mar 7, 2023 7:09 AM
    2165 views | 2 replies

  • DOE for Nested Factors

    Hello!  I'm designing an experiment with 5 factors.  Factor X1 is Ingredient Type, a two-level categorical variable (Ingredient A or Ingredient B).  But we also want to investigate the concentration of both ingredients.  Ingredient A has a range of 5% to 20%, while Ingredient B has a range of 1% to 10%.  I can't include this as three independent factors.  I see two reasonable options:- Run two seq...

    chris_rigdon chris_rigdon
    Discussions |
    Mar 2, 2023 8:40 AM
    2151 views | 2 replies

  • Problem with adding midpoints to my design (they are not randomly distributed)

    Dear Community,
    I have created a design with 12 factors, 11 of them are continuous and the last one is discrete numeric with three levels. I decided to add 30 midpoints (see attached screenshot of the experimental design). Why are the factors of the midpoints not randomly distributed?
    I tried the model with fewer factors, and the midpoints were randomly distributed as desired.
    I also tried increasin...

    ChristopherWeiß ChristopherWeiß
    Discussions |
    Feb 21, 2023 7:32 AM
    2137 views | 4 replies

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
    1093 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
    3916 views | 0 replies
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