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Latest Discussions

  • Prediction Profiler simulator change variables from the table

    Hello,I have a response surface fit for 8 parameters. 4 of them changing randomly with normal distributions and other 4 have fixed values. I want to change these fixed values from a DOE table. Is there a faster way to do that, or should i change them manually? Thank you

    Hazal Hazal
    Discussions |
    May 15, 2023 3:54 AM
    1033 views | 1 replies
  • How to index list with a nested list

    Based on https://community.jmp.com/t5/Discussions/Combinations-of-a-list-put-into-columns/m-p/555454 I have a list list = {"A", "B", "C"}I need based on that make a list of all pair combinations. Link above helped me to get away from long cycles or joining tables into essentially a one-liner thanks to @brady_brady I have this so far:list = {"A", "B", "C"}; combinations = As List(N Choose K Matrix(...

    miguello miguello
    Discussions |
    May 13, 2023 6:43 AM
    2365 views | 4 replies
  • Splitting DoE table based on subsets of inputs

    Hi, I am looking for the best way to design a DoE table for a case like the example below (if that is possible!): If my input factors are categorical variables with two levels (e.g. present, not present), and imagine I have some maybe 20 input factors and one numeric response variable. Generally, using a custom design I can generate a DoE with one table which will have 20+1 columns and each row wi...

    ishwarvenugopal ishwarvenugopal
    Discussions |
    May 12, 2023 9:07 AM
    2262 views | 5 replies
  • Mean / Individual Confidence Interval in Mixed Models for new data points

    Hi everyone, I fit a mixed model with one random effect in JMP 17. I would like to get confidence intervals for new predictions, i.e. data points which where not used in the model fitting. However, if I go to the red triangle in the fit model platform and use "Save Columns -> Mean/Individual Confidence Interval", it just gives values for the data points used in the model fitting. Is there some way...

    Anja_W Anja_W
    Discussions |
    May 12, 2023 5:54 AM
    6936 views | 13 replies
  • GLM Interpretation

    I did a survey-experiment for my master's thesis. My supervisor has recommended that I use GLM due to design having mixed components (the treatments are fixed but the participants and the pictures included on the survey are random) but I am finding it hard to interpret the results.   On the survey the participants randomly got into one out of 3 conditions. Then they saw 10 pictures and had to answ...

    PoissonOpossum3 PoissonOpossum3
    Discussions |
    May 11, 2023 9:54 AM
    7627 views | 6 replies

Latest Discussions

  • Prediction Profiler simulator change variables from the table

    Hello,I have a response surface fit for 8 parameters. 4 of them changing randomly with normal distributions and other 4 have fixed values. I want to change these fixed values from a DOE table. Is there a faster way to do that, or should i change them manually? Thank you

    Hazal Hazal
    Discussions |
    May 15, 2023 3:54 AM
    1033 views | 1 replies
  • How to index list with a nested list

    Based on https://community.jmp.com/t5/Discussions/Combinations-of-a-list-put-into-columns/m-p/555454 I have a list list = {"A", "B", "C"}I need based on that make a list of all pair combinations. Link above helped me to get away from long cycles or joining tables into essentially a one-liner thanks to @brady_brady I have this so far:list = {"A", "B", "C"}; combinations = As List(N Choose K Matrix(...

    miguello miguello
    Discussions |
    May 13, 2023 6:43 AM
    2365 views | 4 replies
  • Splitting DoE table based on subsets of inputs

    Hi, I am looking for the best way to design a DoE table for a case like the example below (if that is possible!): If my input factors are categorical variables with two levels (e.g. present, not present), and imagine I have some maybe 20 input factors and one numeric response variable. Generally, using a custom design I can generate a DoE with one table which will have 20+1 columns and each row wi...

    ishwarvenugopal ishwarvenugopal
    Discussions |
    May 12, 2023 9:07 AM
    2262 views | 5 replies
  • GLM Interpretation

    I did a survey-experiment for my master's thesis. My supervisor has recommended that I use GLM due to design having mixed components (the treatments are fixed but the participants and the pictures included on the survey are random) but I am finding it hard to interpret the results.   On the survey the participants randomly got into one out of 3 conditions. Then they saw 10 pictures and had to answ...

    PoissonOpossum3 PoissonOpossum3
    Discussions |
    May 11, 2023 9:54 AM
    7627 views | 6 replies
  • optimizing decisions

    I am trying to see how one would use JMP to optimize decision-making. I made some progress but figured that there are entire industries based around this theme (!), so maybe no need to invent the wheel here: I want to decide which is the best conservation strategy given a set of inputs: a facility's resources, the nature of the environmental problem, and things like that (all on a common scale of ...

    abmayfield abmayfield
    Discussions |
    May 9, 2023 8:49 AM
    1253 views | 2 replies

Latest Discussions

  • how to read the output from Johnson-Neyman plot and floodlight analyisis?

    hi,I have got an add-in from https://community.jmp.com/t5/JMPer-Cable/Who-what-why-and-how-Tools-for-modeling-and-visualizing/bc-p/624293#M842 to implement floodlight analysis through Johnson-Neyman Plot.  according to the table of the example from the linkage above; what does "_c" mean? such as "meaning_c" and overwhelming_c"? focus on my own study, I got a moderator called "SE" which is a contin...

    Rongyu_Kuang Rongyu_Kuang
    Discussions |
    Apr 23, 2023 8:56 AM
    1383 views | 0 replies
  • 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
    3914 views | 0 replies
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