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Learning Resources

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Latest Discussions

  • Running a split-plot design on two days

    Hi, this is actually a follow up question to this post and the related experiment.I want to keep this very generic that's why I wont go into too much detail. We want to transfer a particles suspension from a reservoir with varying fill height in which the particles are being agitated.
    We have 3 easy-to-change transfer factors, 2 hard to change particle agitation factors and the very hard to change ...

    BenGengenbach BenGengenbach
    Discussions |
    Feb 13, 2023 12:00 AM
    2600 views | 4 replies

  • DoE: From actual to coded factor values

    Dear JMP community,I am new to JMP - so please excuse if this question (or follow-up questions) might sound quite elementary to you. I constructed a DoE screening design 2^3 and entered the actual value ranges for each factor. Now, of course, the resulting data table with the design contains the actual factor values and not the coded ones (which would range from -1 to 1). Is there a possibility to...

    Christian_P Christian_P
    Discussions |
    Feb 10, 2023 1:35 PM
    5684 views | 9 replies

  • How to determine term significance based on power value?

    Using the design evaluation tool in JMP, I compared a Box-Behnken design with a Custom design (with 28 runs) to evaluate 5 factors with 3 levels each (see below):Given the comparison, the custom design was chosen for the experimental runs. In the evaluation, I found the quadratic terms to be statistically significant (p<0.05) for one or more responses, despite the power for these terms being low a...

    MichaelM92 MichaelM92
    Discussions |
    Feb 10, 2023 7:27 AM
    1322 views | 2 replies

  • Mixture Desing - Desing with constant factor

    I like to create a design with 4 factors, in which one factor is constant and this should be taken into account for the 100% calculation. I get a result where the three variable factors are calculated to 100% and the constant factor is then over 100%. Can that be changed somewhere?

    Tom1 Tom1
    Discussions |
    Feb 10, 2023 2:43 AM
    1050 views | 1 replies

  • Which Parameter(s) affects the response variable the most?

    Hi

    I´m quite new to JMP Pro and therefore not very familiar with how to deal with the following: (I have also inserted the <JSL> below)     I have investigated 3 parameters of a fermentation in different combinations (my DoE)
    and quantified the protein concentration (that is my response variable).

    Is it possible to see what parameters are the most significantly affecting the protein concentration?  ...

    CEFOG CEFOG
    Discussions |
    Feb 9, 2023 10:22 AM
    2114 views | 3 replies

Latest Discussions

  • How to determine term significance based on power value?

    Using the design evaluation tool in JMP, I compared a Box-Behnken design with a Custom design (with 28 runs) to evaluate 5 factors with 3 levels each (see below):Given the comparison, the custom design was chosen for the experimental runs. In the evaluation, I found the quadratic terms to be statistically significant (p<0.05) for one or more responses, despite the power for these terms being low a...

    MichaelM92 MichaelM92
    Discussions |
    Feb 10, 2023 7:27 AM
    1322 views | 2 replies

  • Mixture Desing - Desing with constant factor

    I like to create a design with 4 factors, in which one factor is constant and this should be taken into account for the 100% calculation. I get a result where the three variable factors are calculated to 100% and the constant factor is then over 100%. Can that be changed somewhere?

    Tom1 Tom1
    Discussions |
    Feb 10, 2023 2:43 AM
    1050 views | 1 replies

  • Which Parameter(s) affects the response variable the most?

    Hi

    I´m quite new to JMP Pro and therefore not very familiar with how to deal with the following: (I have also inserted the <JSL> below)     I have investigated 3 parameters of a fermentation in different combinations (my DoE)
    and quantified the protein concentration (that is my response variable).

    Is it possible to see what parameters are the most significantly affecting the protein concentration?  ...

    CEFOG CEFOG
    Discussions |
    Feb 9, 2023 10:22 AM
    2114 views | 3 replies

  • Are there more JMP users on here applying DoE for optimizing their spray drying process parameters?

    Would be happy to connect if you are using DoE for your spray drying trials.  Some additional keywords for attention and connection: BUCHI S300, B290Liquid solutions (<7% dry weight), protein mixtureKarl Fischer (KF) titration, moisture content analysis, SEM (scanning electron microscope)Barley host expression system, molecular farming 

    NataliaReynis NataliaReynis
    Discussions |
    Feb 9, 2023 2:27 AM
    1317 views | 3 replies

  • How do I create a fractional factorial DOE with replicates in JMP 16?

    Hello all, I am trying to create a fractional factorial balanced DOE matrix with 11 3-level factors and 27 conditions and 4 replicates per condition (5 runs per condition). How do I go about doing this in JMP 16? I tried using a custom design and specifying "4 replicates" and "135 runs" but I am not getting a matrix with replicates. Instead, I am getting 135 different runs. Below is the DOE data t...

    Sravya_J Sravya_J
    Discussions |
    Feb 3, 2023 12:22 PM
    3612 views | 6 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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