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Latest Discussions

  • Mixture with two factors - enough runs?

    Hello guys,Im new in JMP and want to do a DOE for a school project. So I want to do a DOE for a mixture with two different compounds, so I have two factors. I did set the mixture ratio of X1 from 0.7 - 1 and X2 0 - 0.3 (X1 should have 100% as a reference).But now I have for my experiment only two different mixtures. Will this be enough or is it possible to increase the number of different mixtures...

    CloutGott CloutGott
    Discussions |
    Jan 6, 2021 6:10 AM
    1686 views | 2 replies

  • How can JSL end up running when a condition is established?

    JSL runs until a condition is established, ends JSL, and does not perform subsequent JSL runs.Thanks!Break？ exit?

    lala lala
    Discussions |
    Dec 28, 2020 12:32 AM
    1556 views | 1 replies

  • Definitive Screen Design (DSD) Model confirmation

    Hi all, I designed a DSD with the following info:- Design: 7 continuous and 1 categorical factors, 22 run- Design Evaluation on power and correlation: very good- Fit model via Fit Definitive Screening: excellentRMSE = 0.2803, RSq =0.997, PValue<0.001)Lack of Fit: no (F Ration 191, Prob > F = 0.0561)Residual and Studentized Residuals are all good- Model structure: Contains 5 main, 4 quadratic and 1...

    ZenCar ZenCar
    Discussions |
    Dec 24, 2020 12:54 PM
    5907 views | 12 replies

  • Radio Button Multiple Columns

    I would like a single radio box with two vertical columns of four buttons each. The user could select one of the eight buttons only. Is there a way to do this?  I tried to make to radio boxes (one for each vertical column) and then Group them together, but it does not seem to work. Thanks

    Martin Martin
    Discussions |
    Dec 22, 2020 3:13 PM
    2214 views | 1 replies

  • When there is no interaction, can I use multiple comparison such as LSD or Tukey test?

    I have three factors - Genotype (5 levels), Nitrogen (2 levels), and manipulation (2 levels). I'm interested in the combination of three factors. I'd like to check how average grain weight responds to defoliation under the different nitrogen conditions. When I analyze it as the full factorial, there was no interaction among genotype x nitrogen x manipulation.  However, I want to indicate the diffe...

    JK JK
    Discussions |
    Dec 22, 2020 9:25 AM
    1969 views | 1 replies

Latest Discussions

  • Mixture with two factors - enough runs?

    Hello guys,Im new in JMP and want to do a DOE for a school project. So I want to do a DOE for a mixture with two different compounds, so I have two factors. I did set the mixture ratio of X1 from 0.7 - 1 and X2 0 - 0.3 (X1 should have 100% as a reference).But now I have for my experiment only two different mixtures. Will this be enough or is it possible to increase the number of different mixtures...

    CloutGott CloutGott
    Discussions |
    Jan 6, 2021 6:10 AM
    1686 views | 2 replies

  • Definitive Screen Design (DSD) Model confirmation

    Hi all, I designed a DSD with the following info:- Design: 7 continuous and 1 categorical factors, 22 run- Design Evaluation on power and correlation: very good- Fit model via Fit Definitive Screening: excellentRMSE = 0.2803, RSq =0.997, PValue<0.001)Lack of Fit: no (F Ration 191, Prob > F = 0.0561)Residual and Studentized Residuals are all good- Model structure: Contains 5 main, 4 quadratic and 1...

    ZenCar ZenCar
    Discussions |
    Dec 24, 2020 12:54 PM
    5907 views | 12 replies

  • When there is no interaction, can I use multiple comparison such as LSD or Tukey test?

    I have three factors - Genotype (5 levels), Nitrogen (2 levels), and manipulation (2 levels). I'm interested in the combination of three factors. I'd like to check how average grain weight responds to defoliation under the different nitrogen conditions. When I analyze it as the full factorial, there was no interaction among genotype x nitrogen x manipulation.  However, I want to indicate the diffe...

    JK JK
    Discussions |
    Dec 22, 2020 9:25 AM
    1969 views | 1 replies

  • Why does the Default DoE Custom Design have so little sampling of middle levels?

    When doing a Custom Design, sometimes middle levels (other than the highest and lowest) are specified, so it is more than 2 levels. However, Custom Design Default design tends to suppress sampling of these middle levels, putting most weight on the highest and lowest of each parameter. How is this determined? Can we specify to add more in the middle?

    FredChen FredChen
    Discussions |
    Dec 19, 2020 7:46 AM
    1781 views | 2 replies

  • DOE question

    Hi everybody, I am quite a beginner regarding DOE and I have a small question.Basically let's say that I have an experiment with several factors. In particular I want to test a component which has two possible levels and I would like to test several concentrations ( 0, 10, 20 or 40). Therefore I created my design with a categorial factor (Component: A, B) and a discrete numeric one (Concentration:...

    anne_sa anne_sa
    Discussions |
    Nov 13, 2020 2:21 AM
    4997 views | 9 replies

Latest Discussions

  • 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
    3926 views | 0 replies
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