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Learning Resources

Latest Discussions

  • How to analyse factorial design with an outcome having two types of variance?

    Hello I have a dataset from a 2-level factorial design with 2 factors.The dataset contains purchase amount per each user.Each row is a unique user. Purchase with 0 value means user didn't purchase. A and B are treatments.  I want to calculate the effect of treatments A and B on  average purchase per user (sum of purchase in USD divided by number of users). However, I assume we need to account for ...

    gustavjung gustavjung
    Discussions |
    Apr 9, 2021 12:06 PM
    1904 views | 2 replies
  • Moving column group to 'after column' is only moving it to the first

    ​I'm trying something that seems simple - moving a column group to a location after another column.   Moving "to last" works, "to first" works, but after doesn't for me, no matter how i mess with format.   Below is example code to test -   Names Default To Here( 1 ); dt = Open( "$SAMPLE_DATA/Cities.jmp" ); dt << group columns( "xy", {:X, :y} ); dt << group columns( "pollutants", :Ozone :: :Lead );...

    jetpeach jetpeach
    Discussions |
    Apr 8, 2021 1:54 PM
    7637 views | 3 replies
  • How do I model A -> B -> C behavior?

    Hello, I was wondering if anyone else has had this problem. We have a DoE custom design for evaluating factors to optimize for product "B" over an impurity, "C." C isn't independent of B - it's a byproduct which forms only upon B forming, that is A -> B-> C. I see how in Column Info one can set independent limits for responses A and B, but is there a way to set constraints such that B + C < 100%? ...

    JasonM JasonM
    Discussions |
    Apr 6, 2021 12:43 PM
    1406 views | 2 replies
  • programming functionals (or functions that generate functions)

    I have a problem where the solution I want is to use a function to generate a different function. Here's a toy example. I expect it to return [3,4,5]. it doesn't work as I hoped because apparently the passed argument (offset) isn't available to the anonymous function that is returned. My guess is that there is a way to do this with substitution, but I couldn't figure it out. funWrapper = Function(...

    Mittman Mittman
    Discussions |
    Apr 2, 2021 6:16 PM
    4036 views | 8 replies
  • DOE: using subset full factorial to confirm results of a descriptive screen design

    Hi, Background: - I ran a 8-factor DSD and identified a total of 5 factors and 5 interactions are significant.- I selected two significant factors (each with three levels) and ran a 9-run full factorial DOE for the purpose to validate the DSD Result:- none of the two factors or their interaction are significant: disagree with DSD- the two factor does not has interaction: agree with DSD- quadratic ...

    ZenCar ZenCar
    Discussions |
    Mar 31, 2021 10:43 AM
    2058 views | 4 replies

Latest Discussions

  • How to analyse factorial design with an outcome having two types of variance?

    Hello I have a dataset from a 2-level factorial design with 2 factors.The dataset contains purchase amount per each user.Each row is a unique user. Purchase with 0 value means user didn't purchase. A and B are treatments.  I want to calculate the effect of treatments A and B on  average purchase per user (sum of purchase in USD divided by number of users). However, I assume we need to account for ...

    gustavjung gustavjung
    Discussions |
    Apr 9, 2021 12:06 PM
    1904 views | 2 replies
  • How do I model A -> B -> C behavior?

    Hello, I was wondering if anyone else has had this problem. We have a DoE custom design for evaluating factors to optimize for product "B" over an impurity, "C." C isn't independent of B - it's a byproduct which forms only upon B forming, that is A -> B-> C. I see how in Column Info one can set independent limits for responses A and B, but is there a way to set constraints such that B + C < 100%? ...

    JasonM JasonM
    Discussions |
    Apr 6, 2021 12:43 PM
    1406 views | 2 replies
  • DOE: using subset full factorial to confirm results of a descriptive screen design

    Hi, Background: - I ran a 8-factor DSD and identified a total of 5 factors and 5 interactions are significant.- I selected two significant factors (each with three levels) and ran a 9-run full factorial DOE for the purpose to validate the DSD Result:- none of the two factors or their interaction are significant: disagree with DSD- the two factor does not has interaction: agree with DSD- quadratic ...

    ZenCar ZenCar
    Discussions |
    Mar 31, 2021 10:43 AM
    2058 views | 4 replies
  • #Screening DoE

    i have excipient A of 4 different grades, how Can I include all those 4 different grades in a Denitive Screening DOE?

    RevathiT RevathiT
    Discussions |
    Mar 31, 2021 10:26 AM
    1185 views | 2 replies
  • Fitting multiple normal mixture to data

    Hello,I would like to get multiple normal mixture fitting to my data similar to what is presented here arXiv:1306.5856 Any thought on how this can done in JMP or JSL? Can I set a lower/upper limit on each peak locations in exchange for, likely, worse fits?

    Electron Electron
    Discussions |
    Mar 31, 2021 1:39 AM
    3290 views | 2 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
    3920 views | 0 replies
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