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  • JMP will suspend normal business operations for our Winter Holiday beginning on Wednesday, Dec. 24, 2025, at 5:00 p.m. ET (2:00 p.m. ET for JMP Accounts Receivable).
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Latest Discussions

  • 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
  • JSL > Graphic script > Polygon > Dynamically assign coordinates

    Hi JMP community, In a simple script I'm currently developing,  I would like to draw a rectangle polygon in Graphic Script applied to a GraphBuilder FrameBox with dynamic coordinates in function of the the axis scale (i.e. Polygon ([X1, X1, X2, X2], [Y1, Y2, Y2, Y1]). While I can easily achieve this with "hard coded" numerical coordinates for the polygon, and I can easily dynamically calculate the...

    Thierry_S Thierry_S
    Discussions |
    Dec 17, 2020 1:47 PM
    1613 views | 1 replies
  • DOE: Should I bother with lots of replicates with only two factors?

    Suppose I am conducting an experiment with only two 2-level categorical factors of interest. However, I have the budget for 24 runs. That's 6 reps of each design point of a full factorial. I really only need to detect the factors' (and interactions) effects, but I anticipate large experimental error due to the nature of the measures of human performance under investigation. Do the additional repli...

    gchesterton gchesterton
    Discussions |
    Dec 17, 2020 11:39 AM
    3469 views | 6 replies
  • Average of posts per day

    Hello,

    I am working on a paper for my university and I want to find on average how often does Trump post every day. However, I do not need the mean of all the data I have, but the mean of each day since 2016 (data is from 2016-2020). In other words, I want to make a new column in which each row shows the average posts on that day. Example below the image.Example:2016.01.04 - 5 posts2016.01.05 - 9 p...

    BorislavP00 BorislavP00
    Discussions |
    Dec 13, 2020 1:44 AM
    3922 views | 7 replies

Latest Discussions

  • 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
  • JMP 15 not compatible with JMP14 JSL

    In JMP14, i am using code     r = dt << Get Rows Where( name("sex") == "M" );   But it does not work in JMP15. I cannot change code at this point as it is used many places in the code. have seen previously also with newer releases previous JMP JSL is not compatible, face the issue again.   dt = Open( "$SAMPLE_DATA/Big Class.jmp" ); r = dt << Get Rows Where( :sex == "M" ); Show( r );

    ram_asra_gmail_ ram_asra_gmail_
    Discussions |
    Nov 4, 2020 4:51 AM
    3099 views | 6 replies
  • DoE analysis : Removing non significant main factors when they are implicated in a significant interaction

    Hey Jmp users, Is it possible to remove non significant main factors when they are implicated in a significant interaction in DoE data analysis ? Thanks ! I

    JMPdiscoverer JMPdiscoverer
    Discussions |
    Oct 30, 2020 2:30 AM
    5802 views | 6 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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