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  • Need help with random errors on script start AFTER the previous run finished

    Never mind, I figured it out - one of the functions had Eval() which was evaluating right when script starts.   I am writing a simple GUI prototype: List of tables in a combo box, button to add\open table and Filter Col Box with column names of the currently selected table. Everything works on the first run - tables are switched, columns are displayed, combobox reacts to tables being added, closed...

    miguello miguello
    Discussions |
    Dec 15, 2025 10:40 AM
    633 views | 0 replies
  • Analyzing and Interpreting a Mixture of Mixtures Model

    I created a mixture of mixtures test plan. Now that the data are collected, I'm not sure how to interpret the results. Can I get help to verify that I designed the experiment correctly, and also walk me through how to interpret the results? I am studying the friction of asphalt surfaces, and specifically the effects of aggregate type, aggregate blend ratios on coarse and fine fractions, and asphal...

    bryantw bryantw
    Discussions |
    Dec 5, 2025 12:56 PM
    289 views | 0 replies
  • Bonferroni simultaneous confidence interval

       

    CurseOfDingo217 CurseOfDingo217
    Discussions |
    Dec 4, 2025 5:03 PM
    279 views | 0 replies
  • Calculating the missing values in AHP matrix

    Calculating the missing values in AHP matrix I have an incomplete AHP matrix, and I want to define the missing data using JMP, which method of screening values do you advice me to use, normal imputation,  SVD imputation, or RPCA imputation. My second question as one part of the AHP matrix is equal to 1 divided on the second part. How can I tell JMP that to screen only the half of missed value whic...

    NoSQLPlotPanda4 NoSQLPlotPanda4
    Discussions |
    Nov 16, 2025 10:48 PM
    387 views | 0 replies
  • How to correctly compute Odds Ratios from a Binomial Logit Generalized Linear Mixed Model (GLMM) in JMP Pro?

    I am fitting a Binomial Logit Generalized Linear Mixed Model (GLMM) in JMP Pro 18, with: binary outcome (1 = event, 0 = no event), several categorical predictors (factors), and a random intercept for subject ID to account for repeated measures / clustering. The model converges and produces a table of Fixed Effects Parameter Estimates, which includes: Estimate (β) Standard Error Lower / Uppe...

    eliyahu100 eliyahu100
    Discussions |
    Nov 16, 2025 10:51 AM
    330 views | 0 replies
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