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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).
    Regular business hours will resume at 9:00 a.m. EST on Friday, Jan. 2, 2026.
  • We’re retiring the File Exchange at the end of this year. The JMP Marketplace is now your destination for add-ins and extensions.
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Learning Resources

Latest Discussions

  • Inverse Transofrmations

    How to find inverse transformation of Random Normal Mixture with 6 known constants ( Locations 1 & 2, Dispersions 1 &2, Probabilities 1 & 2) The purpose is to calculate SPC control limits in the transformed space and then inverse transform back to the original space.  I would use another transformation but this one is easily by far the best fit. I realize Quantile limits would be much easier to us...

    Robert2 Robert2
    Discussions |
    Nov 24, 2025 6:35 PM
    183 views | 1 replies
  • Great Wishes

    There are many gems hiding in the Wish List with just a few Kudos.   Do you know of a gem that you would like to highlight for voting?
    Please post it here.

    You like one of the ideas and want to see in a future version of JMP?
    :backhand_index_pointing_right: follow the link and support the wish with a Kudo.   other Topic Containers 

    hogi hogi
    Discussions |
    Nov 20, 2025 2:42 PM
    1876 views | 16 replies
  • Bayesian optimization-exporting the underlying model

    Hello,      I have enjoyed playing around with the new Bayesian optimization platform. However, I want to compare the results to those of some machine learning models. I see in the output that you DO get a "leave-on-out" R2, but is that truly based on a single random row? Or does some "behind the scenes" breaking of the dataset into training and validation portions going on? Can I know which row(s...

    abmayfield abmayfield
    Discussions |
    Nov 20, 2025 6:49 AM
    270 views | 2 replies
  • ANCOVA(BY=アトラス)結果の多重比較補正方法に関する質問

    こんにちは。現在、JMP Student Edition を使って共分散分析(ANCOVA)を行っています。手順は次のとおりです。 モデルのあてはめ(Y:実測値、BY:アトラス番号)モデル効果の構成(疾患番号、年齢)手法:標準最小二乗強調ポイント:効果のココ比 この設定で実行すると、アトラス番号ごとに「応答実測値」のレポートが表示されます。そのレポート内の「効果の概要」にあるFDRのチェックボックスをオンにすると、FDR補正が適用されると理解しています。 目的:ANCOVAでアトラス番号ごとに統計的意識差を検定しましたが、アトラスごとに個別の検定を行っているため、偽陽性が含まれると考えられます。そこで、得られたp値をアトラス全体で多重比較補正したいと考えています。 ここで質問です: 「効果の概要」にあるFDR補正は、モデル効果に含めた因子の数(今回の場合は疾患番号と年齢の2つ)に対してのみ...

    EdgeWalrus71684 EdgeWalrus71684
    Discussions |
    Nov 19, 2025 5:44 PM
    294 views | 2 replies
  • how to calculate relative potency in parallel line model?

    Hi, I fitted the parallel line model LogY=Sample+Log_Dose in fit curve.  The parallelism test and model parameters are fine. They are exactly same as what I got in R or PLA software.  But the relative potencies are totally different. Any place to find the technical details about its calculation? Thank you!       

    acton acton
    Discussions |
    Nov 17, 2025 10:33 AM
    487 views | 5 replies

Latest Discussions

  • Inverse Transofrmations

    How to find inverse transformation of Random Normal Mixture with 6 known constants ( Locations 1 & 2, Dispersions 1 &2, Probabilities 1 & 2) The purpose is to calculate SPC control limits in the transformed space and then inverse transform back to the original space.  I would use another transformation but this one is easily by far the best fit. I realize Quantile limits would be much easier to us...

    Robert2 Robert2
    Discussions |
    Nov 24, 2025 6:35 PM
    183 views | 1 replies
  • Great Wishes

    There are many gems hiding in the Wish List with just a few Kudos.   Do you know of a gem that you would like to highlight for voting?
    Please post it here.

    You like one of the ideas and want to see in a future version of JMP?
    :backhand_index_pointing_right: follow the link and support the wish with a Kudo.   other Topic Containers 

    hogi hogi
    Discussions |
    Nov 20, 2025 2:42 PM
    1876 views | 16 replies
  • Bayesian optimization-exporting the underlying model

    Hello,      I have enjoyed playing around with the new Bayesian optimization platform. However, I want to compare the results to those of some machine learning models. I see in the output that you DO get a "leave-on-out" R2, but is that truly based on a single random row? Or does some "behind the scenes" breaking of the dataset into training and validation portions going on? Can I know which row(s...

    abmayfield abmayfield
    Discussions |
    Nov 20, 2025 6:49 AM
    270 views | 2 replies
  • how to calculate relative potency in parallel line model?

    Hi, I fitted the parallel line model LogY=Sample+Log_Dose in fit curve.  The parallelism test and model parameters are fine. They are exactly same as what I got in R or PLA software.  But the relative potencies are totally different. Any place to find the technical details about its calculation? Thank you!       

    acton acton
    Discussions |
    Nov 17, 2025 10:33 AM
    487 views | 5 replies
  • Add a Custom Button or Embed Data Filter into Custom UI

    Hi,

    Is it possible to add a custom button to the Data Filter that I can use to create a subset data table for the selected data? Alternatively, is there a way to embed the Data Filter into my existing UI so I can include buttons and other controls in a unified interface, rather than having the Data Filter appear as a separate window? I don't want to reinvent the wheel by implementing the conditiona...

    mysteriouskrypt mysteriouskrypt
    Discussions |
    Nov 17, 2025 8:57 AM
    463 views | 5 replies

Latest Discussions

  • 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
    290 views | 0 replies
  • Windows 11 > JMP 17.2 > Fit Model > Contrasts > How to Build a Contrast Matrix with More Columns than Conditions?

    Hi JMP Community, When building contrasts in a Regular Least Squares Fit Model analysis, the number of columns (i.e., discrete contrasts) is limited to the number of conditions (i.e., number of items produced by the combinations of all parameters). In many cases, I'd like to create more contrasts than conditions (i.e., comparisons of multiple pairs of factor combinations)  Example: VAR1 = A, B, C ...

    Thierry_S Thierry_S
    Discussions |
    Oct 30, 2025 9:04 AM
    189 views | 0 replies
  • How to fit a model with random effect using Nonlinear platform

    May I ask a question: In “Random Effect Model.jmp”, where the response is Y, X is a fixed effect, and Z is a random effect, how to fit the corresponding model using “Nonlinear” Platform? "Example 23.13" in the book “Statistical Methods for Reliability Data, Second Edition” is an example of accelerated life test data analysis that includes random effect,I don't know how to perform the analysis, I w...

    Rily_Maya Rily_Maya
    Discussions |
    Oct 26, 2025 4:09 AM
    209 views | 0 replies
  • Workarounds

    very simple tasks - JMP says NO.   TaskJMP saysworkaroundswishimplementedadd column via Tables/Updatecolumn existsrename one of the columnsAllow Update platform to create new columns if they already exist in the table to be updatedv19copy a cellformula column- recode to dummy column | copy cell | delete dummy column
    - screenshot | OCREdit Pane allows for text copy even if no edit                   ...

    hogi hogi
    Discussions |
    Oct 7, 2025 3:51 PM
    317 views | 0 replies
  • permutation test for PLS-DA

    Hi all!  I've run a PLS-DA test for a data set that consists of FTIR spectral data of 5 different systems under 5 different treatments. I've used the fit model platform so that I could handle categorical variables in my Y variables. According to PRESS statistics, this model has an optimum number of factors of 7 and possesses good discriminating power between my samples. Then, I noticed that the st...

    Mariana_Aguilar Mariana_Aguilar
    Discussions |
    Aug 20, 2025 8:45 PM
    1221 views | 0 replies
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