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  • Predictor screening always showing up as 0 contribution?

    All variables all showing up as 0 contribution. Whether in put 6 or 20 columns into the X variable selection, it always comes out as 0. I’m using a data point for everyday for the past ~5 years. Is there a specific reason why this is happening?

    ExpectedHyena69 ExpectedHyena69
    Discussions |
    Jul 2, 2025 4:37 PM
    621 表示 | 2 件の返信

  • I-optimal custom DOE RSM design with continuous and categorical factors - centre points not balanced?

    Hi, I want to create an I-optimal custom DOE with 5 continuous factors and one categorical factor (with 2 levels). I also want to have 4 centre points which I specify on set-up. I also choose RSM for my model as I know there is curvature. When JMP creates the design, the centre points are not equally divided across the two categorical levels - one category gets 4 centre points and the other gets 2...

    Here4DOE Here4DOE
    Discussions |
    Jul 2, 2025 9:02 AM
    452 表示 | 1 件の返信

  • How does JMP Calculate Fixed Effects?

    I am comparing mixed model fixed effect calculations made in JMP versus R, attempting to produce similar results. I have been told JMP is using a Type III ANOVA. However, when I run a Type III in R (Wald Chisquare test), I get differing p values and sometimes different significant results. Additionally, the F ratio appears to replace the chi square value. Does anyone know what specific type of tes...

    SaltyScientist SaltyScientist
    Discussions |
    Jul 2, 2025 7:27 AM
    438 表示 | 2 件の返信

  • post-hoc analyses when using non-linear regression

    I have data from a dose-response experiment (pharmacology) to which I fitted a modified Michael-Menten model using non-linear regression (--> specialized modeling --> nonlinear (model = A*(1-exp(-k*dose))^c + intercept)). In this experiment the accent was put on testing many different levels; the number of observations for an individual level is limited (insufficient for a direct analysis of varia...

    tvkmez11 tvkmez11
    Discussions |
    Jul 2, 2025 6:04 AM
    375 表示 | 1 件の返信

  • Timestamp question

    Hello, I am challenged by the removal of a timestamp in a cell. See example. 01/07/2025 12:00:00 AM I want to remove the 12:00:00 AM and achieve this  01/07/2022. Thank you in advance for your assistance.

    Mawkish Mawkish
    Discussions |
    Jul 1, 2025 11:48 PM
    602 表示 | 3 件の返信

最新のディスカッション

  • Calculating Z‐value and Effect Size (r) for a Paired Wilcoxon Signed‐Rank Test

    We performed a paired Wilcoxon signed-rank test to compare pre- and post-intervention values. Is there a method or add-in available to calculate the r and Z values?

    Tos Tos
    Discussions |
    Jun 30, 2025 6:50 AM
    415 表示 | 0 件の返信

  • File Exchange - end of life in 2025

    Important info: File Exchange transitioning to JMP Marketplace 

    hogi hogi
    Discussions |
    Jun 26, 2025 9:41 PM
    315 表示 | 0 件の返信

  • Remove Crosshair in Profiler

    Hello everyone, I am looking for a solution to remove the crosshair in the Prediction Profiler. Any kind of hack would be helpful, like e.g. changing the transparancy. 

    AnjaW AnjaW
    Discussions |
    Jun 18, 2025 5:15 AM
    480 表示 | 0 件の返信

  • How to export a model formula to Excel?

    I want to be able to take the prediction formula that I got from my multiple linear regression and put it in excel. I have multiple Quantitative and Categorical X variables and some are splined. I have also preformed a BoxCox transformation. What are the steps that I need to do to take the formula that is given and have it working in excel. I have no coding experience but am not against learning a...

    DWS DWS
    Discussions |
    Jun 13, 2025 8:33 AM
    547 表示 | 0 件の返信

  • Testing slices in JMP Pro Mixed Model?

    Hello, I am doing a 4-way, full factorial ANOVA with one repeated measures factor (time, 3 samplings) and three between-subject factors (species, color, and irrigation; 2 levels of each) using the Mixed Model personality in JMP Pro 18.1.0. I'm using the AR(1) repeated covariance structure, as it provides the best fit based on AICc values. The analysis indicates I have no significant 4- or 3-way in...

    JHS JHS
    Discussions |
    May 7, 2025 7:38 AM
    713 表示 | 0 件の返信
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Revolutionizing Spectral Baseline Correction in JMP: Harness the Power of Python Integration

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