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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.
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Learning Resources

Find courses, tutorials, and lots of other methods of learning JMP.

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Latest Discussions

  • How can I perform Machine Learning Modeling using JMP18 Python Script?

    Hello,
    I am working on creating a LightGBM model using a JMP Python script (JMP18).
    My current setup is as follows:
      - X variables: "train1.csv" file, columns D1 through D1776
      - Y variable: "y1.csv" file, "Activity" column  - Prediction target "Activity": "test1.csv" file, columns D1 through D1776
      - Note: Original file "train_original.csv" file, columns Activity through D1776. from Kaggle.com  (Pr...

    Steve_Kim Steve_Kim
    Discussions |
    May 13, 2024 9:12 PM
    4581 views | 2 replies

  • Interaction Profiler: show Datapoints?

    In Jmp18, there is a new feature to activate data points in Prediction Profiler enhancements in JMP® 18 Is there an option to activate the data points as well for interaction profiler?

     

    hogi hogi
    Discussions |
    May 6, 2024 10:00 PM
    3320 views | 4 replies

  • kernel control chart

    Hello.
    my question is how can I fit a kernel density plot for my predictive model residuals in a way that first identifies and removes outliears data points, and then presents the final kernel plot with no outliears data along with its confidence bounds and shape?

    maryam_nourmand maryam_nourmand
    Discussions |
    May 6, 2024 11:51 AM
    905 views | 1 replies

  • reference for computation of bounded variance components in mixed effect model

    Hello,I was looking for a reference explaining how the variance components of a mixed effect model are computed with the "unbounded variance components" option unthicked. Thanks! PY

    PYS PYS
    Discussions |
    May 6, 2024 12:25 AM
    1475 views | 2 replies

  • model screening

    Hello.
    The question I have is that I have a dataset, and I want to separate 30% of this dataset for testing. I want to try different models using model screening, but for the validation part of my models, I want all my models to use exactly the same test dataset for validation.
    What should I do for this purpose?

    maryam_nourmand maryam_nourmand
    Discussions |
    May 5, 2024 4:29 AM
    1807 views | 3 replies

Latest Discussions

  • kernel control chart

    Hello.
    my question is how can I fit a kernel density plot for my predictive model residuals in a way that first identifies and removes outliears data points, and then presents the final kernel plot with no outliears data along with its confidence bounds and shape?

    maryam_nourmand maryam_nourmand
    Discussions |
    May 6, 2024 11:51 AM
    905 views | 1 replies

  • Multi component, multi supplier and multi concentration DoE design

    I am trying to create a DoE design in which I have 3 supplement types and each supplement have 3 different suppliers. I would like to test more than 3 concentrations for each supplement. So I would need to use discrete numeric design, however this would mean that JMP's suggestion on the ideal concentration wouldn't be outside of these predetermined numbers. Another issue I seem to be facing with i...

    Moses8 Moses8
    Discussions |
    Apr 30, 2024 9:54 AM
    1672 views | 4 replies

  • Model Screening: Neural network / K-fold crossvalidation

    I need to use model screening to fit a model by Neural network. the default setup for NN is 3TanH. but when I change setup in model launch ( For example: 1TanH 1 Linear 1 Gaussian), it shows me an alert: " Note: The data table has changed. The output no longer represents the data. TO synchronize the output with the data, select "sync to data table changes" from the platform menu."How can I change ...

    Nimaxim Nimaxim
    Discussions |
    Apr 30, 2024 2:28 AM
    1677 views | 2 replies

  • Which post hoc test can I use after a friedman test?

    Hi there.I'm using the Friedman test on my data and now I would like to know which of the non-parametric comparisons can I use as a post hoc test. The test I wanted to use was Bonferroni, for making the adjustments and error corrections. What should I do?

    CompositeRam426 CompositeRam426
    Discussions |
    Apr 25, 2024 4:51 AM
    8051 views | 8 replies

  • Finding the perfect lightweight hiking food

    This rabbit hole is just for fun: I found a huge spreadsheet that lists data for thousands of potential hiking foods. My question is: What is the most lightweight mixture of foods that you can bring camping that has the ideal balance of macronutrients? (60% carbs, 20% protein, 20% fats).  Thoughts:1. You want to minimize the weighted average g/calories.2. I'll assume you can get micronutrients by ...

    RatioModelOx453 RatioModelOx453
    Discussions |
    Apr 18, 2024 2:45 PM
    2959 views | 6 replies

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Revolutionizing Spectral Baseline Correction in JMP: Harness the Power of Python Integration

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