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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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Welcome to the JMP User Community!

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Learning Resources

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

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Latest Discussions

  • Different results when forcing a quadratic model in fit model platform vs a simple square transformation

    Hello Community, I have a question regarding a comparison of results between the results of a 2nd degree polynomial and a square transformation. To make things simple I created some mock data I'm gonna attach to this message, but here below a screenshot:  For the polynomial approach, I did it on "fit model" platform and ticked "no intercept" option and also unticked "center polynomials" in the mod...

    Julianveda Julianveda
    Discussions |
    Sep 4, 2024 5:02 AM
    1316 views | 2 replies

  • Building and validating zero-inflated negative binomial regression models

    Dear JMP community,I am presented with a problem of building a model using over-dispersed zero-inflated count data. I hope you can help me with this.I have attached both training and validation datasets to this post. My objective is to build my model on the training dataset and validate it using the validation dataset. I have not worked with such count data before and therefore do not know validat...

    stat_ranger stat_ranger
    Discussions |
    Sep 4, 2024 1:57 AM
    1036 views | 0 replies

  • What might be the most appropiate approach to modeling an ordinal response variable in a DoE ?

    Hi Community, I have a DoE with several response variables. One of those response variables is an ordinal one having levels: -3, -2, -1, 0, 1, 2 and 3. My questions is what might be the best or more pertinent way to model this response variable ? is it to model it as an ordinal variable using logistic regression ? or considering the variable as a continuous one and using traditional Ordinal least ...

    Julianveda Julianveda
    Discussions |
    Aug 28, 2024 5:55 AM
    2043 views | 4 replies

  • Training and Validation R2s in Lasso/Elastic net

    Dear all, I use k-fold cross-validation in combination with penalized regression models (lasso, elastic net) and want to examine the (averaged) R2 values of the training/validation sets to check for overfitting and explained variance. I already searched around with the many options, but I can not find that. Is there a way to show this? It would be great, if that could be shown in the overview tabl...

    MarkusJH MarkusJH
    Discussions |
    Aug 23, 2024 10:52 AM
    3080 views | 5 replies

  • Nonlinear Fit SSE Grid Scripting Syntax

    I'm using JMP 17.2 and I can't find much information online with how to script an SSE Grid using the nonlinear tool under 'Specialized Modeling'. I can see from the scripting index the below, but I can't see how to set the min, max, and number of points programmatically via the scripts. Is someone able to explain the syntax that can be used with SSE Grid with an example of setting the parameter mi...

    ScrivensL ScrivensL
    Discussions |
    Aug 20, 2024 9:41 AM
    892 views | 1 replies

Latest Discussions

  • Building and validating zero-inflated negative binomial regression models

    Dear JMP community,I am presented with a problem of building a model using over-dispersed zero-inflated count data. I hope you can help me with this.I have attached both training and validation datasets to this post. My objective is to build my model on the training dataset and validate it using the validation dataset. I have not worked with such count data before and therefore do not know validat...

    stat_ranger stat_ranger
    Discussions |
    Sep 4, 2024 1:57 AM
    1036 views | 0 replies

  • Training and Validation R2s in Lasso/Elastic net

    Dear all, I use k-fold cross-validation in combination with penalized regression models (lasso, elastic net) and want to examine the (averaged) R2 values of the training/validation sets to check for overfitting and explained variance. I already searched around with the many options, but I can not find that. Is there a way to show this? It would be great, if that could be shown in the overview tabl...

    MarkusJH MarkusJH
    Discussions |
    Aug 23, 2024 10:52 AM
    3080 views | 5 replies

  • Database to practice experimental designs.

    Please, could you tell me where I can find a database to practice the different experimental designs, other than books? I would like scientific papers, but these only provide summary results. Thank you very much.

    CrhistianDoE CrhistianDoE
    Discussions |
    Aug 3, 2024 12:03 PM
    856 views | 1 replies

  • How do to determine optimal biomarker cutoff in a multivariable logistic regression model

    Dear Colleague My lab has discovered a biomarker that predicts bad outcomes for pregnant moms. I am trying to figure out how to determine an optimal cutoff in the multivariable model, i.e., one that includes all the clinical characteristics and the biomarker that predicts the binary outcomes, i.e., bad outcomes for pregnant moms.  I use the decision threshold tool to change the sensitivity and spe...

    jambo jambo
    Discussions |
    Jul 30, 2024 9:31 AM
    1166 views | 1 replies

  • How do I make a weighted variable column in jump to run model screening?

    Hi All:Would someone be able to direct me in how to make a weighted variable column in jump to run model screening?my split is: 14%/86% Thank you,Nisha

    NishaKumar2023 NishaKumar2023
    Discussions |
    Jul 20, 2024 7:19 PM
    852 views | 1 replies

Latest Discussions

  • Building and validating zero-inflated negative binomial regression models

    Dear JMP community,I am presented with a problem of building a model using over-dispersed zero-inflated count data. I hope you can help me with this.I have attached both training and validation datasets to this post. My objective is to build my model on the training dataset and validate it using the validation dataset. I have not worked with such count data before and therefore do not know validat...

    stat_ranger stat_ranger
    Discussions |
    Sep 4, 2024 1:57 AM
    1036 views | 0 replies

  • Hyperparameters and neural network architecture

    Hello,I'm trying to reproduce the results obtained on JMP with the "Neural" model by adding nested cross-validation, which is not possible on the software. However, the architecture is very unclear and I can't understand the calculations performed by the model. I don't have access to certain information such as batch size, optimizer used, loss, learning rate (except the one for the boosting), and ...

    Grizzly Grizzly
    Discussions |
    Jul 2, 2024 5:42 AM
    645 views | 0 replies

  • hybrid models

    Why doesn't a large and powerful program like JMPPRO contain hybrid models in time series such as the ARIMA-ANN model, ARMAX model, and others?

    Raaed Raaed
    Discussions |
    May 31, 2024 9:43 AM
    781 views | 0 replies

  • JMP Broadcasting statistical analysis

    We want to investigate the way which is suitable for searching predict and forecasting of medical region.
    For example, using stepwise parameter analysis, partial results of marketing will be used by data driven.
    Moreover we want to develop marketing extensive predictive analysis from marketing perspective.

    JMPLOVE1234 JMPLOVE1234
    Discussions |
    Apr 15, 2024 1:49 AM
    721 views | 0 replies

  • FDE - How does JMP deal with sparse data if user doesn't perform pre-alignment?

    Hi, My question refers to the situation where the user doesn't opt for Direct Functional PCA (Functional Data Explorer Platform Options). By pre-aligment I refer, for instance, to the functions `Reduce` and `Align` detailed in Data Processing Options.I would like to know if, for sparse data (Overview of the Functional Data Explorer Platform), JMP performs an automatic alignment if the user doesn't...

    ConstructCoyote ConstructCoyote
    Discussions |
    Mar 11, 2024 3:00 AM
    708 views | 0 replies
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Revolutionizing Spectral Baseline Correction in JMP: Harness the Power of Python Integration

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