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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

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Latest Discussions

  • JSL Code for Replace with Transform

    Hi All   I looking for the JSL code to get the "Fit Model" platform to Box Cox transform data automatically by using the "Replace with Transform" or "Refit with Transform"      Thanks for all your help    Regards Jakob

    Jakob Jakob
    Discussions |
    Sep 12, 2025 2:14 AM
    1960 views | 4 replies

  • Evaluate performance linear fit VS log fit

    Hi all,   I was wondering if you have any suggestions on how to evaluate the performance of a linear model and log model (i.e. only response logarithmic transformed). I am trying to evaluate which model is better in terms of predictability and accuracy. My first guess was to compare R-squared values and RMSE values, however I seems that two models have different units and therefore cannot be direc...

    Janneman Janneman
    Discussions |
    Sep 9, 2025 7:20 AM
    1337 views | 5 replies

  • How to Exclude Random Missing point before performing PCA.

    Hi,   How to exclude missing values from the dataset before analysis. These are random missing values due to instrument malfunction. I don't want to impute my data. I have explored the 'Explore Missing Value' but that didn't help because that changes the interpretation of my PCA results.   Is there any other way to do so?   Thank you, Beginner_9

    Beginner_9 Beginner_9
    Discussions |
    Sep 9, 2025 6:48 AM
    1524 views | 6 replies

  • Log RMSE to linear RMSE

    Hi all,   I am trying to compare the RMSE values of a linear fit and log fit model. However, to my understanding the RMSE for the linear fit is in the same units as the response (for instance MPG), but the log fit has log MPG as unit. Is there a possibility within JMP that allows the calculation of RMSE in the original scale?   Kind regards, Janneman

    Janneman Janneman
    Discussions |
    Sep 9, 2025 2:17 AM
    853 views | 2 replies

  • Missing values after PCA

    What are the missing values (black dots) after you perform a PCA?  

    Beginner_9 Beginner_9
    Discussions |
    Sep 6, 2025 6:07 AM
    1000 views | 3 replies

Latest Discussions

  • How to Exclude Random Missing point before performing PCA.

    Hi,   How to exclude missing values from the dataset before analysis. These are random missing values due to instrument malfunction. I don't want to impute my data. I have explored the 'Explore Missing Value' but that didn't help because that changes the interpretation of my PCA results.   Is there any other way to do so?   Thank you, Beginner_9

    Beginner_9 Beginner_9
    Discussions |
    Sep 9, 2025 6:48 AM
    1524 views | 6 replies

  • XGboost training, validation and testing

    Hello, I have a question about handling test datasets in XGBoost. Here's my current approach: I'm using 10-fold cross-validation for model training and validationI keep a separate test dataset completely excluded during this training phase (hide and exclude in the table before launching the model)After training, I manually generate predictions on this test dataset (save predicted to table and I un...

    Sburel Sburel
    Discussions |
    Sep 5, 2025 6:29 AM
    1692 views | 2 replies

  • Simulate vs Bootstrap methods in JMP: which to use when and why

    Hi All,   I'm hoping someone from JMP might be able to provide an explanation as the the differences/similarities of the Simulate vs Bootstrap approaches when evaluating model estimates. (JMP Pro)   Some links to previous Discovery Summit presentations from Gotwalt and others can be found here, here, and here. One clear difference between the methods is that Simulate requires you to swap out a col...

    SDF1 SDF1
    Discussions |
    Sep 5, 2025 6:28 AM
    7561 views | 11 replies

  • Confidence intervals on profiler using expanded formula

    I used the Fit Curve platform to fit Gaussian curves to some viscosity vs salt% data obtained for a range of different formulations. I saved the parameter estimates for Peak Value, Critical Point and Growth Rate to my data table. Following this, I used linear regression to predict the three Gaussian peak parameters using formulation composition as predictors. I saved the prediction formulae and SE...

    CentroidError56 CentroidError56
    Discussions |
    Jul 11, 2025 1:25 AM
    677 views | 5 replies

  • How does JMP do BoxCox transformations?

    I have recently been converting JMP formulas into Excel using the python code option. I have been unable to actually transfer any formula (MLR) involving a BoxCox transformation. It have manually done the calculations following the formula and have gone numbers in the multimillions instead of 100 thousands where it should be. If someone knows if the formula is already converted back or If I need t...

    DWS DWS
    Discussions |
    Jul 3, 2025 1:37 AM
    4647 views | 23 replies

Latest Discussions

  • Sample size for Reliability Life Test

    I have used the interval explorer for parametric reliability life test planning for sample size calculation of accelerated life test. Please can someone confirm if the sample size returned is the total sample size or sample size per stress levels? Assuming I have 3 temperature levels, do I use 75 samples per temperature level or 25?

    EngrAkin EngrAkin
    Discussions |
    Dec 11, 2024 7:11 AM
    687 views | 0 replies

  • Could JMP show in a single graph a sensitivity analysis and the probability of occurrence of a result?

    Hello Community!Attached is the script "Hogi chart calculates risk and probability", an excellent work by HOGI ... which calculates the risks and probabilities of occurrence of an input or multiple inputs (x), of an output or multiple outputs (Y) or their combination in a table. For example:Would it be possible to expand the capacity of the script to make a sensitivity analysis of the inputs (x) o...

    Marco2024 Marco2024
    Discussions |
    Oct 2, 2024 5:15 PM
    705 views | 0 replies

  • Multinomial Logistic Regression Confidence for Specific Parameter Changes

    Hi,  I have a multinomial logistic regression of 3 classes: 0, 1, and 2 and have associated individual models (via Fit Y by X) for N parameters. I am now looking into a sensitivity like study in which each parameter is assumed at certain levels (e.g. at min, max etc..). I have probabilities computed at each such parameter level. I like to rank order probability change in each class (0, 1 and 2) du...

    altug_bayram altug_bayram
    Discussions |
    Sep 5, 2024 9:02 AM
    805 views | 0 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
    1037 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
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