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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
    1976 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
    1363 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
    1539 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
    866 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
    1004 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
    1539 views | 6 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
    7609 views | 11 replies

  • Mediation analysis with survival data

    Hello!    I was wondering how you can build a mediation analysis with survival data in JMP Pro 18. I am attempting to use SEM to test if my X (continuous) variable mediates the relationship between Treatment (binary) and abstience duration since post-treatment (survival variable).    Thank you in advance.

    Pau_lina Pau_lina
    Discussions |
    Sep 2, 2025 10:38 AM
    442 views | 1 replies

  • Survival analysis with continous variables

    Hello!   I want to identify potential covariates that may influence my survival data (continuous abstinence). Most of my potential covariates are continuous variables. I am unsure how to run this analysis with continuous variables instead of grouping variables. Any suggestions or tips would be helpful!   Thank you!

    Pau_lina Pau_lina
    Discussions |
    Sep 1, 2025 2:04 AM
    321 views | 1 replies

  • How to subtract a variability from regression

    Hello everyone, I’m learning regression and have some questions about variability. Suppose I want to study the impact of a factor X on a process response Y. The regression results suggest that moving from condition level A to B of X changes Y by about 10%. However, I also know that the process itself has variability — for example, even at the same condition level of X, Y might fluctuate by around ...

    MateoB MateoB
    Discussions |
    Aug 29, 2025 10:05 AM
    347 views | 1 replies

Latest Discussions

  • 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

  • Rows inclusion in PCA

    Hello,   I am running a PCA on an NMR dataset that contains some missing values. This isn't due to an error—it's simply the nature of the data, as some samples do not show certain peaks.  I have noticed that when I include these parameters Y variables in the PCA and color the score plot by sample, some samples are missing entirely from the plot. It's not consistent—some samples with missing values...

    NMR NMR
    Discussions |
    Jul 11, 2025 3:57 AM
    333 views | 0 replies

  • 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
    701 views | 0 replies

  • Logistic regression - confidence bands.

       

    beimar_iriarte_ beimar_iriarte_
    Discussions |
    Jan 10, 2025 12:10 PM
    640 views | 0 replies

  • ods output "DIFFS" in proc mixed

    Hi everyone,for my proc mixed I already got a table with Least-Squares Means, ods output "lsmeans".Additionally, I would like to have a table for the differences, ods output “DIFFS”.Can anyone tell me how to get to this output in the current jmp version (18.1.0)?Thanks in advance for your support.

    lvierbaum lvierbaum
    Discussions |
    Dec 12, 2024 5:32 AM
    732 views | 0 replies
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