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Latest Discussions

  • What is the best analysis to use for correlations between ''viscosity, ethanol, glycerol, sugar profile'' ?

    Hello, I am interested to understand if anyone has used specific analysis for correlation between viscosity, ethanol, glycerol and sugar profile. If you can recommend the right statistic analysis, will be amazing.  

    MONOCup12 MONOCup12
    Discussions |
    May 12, 2026 2:14 AM
    146 views | 2 replies

  • Predicting degradation data

    What modeling approach can predict 24‑month concentration from previous degradation data with different initial values? There is degradation data measured over time (ex. up to 24 months) for several batches/samples.
    Each batch starts at a different initial concentration at release, and not all batches are measured at all time points (there are missing observations for later time points). All measur...

    UrsulaOrsolya UrsulaOrsolya
    Discussions |
    May 12, 2026 12:06 AM
    441 views | 13 replies

  • What is a good r2 in Mixture Design DOE

    Coming from a field, where I only had contact with calibration curves, where only 0,999 is a good fit, I wonder what r2 would be considered good in Mixture dOE Modeling? Are there other values that are important to check if I want to know if I have a good model?

    LambdaCanary630 LambdaCanary630
    Discussions |
    May 11, 2026 1:41 PM
    208 views | 7 replies

  • Lack of fit test

    Hello everyone. I have a question related to DOE.
    When conducting a Lack of fit test, how should the F ratio be calculated? F=MS residual /MS pure eror  or  F=MS lack of fit/MS pure eror. The idea is to compare the model error with the experimental error..  Are the results obtained from the two formulas different? Which result is more reliable and when is it necessary to use each of the two formula...

    DiscreteIbex427 DiscreteIbex427
    Discussions |
    May 11, 2026 8:09 AM
    203 views | 3 replies

  • Why does SLS (REML) give a different intercept than Python statsmodels for the same mixed model?

    I fitted: Y ~ A(Sum) + B(Sum) + C(Sum) + D(Sum) + Subject(&Random)   in both JMP SLS (REML) and Python statsmodels MixedLM (REML) on the same data (~14k obs, ~200 levels of A, sparse A×C cross-tabulation, ~120 random subjects). What I observe: All ~200 LS Means for factor A are shifted by a constant ~0.22 (JMP higher)Relative effects and rankings are identical (diff std < 0.001)LS Means f...

    xmq xmq
    Discussions |
    May 11, 2026 1:36 AM
    283 views | 6 replies

Latest Discussions

  • Lack of fit test

    Hello everyone. I have a question related to DOE.
    When conducting a Lack of fit test, how should the F ratio be calculated? F=MS residual /MS pure eror  or  F=MS lack of fit/MS pure eror. The idea is to compare the model error with the experimental error..  Are the results obtained from the two formulas different? Which result is more reliable and when is it necessary to use each of the two formula...

    DiscreteIbex427 DiscreteIbex427
    Discussions |
    May 11, 2026 8:09 AM
    203 views | 3 replies

  • Why does SLS (REML) give a different intercept than Python statsmodels for the same mixed model?

    I fitted: Y ~ A(Sum) + B(Sum) + C(Sum) + D(Sum) + Subject(&Random)   in both JMP SLS (REML) and Python statsmodels MixedLM (REML) on the same data (~14k obs, ~200 levels of A, sparse A×C cross-tabulation, ~120 random subjects). What I observe: All ~200 LS Means for factor A are shifted by a constant ~0.22 (JMP higher)Relative effects and rankings are identical (diff std < 0.001)LS Means f...

    xmq xmq
    Discussions |
    May 11, 2026 1:36 AM
    283 views | 6 replies

  • Cohen's d Effect Size from Mixed Model Output

    Hello, I am wondering how I can calculate a Cohen's d effect size from my mixed model output (attached), especially in the case of an interaction effect? I have seen some online resources saying to use the least squares mean difference divided by the model root mean square error in order to do so for main effects. However, when doing this, I sometimes get an effect size that appears inflated based...

    AvaSchwartz7 AvaSchwartz7
    Discussions |
    May 11, 2026 1:10 AM
    151 views | 1 replies

  • How to Look at Range Data High Medium Low

    Looking for the Best way to analysis Data when I have Ranges Upper, Mid and Lower for both Voltage and Freq. data.  See RED Columns.  Guess I could perform a Control Chart or Dist. but like to to see if their is a shift of this many Electrical Devices.   Any Suggestions?  

    CREV CREV
    Discussions |
    May 8, 2026 2:34 PM
    81 views | 0 replies

  • How to export/save RSM graph images in high resolution (300 dpi) in JMP Student Version?

    Hi everyone, I generated Response Surface Methodology (RSM) graphs in JMP Student Edition for my research work. I need to include these figures in my PhD manuscript, so I require high-resolution images (300 dpi or higher). However, when I export or copy the graphs, the image quality becomes low or blurry. I specifically need contour and 3D surface plots with publication-quality resolution Could an...

    Megala Megala
    Discussions |
    May 8, 2026 7:33 AM
    89 views | 1 replies

Latest Discussions

  • How to Look at Range Data High Medium Low

    Looking for the Best way to analysis Data when I have Ranges Upper, Mid and Lower for both Voltage and Freq. data.  See RED Columns.  Guess I could perform a Control Chart or Dist. but like to to see if their is a shift of this many Electrical Devices.   Any Suggestions?  

    CREV CREV
    Discussions |
    May 8, 2026 2:34 PM
    81 views | 0 replies

  • Hierarchical clustering platform color map columns

    I have a hierarchical cluster with ~ 2700 Y -rows and 100 columns of data. When complete I want to color map the clusters to two other columns in the data.    I can do so but then the questions start. 1.  One color map is to identify the rows of data by a type (in this case a tissue type).  That accurately displays as a color for each tissue but, how do I attach a legend to the visualization for t...

    MKostura MKostura
    Discussions |
    May 8, 2026 6:36 AM
    103 views | 0 replies

  • Inquiry regarding the procedure for PLS Discriminant Analysis (PLS-DA)

    [Environment] Version: JMP(r) Student Edition 19.1.0 (914688) License: For Academic Use Only (Expires: 2027/04/13) OS: Microsoft Windows 11 Home (10.0.26200.0)
    [Inquiry] Regarding the procedure for performing PLS Discriminant Analysis (PLS-DA)
    I am attempting to perform a PLS Discriminant Analysis (PLS-DA) using JMP Student Edition, as I understand this feature is supported in this edition. I ...

    SignBurro204 SignBurro204
    Discussions |
    Apr 24, 2026 3:30 AM
    152 views | 0 replies

  • defining function scope changes how result is returned

    Why don't all three of these return their unevaluated argument like the first one does? Is there a way to make the last two work like the first? Inside the function, e is still unevaluated, this seems to happen when the result is returned. names default to here(1); ns = New Namespace("n"); foo = function({e}, Name Expr(e) ); ns:bar = function({e}, Name Expr(e) ); show( foo( expr( notavar...

    ih ih
    Discussions |
    Apr 20, 2026 1:45 PM
    161 views | 0 replies

  • How does JMP bias the rate of count when calculating the probability of Partition platform with categorical responses?

    For categorical responses Partition has the response rates that are slightly biased away from zero to avoid having attributed probabilities of zero. I would like to know how to calcurate the biased probabilities.

    Takashi Takashi
    Discussions |
    Apr 16, 2026 8:41 PM
    170 views | 0 replies
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