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Learning Resources

Latest Discussions

  • Saving Multiple Equation Coefficients?

    Hi:I am aware of saving prediction equations in the Fit Model platform, copying the parameters from the Fit Y by X platform, and displaying the equations from fitted lines on Graph Builder ... but none of those really meet my need.What I am trying to do is to save - either to the data table or anywhere else - the fitting equations for multiple fits.  For example, I could be fitting amount of mater...

    andersonmj2 andersonmj2
    Discussions |
    Jun 16, 2016 8:51 AM
    10464 views | 3 replies
  • Aliasing of Effects with a foldover design

    Hello,Here is my problem:First I create a screening design (7 factors and 8 runs). In the DOE dialog window, I can check the Aliasing of Effects before creating the table.Then I would like to add more runs. To do that I go to the platform Augment Design and I create a foldover design.I would like to know what is the aliasing structure of this new design however I do not know where I can find this ...

    anne_sa anne_sa
    Discussions |
    Jun 16, 2016 12:05 AM
    9889 views | 4 replies
  • Exploring correlations in a large dataset

    I'm using JMP pro and working with a large data set of plant process variables that I want to explore how they might affect production or some other performance parameters in the plant. Are there any guides or resources on how I can start with this? I've been going through JMP videos on youtube but they don't go very deep into analysis. So far, I've only figured out  that I should "screen predicto...

    tnad tnad
    Discussions |
    Jun 15, 2016 3:28 PM
    18847 views | 8 replies
  • How to hide negative standard error bar for Graph Builder bar chart.

    Hello,I would like to produce a bar chart containing only bars of the means with their associated positive standard error bars. In JMP it seems that both (symmetrical) bars above and below the mean show.Wondering if there is a way to hide the lower bar.Thanks,JP

    bio_grad bio_grad
    Discussions |
    Jun 15, 2016 12:43 PM
    14324 views | 3 replies
  • Fit Y by X -> plot -> Matching colum. Question: how highlight (differently) matching points (eg, with White circle and Black circle)?

    Fit Y (temperature) by X (two groups) -> got plot -> then I make “Matching colum” (I have colum: 0-survival patients, 1- dead)-> now I want highlight the survival patients with White Circle marker and died with Black circle. How to do it on plot? (I can do it in the data table, but do not know how to do it on graph.) Thanks!

    Ted Ted
    Discussions |
    Jun 15, 2016 7:18 AM
    10266 views | 4 replies

Latest Discussions

  • excel slope formula in JMP

    Hi all,I'd like to know what is the excel 'slope' formula in JMP.    (not 'Bivariate' analysis menu)If JMP does not have a formula format for 'slope',  would you help me to make a JMP formula as below?Slopexyslop 11-22?33?44?55?66?

    Steve_Kim Steve_Kim
    Discussions |
    Jun 14, 2016 5:59 AM
    6903 views | 2 replies
  • Two-way ANOVA 'error'

    I am trying to run a two-way ANOVA (unbalanced) with two main effects: Effect A has 7 levels (6 + control); Effect B has 4 levels (3+control). When I run a full factorial, JMP 'ignores' the controls or I get that 'Lost DFs' in the ANOVA table and no results. What is going ON? It has something to do with the controls...

    lholli8 lholli8
    Discussions |
    Jun 12, 2016 12:21 PM
    4843 views | 5 replies
  • Tip: How to force a zero intercept for "Model Coefficients for Original Data" in Partial Least Squares

      The problem I had was that I was still getting a non-zero Intercept Coefficient under “Model Coefficients for Original Data” even if I checked No Intercept.  (I did get a zero Intercept Coefficient under “Model Coefficients for Scaled Data.) I found that if I uncheck the “Centering” box when selecting [Personality: Partial Least Squares] it will then give me the desired zero for the Intercept Co...

    dlifke dlifke
    Discussions |
    Jun 10, 2016 3:08 PM
    4681 views | 1 replies
  • Formula needed to remove non numeric from a numeric field

    Is there a formula to remove a non numeric from a numeric data field ?

    vinkane vinkane
    Discussions |
    Jun 8, 2016 3:24 PM
    4021 views | 2 replies
  • How can I get MLE for a custom model?

    I'm new to JMP so sorry if this is simple. I've read the user manual over and over and cant find the info I need.I want to find parameters for a custom distribution ideally, or at least use the exponential distribution. Then I want to use it to get MLE for some custom models. I found that I can get MLE with exponential distribution using the "fit model" option and "generalized regression", but I h...

    rdale8250 rdale8250
    Discussions |
    Jun 2, 2016 11:12 AM
    4610 views | 1 replies

Latest Discussions

  • Co-Kriging with JMP and Matlab

    Hi!I was wondering if anyone already tried to work with Co-Kriging, using JMP together with Matlab. As JMP only fits Ordinary Kriging Models (Gaussian Process with Gaussian Correlation Function), I would like to send data (generated with Space Filling JMP Platform) from JMP to Matlab, fit the models there (Matlab), and bring the MODELS back to JMP, to use inside Profile Platform. Do you have any e...

    samuelbbaco0 samuelbbaco0
    Discussions |
    Dec 4, 2015 12:32 PM
    3397 views | 0 replies
  • Interpreting canonical structure and scores in discriminant analysis

    I'm trying to interpret the relative contributions of my variables in a discriminant function analysis of chemical data for three groups of rocks.  In a stepwise, linear, common covariance discriminant function analysis I'm able to generate non-overlapping 95% confidence ellipses for my three groups with no incorrectly assigned data points using 6 variables.  My understanding is that the scoring c...

    amzipkin amzipkin
    Discussions |
    Oct 20, 2015 3:25 PM
    3323 views | 0 replies
  • Generalized Segmented Distributions

    A former classmate of mine from Graduate School has recently published a paper on Generalized Segmented Distributions.  Utilizing this method, the distribution can approach any continuous density function of arbitrary form.  The method is particularly effective in fitting data with sufficient observations that are skewed and/or multimodal.  The paper can be found here:The General Segmented Distrib...

    Steven_Moore Steven_Moore
    Discussions |
    Sep 17, 2015 11:54 AM
    2267 views | 0 replies
  • Running JSL Script After Creation of a File

      

    sophiaw sophiaw
    Discussions |
    Sep 1, 2015 9:56 AM
    2442 views | 0 replies
  • Clash?

    saitcopuroglu saitcopuroglu
    Discussions |
    Aug 18, 2015 6:43 AM
    2255 views | 0 replies
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