cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • Register to attend Discovery Summit 2025 Online: Early Users Edition, Sept. 24-25.
  • New JMP features coming to desktops everywhere this September. Sign up to learn more at jmp.com/launch.

Welcome to the JMP User Community!

Ask questions, get answers, meet other JMP users
cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 

Learning Resources

Latest Discussions

  • Sample size calculation for a new lot of materials

    Hi,I'm looking to qualify new lot of the controls for an assay and was wondering what the best way is to accomplish in JMP (or to determine the sample size/number of experiments) in JMP.Thank you

    DFereidouni DFereidouni
    Discussions |
    Nov 22, 2023 2:18 AM
    1260 views | 1 replies
  • Why does selecting/deselecting rows trigger column formulas to be re-evaluated?

    I have a data table with approximately 100,000 rows and 2000 columns.  Dozens of these columns contain formulas.  When I make a change somewhere I notice the status bar says "evaluating ##column_xyz" and it proceeds to evaluate every formula in the data table.  Since this is a rather large table and there are many formulas, it takes up to 60 seconds to evaluate all of them.  Consequently, I am ver...

    Chris_Rodrigues Chris_Rodrigues
    Discussions |
    Nov 22, 2023 1:03 AM
    14864 views | 13 replies
  • Counting outliers for the purpose of improving a process

    JMP 17.2We analyze data distributions from our devices and may see outliers below the 1st quartile and above the 3rd quartile. We wish to improve the manufacturing process to reduce the number of outliers. Is there a function or application that counts the outliers? For example, the output I wish to see is as follows:TestDistributionNo. of outliers below 1st quartileNo. of outliers above 3rd quart...

    MichaelR1 MichaelR1
    Discussions |
    Nov 22, 2023 12:02 AM
    1385 views | 1 replies
  • When the neural network of JMP is operated in Python, the value is different.

    When the neural network created by JMP was saved and run in python code, it output values different from the score output by JMP.

    OS:windows 10Python Version : 3.9

    File list jmp_score.py
    CNN_NTanH_boost.py <- JMP Python 
    mypython_code.py


    import CNN_NTanH_boost
    import numpy as np
    import pandas as pdfilepath = r"filepath" ext = 'csv' if filepath.endswith(ext): df=pd.read_csv(filepath) else : df=pd....

    TShiino TShiino
    Discussions |
    Nov 21, 2023 8:48 PM
    831 views | 0 replies
  • JSON code returning unwanted curly braces

    Hi, I am hoping to get returned numbers only, though am getting results like: -    {1.6853394618}Can anyone help re-write this: - {1.6853394618, 1.1953542099, 0.5582366613, 0.4790270411, 0.4159308661, 0.4145532579, 0.3847474328, 0.1964273334, 0.1680691329, 0.1715601671,
    0.2542918024, 0.1972811076, 0.2371273713}[Loc Sorted( [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], :Age )] JMP 17.2.0

    Mick1 Mick1
    Discussions |
    Nov 21, 2023 3:26 PM
    2143 views | 4 replies

Latest Discussions

  • When the neural network of JMP is operated in Python, the value is different.

    When the neural network created by JMP was saved and run in python code, it output values different from the score output by JMP.

    OS:windows 10Python Version : 3.9

    File list jmp_score.py
    CNN_NTanH_boost.py <- JMP Python 
    mypython_code.py


    import CNN_NTanH_boost
    import numpy as np
    import pandas as pdfilepath = r"filepath" ext = 'csv' if filepath.endswith(ext): df=pd.read_csv(filepath) else : df=pd....

    TShiino TShiino
    Discussions |
    Nov 21, 2023 8:48 PM
    831 views | 0 replies
  • JSON code returning unwanted curly braces

    Hi, I am hoping to get returned numbers only, though am getting results like: -    {1.6853394618}Can anyone help re-write this: - {1.6853394618, 1.1953542099, 0.5582366613, 0.4790270411, 0.4159308661, 0.4145532579, 0.3847474328, 0.1964273334, 0.1680691329, 0.1715601671,
    0.2542918024, 0.1972811076, 0.2371273713}[Loc Sorted( [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], :Age )] JMP 17.2.0

    Mick1 Mick1
    Discussions |
    Nov 21, 2023 3:26 PM
    2143 views | 4 replies
  • Could JMP optimize factors with uncertainty?

    Hello community!!,A question: will it be possible for the profiler to find the best combinations of factors with uncertainty when performing a simulation, which maximize the total utility and minimize the total cost, generating a table of the best combinations found? For example: 

    Marco1 Marco1
    Discussions |
    Nov 21, 2023 9:08 AM
    786 views | 0 replies
  • Sample Size Calculation

    Hi All, I am planning an experiment to understand the lifetime of a product. Samples will be cut-out from the product. A batch of product is 15000 and I will cut smaller pieces suitable for bending test. Samples will be stored in different chemicals and there will at least 5 time-periods. I take out after each t1, t2, ... samples out of the solution an test. By this my goal is to fit the degradati...

    Metin_Tueluemen Metin_Tueluemen
    Discussions |
    Nov 21, 2023 6:48 AM
    986 views | 1 replies
  • Density contours in ternary diagrams

    Hello,Is there a way to plot density contours on a ternary diagram in JMP17?If not, is there a way to do this by using a custom Contour Formula in the ternary plot platform? What would be this formula? Thanks

    dp30 dp30
    Discussions |
    Nov 21, 2023 1:20 AM
    3356 views | 8 replies

Latest Discussions

  • When the neural network of JMP is operated in Python, the value is different.

    When the neural network created by JMP was saved and run in python code, it output values different from the score output by JMP.

    OS:windows 10Python Version : 3.9

    File list jmp_score.py
    CNN_NTanH_boost.py <- JMP Python 
    mypython_code.py


    import CNN_NTanH_boost
    import numpy as np
    import pandas as pdfilepath = r"filepath" ext = 'csv' if filepath.endswith(ext): df=pd.read_csv(filepath) else : df=pd....

    TShiino TShiino
    Discussions |
    Nov 21, 2023 8:48 PM
    831 views | 0 replies
  • Could JMP optimize factors with uncertainty?

    Hello community!!,A question: will it be possible for the profiler to find the best combinations of factors with uncertainty when performing a simulation, which maximize the total utility and minimize the total cost, generating a table of the best combinations found? For example: 

    Marco1 Marco1
    Discussions |
    Nov 21, 2023 9:08 AM
    786 views | 0 replies
  • Choice platform, analysis of discrete choice: random parameters logit analysis?

    Hi there,I have a question concerning the choice platform. I have conducted a discrete choice experiment and analysed it using JMP. I have the choice profiles dataset, and the choices run (or responses) on another. I have done my analysis, and it bears interesting results.A colleague suggested performing a random parameters logit analysis. Is it possible to do it in JMP? How does it differ from th...

    gav2013 gav2013
    Discussions |
    Nov 17, 2023 8:07 AM
    747 views | 0 replies
  • Caution: Places where Jmp does something unexpected

    Definitely, JMP is Not a Spreadsheet . And that's great!! Besides this difference, there are other places where Jmp doesn't do/behave/produce what a newbie / innocent Jmp user expects.
    If a user knows these issues and the remedies and workarounds -  he/she can
    a) save a lot of time b) be safe from data loss c) be sure that the results are as expected.

    [More Topic Containers like this]   Topicdescrip...

    hogi hogi
    Discussions |
    Nov 17, 2023 4:15 AM
    1198 views | 0 replies
  • Is it possible to change the color of the median line in a box plot (with graph builder) via JSL?

    Is it possible to change the color of only the median (horizontal) line in a box plot (with graph builder) via JSL? If yes, could I get an example please (I am on JMP 16.2)?

    Neo Neo
    Discussions |
    Nov 15, 2023 7:25 AM
    837 views | 0 replies
view all discussions