User Community
cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • 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.
  • We’re retiring the File Exchange at the end of this year. The JMP Marketplace is now your destination for add-ins and extensions.
JMP Bar Chart

Welcome to the JMP User Community!

Ask questions, get answers, meet other JMP users

Learning Resources

Find courses, tutorials, and lots of other methods of learning JMP.

view all learning resources

Latest Discussions

  • Augment DOE

    Hello, I am trying to set-up a DOE with 5 variables. Some of the combinations are not allowed, and for a regular DOE, I can remove them from consideration using linear constraints. However, if I start with some data, and then use Augment DOE option, it removes my constraints. Is that a feature of JMP, or is there a reason for it? Why can't I have all the features available in custom DOE in Augment...

    DOE_USER DOE_USER
    Discussions |
    Nov 5, 2024 4:26 AM
    2992 views | 5 replies

  • Screening of factors by Planket burman design

    One of my factors is showing a p-value greater than 0.05 but in the half-normal plot, the factor is showing significance. What should I consider in the optimization? Should I take the p-value into consideration or a half-normal plot? Kindly explain in detail. Help me out.

    peddinti_vasu peddinti_vasu
    Discussions |
    Nov 5, 2024 1:01 AM
    751 views | 1 replies

  • Gauge R&R interpretation when accounting for Crossed effects

    The MSA used to calculate GaugeR&R recommends selecting Crossed as the Model type. This is a slightly different method compared to evaluating just the Main effects of Appraiser and Part which many spreadsheets and tools use to calculate Gauge. I understand the concept of crossed effects, but I'm having a difficult time understanding how the crossed variance calculation is made (i.e. if I want to h...

    DSchweitzer DSchweitzer
    Discussions |
    Nov 1, 2024 11:51 AM
    1638 views | 3 replies

  • Linking data table with Scatterplot and question in RSM

    Hi community, I have two questions two; one jmp specific implementation question and the other on DOE strategic question. I vaguely remember that there is a way to look at Scatterplot and data table more interactively. For instance, below I selected 4 rows that contain the variables on data table. I would like to have these conditions highlighted in the scatter plot on the right. Another question ...

    BJK_JerseyBoy BJK_JerseyBoy
    Discussions |
    Nov 1, 2024 11:13 AM
    7796 views | 17 replies

  • DOE with dependent factores

    I'm designing a DOE and decided to use the software. My DOE is made up of 6 factors defined as:layer thickness -> 0,03 and 0,06 mmLaser power -> from 100 to 400 WScanning speed -> from 400 to 1000 mm/sDistance scanning -> from 0,05 to 0,2 mmTemperature -> 0 and 200 ºCStrategy type -> chess and stripesHowever, factor 1, 2, 3 and 4 are by related by the following equation:Ev = 2/(1*3*4) and the vari...

    StandardOkapi62 StandardOkapi62
    Discussions |
    Nov 1, 2024 3:55 AM
    2502 views | 7 replies

Latest Discussions

  • Screening of factors by Planket burman design

    One of my factors is showing a p-value greater than 0.05 but in the half-normal plot, the factor is showing significance. What should I consider in the optimization? Should I take the p-value into consideration or a half-normal plot? Kindly explain in detail. Help me out.

    peddinti_vasu peddinti_vasu
    Discussions |
    Nov 5, 2024 1:01 AM
    751 views | 1 replies

  • Gauge R&R interpretation when accounting for Crossed effects

    The MSA used to calculate GaugeR&R recommends selecting Crossed as the Model type. This is a slightly different method compared to evaluating just the Main effects of Appraiser and Part which many spreadsheets and tools use to calculate Gauge. I understand the concept of crossed effects, but I'm having a difficult time understanding how the crossed variance calculation is made (i.e. if I want to h...

    DSchweitzer DSchweitzer
    Discussions |
    Nov 1, 2024 11:51 AM
    1638 views | 3 replies

  • DOE with dependent factores

    I'm designing a DOE and decided to use the software. My DOE is made up of 6 factors defined as:layer thickness -> 0,03 and 0,06 mmLaser power -> from 100 to 400 WScanning speed -> from 400 to 1000 mm/sDistance scanning -> from 0,05 to 0,2 mmTemperature -> 0 and 200 ºCStrategy type -> chess and stripesHowever, factor 1, 2, 3 and 4 are by related by the following equation:Ev = 2/(1*3*4) and the vari...

    StandardOkapi62 StandardOkapi62
    Discussions |
    Nov 1, 2024 3:55 AM
    2502 views | 7 replies

  • Augment Design not respecting Covariate Factors

    I am screening a reaction using a custom design generated 6 continuous factors and 2 covariate factors, with 1 continuous factor set to be hard to change, 3 whole plots, 24 runs. I have already run 8 reactions, and the hard to change factor (temperature) is easier to change than initially thought. So I want to change the design to one that has more power for predicting temperature effects whilst k...

    DecilePlatypus DecilePlatypus
    Discussions |
    Oct 30, 2024 9:10 AM
    1412 views | 3 replies

  • 如果试验自变量为分类变量，响应为连续变量，是否可以使用正交设计进行筛选？

    如果试验自变量为分类变量，响应为连续变量，是否可以使用正交设计进行筛选？例如：氨基酸作为一个自变量，其中有20种不同的氨基酸，维生素作为一个自变量，其中有8种，筛选氨基酸和维生素的最佳组合，可否使用正交设计，谢谢！

    wzm wzm
    Discussions |
    Oct 29, 2024 7:35 PM
    1262 views | 2 replies

Latest Discussions

  • How do I replace a prediction expression in a fit model with a specific expression?

    Hi, I am completing a DOE and I have ran a fit model using the JMP software to define a design space based on desirability of certain variables, however one of the desirability variables is a simple ratio of two of the construct model effects, however when running the model, the model is defining its own prediction expression for this variable rather than using the formula in the data table. Does ...

    supermackie93 supermackie93
    Discussions |
    Oct 24, 2024 5:40 AM
    667 views | 0 replies

  • How does AICc criterion and Combined rules interact in Stepwise Fit Platform?

    As an entry-level user of JMP but with a bit of statistical knowledge. I encountered with a problem when trying to use the stepwise fit platform to develope a regression model for my DoE dataset. 

    I read the JMP help book and understand how combined rule applied to p-value based stepwise regression (a joint F-test and another partial F-test of interaction effect when added precedent main effects). ...

    Yun Yun
    Discussions |
    Oct 15, 2024 10:52 PM
    753 views | 0 replies

  • latin hyper cube

    Hi there, 

    I am attempting to run latin hyper cube with three continuous and one categorical factors, but the option is not available except for fast flexible filing design; can anyone assist me with this? thanks in advance

    H6Habib H6Habib
    Discussions |
    Aug 14, 2024 1:58 PM
    752 views | 0 replies

  • Creating DOE (and fitting) for non-linear response

    Hello, I am still new to JMP but I'm trying to determine the best way to model a non-linear system (generating DOE + model fitting). Context: Long story short, I have a large experimental space that I am trying to model (10 discrete variables + 10 continuous variables). Before I jump into my full experiment I'm working with a subset (1 discrete variable + 5 continuous variables) to make sure I'm m...

    EndogenousCame1 EndogenousCame1
    Discussions |
    May 20, 2024 1:19 PM
    1048 views | 0 replies

  • Robust vs. Non Robust Response Screening/ Categorical Outliers

    Hello! I appreciate your help in advance!  I am currently trying to figure out the proper way to analyze my data!  I had used the DOE feature of JMP to create this fraction factorial of 24 runs for m experiment. The goal is two screen which categories have the most effect on the success rate. I had initially use the response screening option to analyze my results, when I did that none of my values...

    MedianPuppy4982 MedianPuppy4982
    Discussions |
    May 14, 2024 7:56 AM
    916 views | 0 replies
view all discussions

JMP Events

Sorrento, Italy 10-12 March
view all events
Latest Blog Post

Revolutionizing Spectral Baseline Correction in JMP: Harness the Power of Python Integration

JMP blog post photo
view all blog articles

Learn more about JMP's premier analytics conference