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Learning Resources

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Latest Discussions

  • Basic Question - Central Composite Design

    Hello, I wondered if I could ask a question about orthogonality of the squared term columns in a Central Composite Design (CCD) with two factors A and B. The dot product of any pair of columns in the model matrix is always zero - I always understood this to mean that the column (vectors) of say A with B or B with AB or B with B^2 are orthogonal (at right angles to) each other so their beta's can b...

    PunksNotDead PunksNotDead
    Discussions |
    Nov 19, 2024 1:43 PM
    3603 views | 8 replies

  • JMP 17 not using System Locale for Date Format

    Jmp version: JMP 17.2.0I have set in Windows Specific settings for JMP to use the system locale (checked and defintely UK). Restarting software or PC does not result in that locale choice being respected when date-formatted data is imported from Excel. The data is formatted in Excel as custom:dd/mm/yyyy hh:mm, but upon importing it defaults to m/d/y. If I change the format in excel to be even more...

    WebChainJackal2 WebChainJackal2
    Discussions |
    Nov 19, 2024 4:39 AM
    6066 views | 6 replies

  • Limit the number of factors per run in a DOE design

    Hi,  I'm screening 16 categorical factors (16 different genes that I'm activating), but the total amount of DNA I can deliver is limited, so the more genes I try to activate the weaker the activation is. Anything over 8 genes per run will be hard to interpret because of this dilutive effect. Is there a way to limit the number of factors in any one run to 8 targets, but still get info main effects ...

    Caspernam Caspernam
    Discussions |
    Nov 15, 2024 7:40 PM
    1758 views | 5 replies

  • Forcing center points to be equally distributed across blocks custom design

    Operationally, it may be desirable to ensure a run at control condition ("center point") within each block of a DOE. How can I specify this when using the Custom Design platform? Example (JMP Pro 17.2.0):DOE( Custom Design, {Add Response( Maximize, "Y", ., ., . ), Add Factor( Blocking, 4, "X1" ), Add Factor( Continuous, -1, 1, "X2", 0 ), Add Factor( Continuous, -1, 1, "X3", 0 ), Set Random See...

    Mittman Mittman
    Discussions |
    Nov 14, 2024 3:06 AM
    2981 views | 7 replies

  • HOW to fit two model with different terms at the same time

    i am dealing with a full-factorial design with two response variables and four independent variables，i want to fit two model with different terms at the same time but i dont find a way to realize it.the reason i want to do it is that the resulting contour plot have two response variable so that i can find design space that meet two srandard simultaneously. i also tried some other methods to constr...

    ZHANDOUJI ZHANDOUJI
    Discussions |
    Nov 13, 2024 1:30 AM
    4229 views | 11 replies

Latest Discussions

  • Limit the number of factors per run in a DOE design

    Hi,  I'm screening 16 categorical factors (16 different genes that I'm activating), but the total amount of DNA I can deliver is limited, so the more genes I try to activate the weaker the activation is. Anything over 8 genes per run will be hard to interpret because of this dilutive effect. Is there a way to limit the number of factors in any one run to 8 targets, but still get info main effects ...

    Caspernam Caspernam
    Discussions |
    Nov 15, 2024 7:40 PM
    1758 views | 5 replies

  • How to create a "revolving" x-axis in JMP?

    Curious if there's even a way to do this in JMP.... I need to modify my x-axis to where I start off with an arbitrary number (ex. -77), increases to say, -111 in the middle of the axis, then returns back to -77. The problem I'm having is that my data includes multiple configurations and occasionally, within one configuration data set, I'll have the same x-value even though it's two separate data p...

    SelectionEagle6 SelectionEagle6
    Discussions |
    Nov 5, 2024 1:47 PM
    1788 views | 2 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

  • 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
    2509 views | 7 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
    917 views | 0 replies
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