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Latest Discussions

  • Creating a Mixture DoE

    Hi, I hope you are well. I want to perform a screening experiment to understand which materials in the formulation are impacting the response. There are a number of materials I want to study the impact of (10 in total), however, in any given formulation there are combinations of materials that we can't accept. I've expressed this below, as we only want only one from the following A, B, C, D, E, an...

    Fox_782199 Fox_782199
    Discussions |
    Oct 16, 2023 4:24 AM
    4640 views | 7 replies

  • Newb Question - Basic Sequencing in a column

    I'm a beginner in JMP and coding as a whole. I'm trying to figure out how I can make sequence of 0, 25, 50, 100, to repeat 8 times.   I tried Sequence(0,100,25,8) and obviously 75 shows up as well.    And I cannot for the life of me figure it out.    Chatgpt gave me the following code:    If(Mod(Row(), 4) == 0, 0, If(Mod(Row(), 4) == 1, 25, If(Mod(Row(), 4) == 2, 50, If(Mod(Row(), 4) =...

    ControlAlpaca51 ControlAlpaca51
    Discussions |
    Oct 8, 2023 1:06 PM
    1736 views | 3 replies

  • Significance of factors in Definitive Screening Design

    Dear JMP ommunity,

    I have conduced a 37-run Definitive Screening Design for 15 factors to find the dominating ones. I have set the p-value as 0.05 and in the documentation it says that a factor will be shown as "active" if the p-value is lower than the defined threshold (i.e., 0.05). However, in some cases, when I fit the definitive screening design, there are factors with p-value of higher than 0....

    Ahmedhadi Ahmedhadi
    Discussions |
    Oct 4, 2023 11:09 AM
    2886 views | 4 replies

  • distribution of response variable

    Hello: I ran a DOE study of 5 factors.It was a manufacturing process study and I measured the output which is the response variable.for the identification of the significant factors and later forming a regression equation do we have to have the response variable following a normal distribution? For my response variable for Normal distribution, AD is 0.886 and p-value is 0.18. Should I go ahead wit...

    VarunK VarunK
    Discussions |
    Oct 4, 2023 7:40 AM
    4919 views | 7 replies

  • How to draw heatmap to visualize main effect and quadratic effect found in definitive screening design

    Hi JMP community, I am using DSD to find the main effect as well as quadratic effect among my factors. Specifically, my responses are multiple numerical parameters, and my factor inputs include both numerical and categorial values. Now, I have run the experiments and feed into the model. Because I am interested in the effects of all these factors to my multiple responses simultaneously, I am using...

    Elsie24 Elsie24
    Discussions |
    Oct 3, 2023 10:35 AM
    8115 views | 5 replies

Latest Discussions

  • Newb Question - Basic Sequencing in a column

    I'm a beginner in JMP and coding as a whole. I'm trying to figure out how I can make sequence of 0, 25, 50, 100, to repeat 8 times.   I tried Sequence(0,100,25,8) and obviously 75 shows up as well.    And I cannot for the life of me figure it out.    Chatgpt gave me the following code:    If(Mod(Row(), 4) == 0, 0, If(Mod(Row(), 4) == 1, 25, If(Mod(Row(), 4) == 2, 50, If(Mod(Row(), 4) =...

    ControlAlpaca51 ControlAlpaca51
    Discussions |
    Oct 8, 2023 1:06 PM
    1736 views | 3 replies

  • How to draw heatmap to visualize main effect and quadratic effect found in definitive screening design

    Hi JMP community, I am using DSD to find the main effect as well as quadratic effect among my factors. Specifically, my responses are multiple numerical parameters, and my factor inputs include both numerical and categorial values. Now, I have run the experiments and feed into the model. Because I am interested in the effects of all these factors to my multiple responses simultaneously, I am using...

    Elsie24 Elsie24
    Discussions |
    Oct 3, 2023 10:35 AM
    8115 views | 5 replies

  • Does JMP label the centroid in a mixture design?

    Center points in small design spaces can often be identified in the data table by inspection.   This becomes much more difficult for mixture designs with large numbers of components (>=5), especially when linear constraints are superimposed.  When design points match classical designations (e.g., vertices, centroids, binary double blends, axial check points, etc.), does JMP have the ability to lab...

    wvknowles wvknowles
    Discussions |
    Sep 29, 2023 7:18 PM
    1174 views | 2 replies

  • Prediction profiler with nominal variables

    Hi all!I have 6 continuous variables (N0 to N5) and one nominal variable (named "recode") that I would like to analyze with the prediction profiler. The nominal variable "recode" has 4 values (1,2,3,4).When I initiate the prediction profiler, the nominal variable is "broken" into three sections (see image below).How do I interpret it? for example, how to I set the profiler to show the predicted va...

    Lavik17 Lavik17
    Discussions |
    Sep 27, 2023 12:15 AM
    2148 views | 4 replies

  • How to transform and model non-normal dataset

    Hello, I'm working with a dataset produced from a 5-variable full factorial screening with 3 center points. The raw data is heavily skewed with an exponential distribution. I've tried log, log10, square root and various box-cox transformations and can't seem to get anything even nearly approaching a normal distribution.  ConditionPatterndata11+−−+−0.592−+−−−1.63−−−+−1.784+−++−0.455+−−−−1.376−++−−0...

    sanchez_dan sanchez_dan
    Discussions |
    Sep 26, 2023 1:36 PM
    1401 views | 1 replies

Latest Discussions

  • Discrete Choice Experiment: Prohibited Combination

    Hi everyone,I would like to design my first DCE. I am going to use 6 attributes that differ in the levels from 2 to 4 levels. However, I have a limitation where there is an impossible combination that may appear; for example, the cheapest product would not be possible to have the best feature. Is there any way for me to select the prohibited combination? Or, is the D-optimal design will always cal...

    andikawp andikawp
    Discussions |
    Sep 6, 2023 7:11 AM
    838 views | 0 replies

  • 49 factor dsd design

    When designing dsd with 49 factors and 4 additional runs. Why do I get 109 runs and not 105 runs?

    ConditionalRam9 ConditionalRam9
    Discussions |
    Jul 22, 2023 7:29 AM
    668 views | 0 replies

  • Main Menu("command") - return value?

    If I open a file via open("filename"), the command returns a reference to the data table which can be used as dt = open("filename");If I trigger open viadt = Main Menu("open")it doesn't return a reference to the data table. In general, is there a way, when triggering a command from the Main Menu, to get the return value?e.g. a reference to a data table for a user defined file loader - or an error ...

    hogi hogi
    Discussions |
    Jun 7, 2023 8:42 AM
    746 views | 0 replies

  • how to read the output from Johnson-Neyman plot and floodlight analyisis?

    hi,I have got an add-in from https://community.jmp.com/t5/JMPer-Cable/Who-what-why-and-how-Tools-for-modeling-and-visualizing/bc-p/624293#M842 to implement floodlight analysis through Johnson-Neyman Plot.  according to the table of the example from the linkage above; what does "_c" mean? such as "meaning_c" and overwhelming_c"? focus on my own study, I got a moderator called "SE" which is a contin...

    Rongyu_Kuang Rongyu_Kuang
    Discussions |
    Apr 23, 2023 8:56 AM
    1383 views | 0 replies

  • Response Screening Effect Size - logistic

    Related to the previous post How to get "Effect size" column with Response Screening functionality , I am also wondering how effect size in the response screening platform is calculated, specifically for categorical Y vs continuous X.  JMP help shows:  "When Y is categorical and X is continuous, the effect size is the square root of the average ChiSquare value for the whole model test."  Running b...

    wgardnerQS wgardnerQS
    Discussions |
    Dec 14, 2022 12:54 PM
    1091 views | 0 replies
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