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Latest Discussions

  • How do i sum up number of consecutive values within the same column?

    Hi, I was able to identify consecutive values on a column "Data" (Refer to " sequence roll" column). However i need to generate a column (refer to Expected Result column) to sum up the number of consecutive values.Any help or advice will be appreciate. Thank you  " sequence roll" columnIf( :Item == Lag( :Item, 1 ),
    If( Dif( :Data, 1 ) == 1,
    Dif( :Data, 1 ), .
    ), .
    )

    yew1992 yew1992
    Discussions |
    Nov 14, 2024 1:11 AM
    1762 views | 5 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

  • One- Versus-Rest (OVR) and One-Versus-One (OVO) Linear Discriminant Anlaysis (LDA)

    Hello, I'm looking for a way to test a different LDA strategy than the standard One-off (or hand-out) method when trying to predict a categorical repsonse with multiple classes. I'm particullarilly interested in the One-Versus-Rest (OVR)  (also referred to as One-Versus-All or OVA)  and the One-Versus-One (OVO) startegies. Thanks in advance!

    Quentin26 Quentin26
    Discussions |
    Oct 18, 2024 4:11 AM
    862 views | 1 replies

  • PLS-DA

    Hi I'm using JMP pro. I have a set of variables that I would like to use to predict 2 groups (i.e. grp A and grp B). Some variables are highly correlated, hence my interest in trying PLS-DA. I can run the model and see some nice plots that make sense e.g. coefficient plots identify variables with high values that match what I would anticipate from domain knowledge.I would like to get out the predi...

    JJPA JJPA
    Discussions |
    Oct 8, 2024 1:31 PM
    1348 views | 2 replies

  • Parametric Bootstrapping using the Negative Log Likelihood function

    Hello, I fit the negative log-likelihood function for a Poisson distribution (green highlighted column in the attached .jmp file) to my observed data and get the mean estimates for 10 unknown parameters (screenshot below).   My problem is bootstrapping these 10 parameters using the parametric method. The one-button "bootstrap" function in jmp (after right-click on the column "Estimate") gives me 1...

    tMinnx tMinnx
    Discussions |
    Oct 7, 2024 2:18 AM
    1101 views | 1 replies

Latest Discussions

  • 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

  • One- Versus-Rest (OVR) and One-Versus-One (OVO) Linear Discriminant Anlaysis (LDA)

    Hello, I'm looking for a way to test a different LDA strategy than the standard One-off (or hand-out) method when trying to predict a categorical repsonse with multiple classes. I'm particullarilly interested in the One-Versus-Rest (OVR)  (also referred to as One-Versus-All or OVA)  and the One-Versus-One (OVO) startegies. Thanks in advance!

    Quentin26 Quentin26
    Discussions |
    Oct 18, 2024 4:11 AM
    862 views | 1 replies

  • Parametric Bootstrapping using the Negative Log Likelihood function

    Hello, I fit the negative log-likelihood function for a Poisson distribution (green highlighted column in the attached .jmp file) to my observed data and get the mean estimates for 10 unknown parameters (screenshot below).   My problem is bootstrapping these 10 parameters using the parametric method. The one-button "bootstrap" function in jmp (after right-click on the column "Estimate") gives me 1...

    tMinnx tMinnx
    Discussions |
    Oct 7, 2024 2:18 AM
    1101 views | 1 replies

  • Forest plot add in bug?

    Hi everyone, I'm attempting to create a forest plot figure based on multiple logistic regression models. I have 9 independent variables and four IQ outcomes, VCI, POI, PSI and Full IQ. Each outcome has three thresholds <70 vs >=90, 70-79 vs >=90 and 80-89 vs >=90.All was fine but I detected some bugs when drawing the lines in the plot. For example, in females for Perceptual organization index (POI...

    emm84 emm84
    Discussions |
    Oct 4, 2024 10:41 AM
    2454 views | 2 replies

  • Could JMP show in a single graph a sensitivity analysis and the probability of occurrence of a result?

    Hello Community!Attached is the script "Hogi chart calculates risk and probability", an excellent work by HOGI ... which calculates the risks and probabilities of occurrence of an input or multiple inputs (x), of an output or multiple outputs (Y) or their combination in a table. For example:Would it be possible to expand the capacity of the script to make a sensitivity analysis of the inputs (x) o...

    Marco2024 Marco2024
    Discussions |
    Oct 2, 2024 5:15 PM
    705 views | 0 replies

Latest Discussions

  • Could JMP show in a single graph a sensitivity analysis and the probability of occurrence of a result?

    Hello Community!Attached is the script "Hogi chart calculates risk and probability", an excellent work by HOGI ... which calculates the risks and probabilities of occurrence of an input or multiple inputs (x), of an output or multiple outputs (Y) or their combination in a table. For example:Would it be possible to expand the capacity of the script to make a sensitivity analysis of the inputs (x) o...

    Marco2024 Marco2024
    Discussions |
    Oct 2, 2024 5:15 PM
    705 views | 0 replies

  • Multinomial Logistic Regression Confidence for Specific Parameter Changes

    Hi,  I have a multinomial logistic regression of 3 classes: 0, 1, and 2 and have associated individual models (via Fit Y by X) for N parameters. I am now looking into a sensitivity like study in which each parameter is assumed at certain levels (e.g. at min, max etc..). I have probabilities computed at each such parameter level. I like to rank order probability change in each class (0, 1 and 2) du...

    altug_bayram altug_bayram
    Discussions |
    Sep 5, 2024 9:02 AM
    805 views | 0 replies

  • Building and validating zero-inflated negative binomial regression models

    Dear JMP community,I am presented with a problem of building a model using over-dispersed zero-inflated count data. I hope you can help me with this.I have attached both training and validation datasets to this post. My objective is to build my model on the training dataset and validate it using the validation dataset. I have not worked with such count data before and therefore do not know validat...

    stat_ranger stat_ranger
    Discussions |
    Sep 4, 2024 1:57 AM
    1038 views | 0 replies

  • Hyperparameters and neural network architecture

    Hello,I'm trying to reproduce the results obtained on JMP with the "Neural" model by adding nested cross-validation, which is not possible on the software. However, the architecture is very unclear and I can't understand the calculations performed by the model. I don't have access to certain information such as batch size, optimizer used, loss, learning rate (except the one for the boosting), and ...

    Grizzly Grizzly
    Discussions |
    Jul 2, 2024 5:42 AM
    645 views | 0 replies

  • hybrid models

    Why doesn't a large and powerful program like JMPPRO contain hybrid models in time series such as the ARIMA-ANN model, ARMAX model, and others?

    Raaed Raaed
    Discussions |
    May 31, 2024 9:43 AM
    786 views | 0 replies
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