JMP User Community

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add in manager

Hi all, I have updated my windows from 10 to 11, and now i can't find the add in manager on jmp version167.2
Could someone help me ? where can i fins the add in manager ?
ConvergentWhale

Discussions |
Jul 18, 2025 2:24 AM

357 views | 1 replies
Confidence intervals on profiler using expanded formula

I used the Fit Curve platform to fit Gaussian curves to some viscosity vs salt% data obtained for a range of different formulations. I saved the parameter estimates for Peak Value, Critical Point and Growth Rate to my data table. Following this, I used linear regression to predict the three Gaussian peak parameters using formulation composition as predictors. I saved the prediction formulae and SE...
CentroidError56

Discussions |
Jul 11, 2025 1:25 AM

677 views | 5 replies
How does JMP do BoxCox transformations?

I have recently been converting JMP formulas into Excel using the python code option. I have been unable to actually transfer any formula (MLR) involving a BoxCox transformation. It have manually done the calculations following the formula and have gone numbers in the multimillions instead of 100 thousands where it should be. If someone knows if the formula is already converted back or If I need t...
DWS

Discussions |
Jul 3, 2025 1:37 AM

4647 views | 23 replies
Predictor screening always showing up as 0 contribution?

All variables all showing up as 0 contribution. Whether in put 6 or 20 columns into the X variable selection, it always comes out as 0. I’m using a data point for everyday for the past ~5 years. Is there a specific reason why this is happening?
ExpectedHyena69

Discussions |
Jul 2, 2025 4:37 PM

586 views | 2 replies
How to deal with data prediction with non-linear model?

Hi team,
Currently, I would like to perform prediction from X to Y where X and Y are non linear to each other
From image below, value in Y > 100 or X >550 consider as bad in reality. However, I do not know whether data outside the contour or lay on areas with question marks are consider as bad or good. I would like to ask some question:
1. Is there anyway to make prediction with data points laid on ...
PhamBao

Discussions |
Jun 24, 2025 8:24 AM

1418 views | 5 replies

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Latest Discussions

Confidence intervals on profiler using expanded formula

I used the Fit Curve platform to fit Gaussian curves to some viscosity vs salt% data obtained for a range of different formulations. I saved the parameter estimates for Peak Value, Critical Point and Growth Rate to my data table. Following this, I used linear regression to predict the three Gaussian peak parameters using formulation composition as predictors. I saved the prediction formulae and SE...
CentroidError56

Discussions |
Jul 11, 2025 1:25 AM

677 views | 5 replies
How does JMP do BoxCox transformations?

I have recently been converting JMP formulas into Excel using the python code option. I have been unable to actually transfer any formula (MLR) involving a BoxCox transformation. It have manually done the calculations following the formula and have gone numbers in the multimillions instead of 100 thousands where it should be. If someone knows if the formula is already converted back or If I need t...
DWS

Discussions |
Jul 3, 2025 1:37 AM

4647 views | 23 replies
Predictor screening always showing up as 0 contribution?

All variables all showing up as 0 contribution. Whether in put 6 or 20 columns into the X variable selection, it always comes out as 0. I’m using a data point for everyday for the past ~5 years. Is there a specific reason why this is happening?
ExpectedHyena69

Discussions |
Jul 2, 2025 4:37 PM

586 views | 2 replies
How to deal with data prediction with non-linear model?

Hi team,
Currently, I would like to perform prediction from X to Y where X and Y are non linear to each other
From image below, value in Y > 100 or X >550 consider as bad in reality. However, I do not know whether data outside the contour or lay on areas with question marks are consider as bad or good. I would like to ask some question:
1. Is there anyway to make prediction with data points laid on ...
PhamBao

Discussions |
Jun 24, 2025 8:24 AM

1418 views | 5 replies
Advice on Boosted Tree Model and How to Export to Excel

Hello, I am working on a model for my work where the goal is they would be able to input parameters and then have a predicted final moisture at the end. I have a large amount of data to work with (about 4000 data points) so I was looking at using the boosted tree model. I have never used this function before and it auto filled to have 200 layers, 12 splits per tree, and learning rate of 0.121. I...
andrewdy04

Discussions |
Jun 10, 2025 1:15 AM

687 views | 2 replies

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Latest Discussions

Sample size for Reliability Life Test

I have used the interval explorer for parametric reliability life test planning for sample size calculation of accelerated life test. Please can someone confirm if the sample size returned is the total sample size or sample size per stress levels? Assuming I have 3 temperature levels, do I use 75 samples per temperature level or 25?
EngrAkin

Discussions |
Dec 11, 2024 7:11 AM

687 views | 0 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

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

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

Discussions |
Sep 4, 2024 1:57 AM

1037 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

Discussions |
Jul 2, 2024 5:42 AM

645 views | 0 replies