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Space-filling design augmentation

Hello, I have just created a design of experiments using space-filling design (5 factors for 30 requested experiments – 50 experiments recommended) and I would like to augment this design. However, when I try to augment the design, I cannot select the space-filling option because the box is greyed out. Do you know how to enable this option? Thank you very much for your help.
SquaresJackal10

Discussions |
Oct 24, 2025 2:57 AM

651 views | 3 replies
In a customized design, if block factors are included in the factors and RSM (Response Surface Methodology) is incorporated into the model, how is the minimum number of experiments calculated?
CompositeCamel5

Discussions |
Oct 22, 2025 4:21 AM

3160 views | 13 replies
In an augmented design, if the original experiment includes block factors, when conducting an augmented design for the original experiment, it is found that the number of experimental runs recommended for the augmented design (after adding model terms) is not simply the sum of the number of runs in

In an augmented design, if the original experiment includes block factors, when conducting an augmented design for the original experiment, it is found that the number of experimental runs recommended for the augmented design (after adding model terms) is not simply the sum of the number of runs in the original experiment and the number of newly added model terms. How should the number of recommen...
CompositeCamel5

Discussions |
Oct 22, 2025 4:12 AM

742 views | 8 replies
24-deep well plates with hard to change factors

Hi, I am setting up an experiment using 24-deep well plates, with 5 factors, among which 2 are temperature and time. These are hard to change factors, since the deep-well plate has to go to the freezer or to the heater for certain amount of time, while other 3 parameters can vary between deep wells across the plate. I was just wondering if setting up a DoE using hard-to-change factors and ending u...
aatw

Discussions |
Oct 21, 2025 12:12 AM

242 views | 1 replies
Why is the power of quadratic factors in DoE that low

I have created several experimental designs, including ones with quadratic effects. I’ve noticed that the power of these quadratic effects is always relatively low. Why is that the case? What can be done about it? Regards Klaus
NominalGemsbok3

Discussions |
Oct 19, 2025 11:49 PM

592 views | 2 replies

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Latest Discussions

In an augmented design, if the original experiment includes block factors, when conducting an augmented design for the original experiment, it is found that the number of experimental runs recommended for the augmented design (after adding model terms) is not simply the sum of the number of runs in

In an augmented design, if the original experiment includes block factors, when conducting an augmented design for the original experiment, it is found that the number of experimental runs recommended for the augmented design (after adding model terms) is not simply the sum of the number of runs in the original experiment and the number of newly added model terms. How should the number of recommen...
CompositeCamel5

Discussions |
Oct 22, 2025 4:12 AM

742 views | 8 replies
24-deep well plates with hard to change factors

Hi, I am setting up an experiment using 24-deep well plates, with 5 factors, among which 2 are temperature and time. These are hard to change factors, since the deep-well plate has to go to the freezer or to the heater for certain amount of time, while other 3 parameters can vary between deep wells across the plate. I was just wondering if setting up a DoE using hard-to-change factors and ending u...
aatw

Discussions |
Oct 21, 2025 12:12 AM

242 views | 1 replies
Why is the power of quadratic factors in DoE that low

I have created several experimental designs, including ones with quadratic effects. I’ve noticed that the power of these quadratic effects is always relatively low. Why is that the case? What can be done about it? Regards Klaus
NominalGemsbok3

Discussions |
Oct 19, 2025 11:49 PM

592 views | 2 replies
What are the best practices for exporting JMP graphs so they retain high resolution ?

Hi Mates, My name is Dheeraj Hinduja . I basically lives in Sudan. I want to know the best practices for exporting JMP graphs for high-resolution use (e.g., in publications or large presentations).Which export format (e.g., EMF, PNG, or PDF) and specific settings within the 'Save As' dialogue or Journal maintain the highest quality and prevent resolution loss? Please share your workflow tips!

Regar...
SpendingLemur24

Discussions |
Oct 17, 2025 2:27 AM

469 views | 2 replies
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hogi

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Oct 14, 2025 9:16 AM

5065 views | 14 replies

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Calculating Z‐value and Effect Size (r) for a Paired Wilcoxon Signed‐Rank Test

We performed a paired Wilcoxon signed-rank test to compare pre- and post-intervention values. Is there a method or add-in available to calculate the r and Z values?
Tos

Discussions |
Jun 30, 2025 6:50 AM

386 views | 0 replies
Remove Crosshair in Profiler

Hello everyone, I am looking for a solution to remove the crosshair in the Prediction Profiler. Any kind of hack would be helpful, like e.g. changing the transparancy.
AnjaW

Discussions |
Jun 18, 2025 5:15 AM

456 views | 0 replies
Streamlining Data Workflows With JMP & MATLAB

Integrating tools like JMP and MATLAB offers a streamlined approach to engineering analysis, making workflows more efficient and reducing the need for redundant script rewriting. By leveraging JMP’s powerful data analysis and visualization capabilities alongside MATLAB’s robust computational tools, engineers can seamlessly combine the strengths of both platforms. This integration allows for the ra...
brycerjs8

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Feb 18, 2025 7:07 AM

577 views | 0 replies
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
help to get R squared predicted

Hello!I installed a script from a community response regarding the calculation of R²pred, as shown in the image below (I'm using JMP 18 pro): (link da resposta do @erich_gundlach https://community.jmp.com/t5/JMP-Add-Ins/Predicted-R-square-calculator/ta-p/39927) In PRESS, R²pred didn't appear. (Press is low because I haven't reduced the model yet, don't worry =)) I really need to show these R²pre...
ivanpicchi

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Dec 4, 2024 10:21 AM

661 views | 0 replies

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Learning Resources

Latest Discussions

Space-filling design augmentation

In a customized design, if block factors are included in the factors and RSM (Response Surface Methodology) is incorporated into the model, how is the minimum number of experiments calculated?

In an augmented design, if the original experiment includes block factors, when conducting an augmented design for the original experiment, it is found that the number of experimental runs recommended for the augmented design (after adding model terms) is not simply the sum of the number of runs in

24-deep well plates with hard to change factors

Why is the power of quadratic factors in DoE that low

Latest Discussions

In an augmented design, if the original experiment includes block factors, when conducting an augmented design for the original experiment, it is found that the number of experimental runs recommended for the augmented design (after adding model terms) is not simply the sum of the number of runs in

24-deep well plates with hard to change factors

Why is the power of quadratic factors in DoE that low

What are the best practices for exporting JMP graphs so they retain high resolution ?

Topic Containers

Latest Discussions

Calculating Z‐value and Effect Size (r) for a Paired Wilcoxon Signed‐Rank Test

Remove Crosshair in Profiler

Streamlining Data Workflows With JMP & MATLAB

Sample size for Reliability Life Test

help to get R squared predicted

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