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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

Discussions |
Jul 22, 2023 7:29 AM

669 views | 0 replies
DOE Augment design - Suggested runs change every time and have non-Integer numbers

Hello, I have done a half-factorial screening with 4 factors, and now would like to augment the design to include the rest of the missing 2-way interactions and axial points to check for quadratics. When I use the DOE -> Augment Design ->Augment-> RSM and 2nd interactions, the number of suggested runs is always 18 (10 previous runs and 8 new runs as the augmented design) , however, the actual run...
CentroidFilter7

Discussions |
Jul 20, 2023 7:10 AM

2446 views | 5 replies
Show more than 6 decimal places in prediction profiler

Hello JMP Community, I have Box-Cox transformed data and have a prediction profiler at the end of my fit model dialog.To use the output (yellow box) for further calculations outside of jmp, I need 11-12 decimal places, but don't know how I get jmp to show them. I already changed the format of my data to 12 fixed decimal places, but the predicted value did not adjust.When I reduce the format to e.g...
CoxPanther919

Discussions |
Jul 17, 2023 10:40 AM

1370 views | 1 replies
"Actual by Predicted plot" - How confidence intervals are really calculated ?

Hello Community, My Question:I have a question concerning how I can access the confidence intervals of the Actual by predicted graph below: I attach the jmp file if you want to try yourselves. Now I am gonna tell you what I have tried up to know: What I have tried:I have save the columns “mean confidence limit formula as shown below: However, when I try to reproduce the “Actual by Predicted plot...
Julianveda

Discussions |
Jul 17, 2023 12:23 AM

2524 views | 3 replies
Significant values in parameter estimates

Hi all,I have made a custom DOE and have been analysing my data first step-wise to identify important effects then standard least square to find significant effects. I could see the following significant effects:I then checked the Lack of fit, which was also okI then looked further down through the parameter estimates and saw a lot of red values for the parameter estimates. What does this mean for...
hradzey

Discussions |
Jul 14, 2023 9:19 AM

3759 views | 7 replies

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Latest Discussions

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

Discussions |
Jul 22, 2023 7:29 AM

669 views | 0 replies
"Actual by Predicted plot" - How confidence intervals are really calculated ?

Hello Community, My Question:I have a question concerning how I can access the confidence intervals of the Actual by predicted graph below: I attach the jmp file if you want to try yourselves. Now I am gonna tell you what I have tried up to know: What I have tried:I have save the columns “mean confidence limit formula as shown below: However, when I try to reproduce the “Actual by Predicted plot...
Julianveda

Discussions |
Jul 17, 2023 12:23 AM

2524 views | 3 replies
Significant values in parameter estimates

Hi all,I have made a custom DOE and have been analysing my data first step-wise to identify important effects then standard least square to find significant effects. I could see the following significant effects:I then checked the Lack of fit, which was also okI then looked further down through the parameter estimates and saw a lot of red values for the parameter estimates. What does this mean for...
hradzey

Discussions |
Jul 14, 2023 9:19 AM

3759 views | 7 replies
Definitive screening designs - correlated vs. confounded second-order effects

One line I've seen mentioned regarding DSDs is that for any 6-factor experiment, the full response surface can be fitted within 3 factors. However, one of the tradeoffs of DSDs is that two-factor interactions are correlated with other two-factor interactions and quadratic terms, despite none of them being confounded. If I'm understanding this correctly, this at least allows us to estimate the two-...
QW

Discussions |
Jul 13, 2023 7:49 AM

2851 views | 7 replies
How to design an experiment to compare multiple suppliers with different input ranges?

Hi!Suppose I want to test a product yield from different suppliers. I want to test how temperature (TMP) and rotating speed (SPD) affect yield (YLD) in suppliers (SPL) A and B. However, supplier A had different rotating speed setup than supplier B. Initially we propose a RSM DoE with input variables TMP, SPD and SPL, with SPD as percentage of their full capacity, let's say varying from 40% to 100%...
PValueEnemy

Discussions |
Jul 12, 2023 7:37 AM

1115 views | 2 replies

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Latest Discussions

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

Discussions |
Jul 22, 2023 7:29 AM

669 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

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

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

Discussions |
Dec 14, 2022 12:54 PM

1092 views | 0 replies
DoE with two-choice experiments, continuous response variable

We want to rank the preference of population of animals for n different recipes. Recipes are tested in two-choice assays, where groups of over 100 individuals can choose one choice or the other. Preference for the group is computed as a preference index, a continuous variable that is between -1 and 1. Is there an experimental design that would help reduce the number of combinations to test in ord...
Alexa_Guigue

Discussions |
Nov 19, 2021 7:06 AM

862 views | 0 replies