What my factors are divided for?
Hello,I'm new in the world of DoE. I noticed that all my factors are divided by 0.23 but I really can't understand what that number means.Can someone help me? Thank you
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view all learning resourcesHello,I'm new in the world of DoE. I noticed that all my factors are divided by 0.23 but I really can't understand what that number means.Can someone help me? Thank you
Hi, I have to set-up a DOE (Response Surface) where I have a machine as blocking factor. Since it is very time consuming to change the temperature of the machine, I want to have the run order of the DOE with temperature going from low to high. Right now, when I design the DOE, JMP gives me high, low and then intermediate.
Well, above is the 415page of Pharmaceutical Quality by Desing Using JMP.
In above 90% at the last line is the Spec limit (LSL).I am confusing the 1.3 looks like ensuring 90% Confidence. (1.282)Can someone say that using 1.3 and this is 80% confidence? I am sorry for the confusing question and many, but please help me.
Hi, I'm working on a dataset where we are testing the effects of 2 treatments and the delay between them, and I'm trying to figure out how to line up my variables so I can do a Dunnett's test against various controls. We are giving animals a dose of drug A (Variable A), waiting some time (T), and then giving them a dose of drug B . If the animal is NOT given drug A (= 0), then T doesn't have a m...
Hi JMP community! I have conducted a DoE with 4 continuous variables and a 1, 3-level categorical variable with first and second order interactions. The model is a good fit (from ANOVA and lack of fit metrics) but I was hoping to determine areas of greater predictive uncertainty in relation to the output across the design space. I was therefore wondering how I can find/plot a G-optimality map (i.e...
Hi, I'm working on a dataset where we are testing the effects of 2 treatments and the delay between them, and I'm trying to figure out how to line up my variables so I can do a Dunnett's test against various controls. We are giving animals a dose of drug A (Variable A), waiting some time (T), and then giving them a dose of drug B . If the animal is NOT given drug A (= 0), then T doesn't have a m...
Hello,Is there a statistical shortcut in JMP to calculating Z-prime (Z') or SSMD (strictly standardized mean difference)? I'm searched around but I keep getting sent to trainings on Z-score.JB4
Hello,A general question regarding an application of DOE. I have a dataset with 30 independent features. The response is yield. Of course the data is rather noisy and when I run Random Forest (RF), I get at best R^2 of 70% on the validation data. To conduct an actual DOE is not possible at all due to logistics of it. However, let's say I take the RF model as my data generating process. I then desi...
I used prediction profiler to find parameters to maximize desirability, then simulated to table. Then I was taught in a JMP class to "use TLC drop down toolbar, click Edge of Failure script". I think it might be from an add-on, but I don't know how to get there again. This I was taught to use to narrow Factors until I get below a certain OOS failure rate. It's a nice feature and visual graph, but ...
Hi, Question: Is there a way, to add runs to a DOE (Augment Design), which adds a focused range of a factor. This way you can evaluate a wider range, and also focus on the expected optimal range based on prior knowledge. Ex. 25 runs with a factor(A) of 0-100 + 5 runs with factor(A) of 0-30 Background:I have created a definitive screening design which ranges my factors very wide. I have prior knowl...
Hi, I'm working on a dataset where we are testing the effects of 2 treatments and the delay between them, and I'm trying to figure out how to line up my variables so I can do a Dunnett's test against various controls. We are giving animals a dose of drug A (Variable A), waiting some time (T), and then giving them a dose of drug B . If the animal is NOT given drug A (= 0), then T doesn't have a m...
Hi, I designed a DOE that has two independent buffers. This DOE will range components in each buffer which will be used in a processing step sequentially. IE, buffer A, followed by buffer B. We already prepared for the DOE, and formulated the A buffers as per the recommended design. For the B buffers, we intended on ranging 2 components but later decided to reduce to ranging one component, and als...
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...
When designing dsd with 49 factors and 4 additional runs. Why do I get 109 runs and not 105 runs?
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 ...
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