How to put the mixture sum below 1?
In the Jmp16 version there was a button in the specific mixture experiments where you could put the mixture sum below 1.In the Jmp17 version I cannot find this button. Could you please help me out with this issue?
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view all learning resourcesIn the Jmp16 version there was a button in the specific mixture experiments where you could put the mixture sum below 1.In the Jmp17 version I cannot find this button. Could you please help me out with this issue?
I generated a mixture design DOE with three ingredients and 2 responses. With the responses, I made a fit model, where I used the macro "mixture surface response" and everything else as default. I saved the formulas in a new column, and I'm trying to look at a mixture profiler to see which portion of the space gives me the desired values for both responses. But nothing appears in the window, I jus...
Hi! all, I would like to find and replace data which contain certain value range in specific column by using jmp scriptHowever, the code didn't take effect Here is my code that want to loop through the data in "mark" column and look for value that more than 1000 and substitute with 99Names Default To Here( 1 );
dt = Data Table( "studentmark" );
headerList = dt << get column names( string );
For(...
I am trying to generate an I-optimal design for a 3-factor experiment where the underlying model is assumed to be a full cubic response surface design (not a mixture experiment). Is there a way to create this design with Custom Design (or any other tool in the DOE suite)?
Hi JMP experts, we internally discussed a lot, why there are no star points in the RSM design, which the custom designer computes. What is the reason for that and is the classical design in this case better, than custom designer? Thanks for help here.
In the Jmp16 version there was a button in the specific mixture experiments where you could put the mixture sum below 1.In the Jmp17 version I cannot find this button. Could you please help me out with this issue?
I am trying to generate an I-optimal design for a 3-factor experiment where the underlying model is assumed to be a full cubic response surface design (not a mixture experiment). Is there a way to create this design with Custom Design (or any other tool in the DOE suite)?
Hello community, i have a question. How do i create all the column option in my data table to make a choice for inside in Y,response? some of my data table is different name column and i want pick one of these column in Y,response. Here example of my questioni want to make choice box option for column starting from Parameter to HWBinName and the selected column inside in Y,response.note: for Param...
Hallo,I have three factors. for each one i have 3 Levels .I want to make a Design with only 9 runs .Can you please tell me how to do this.Thank you in advance.
I am trying to fit a model to a 17-run DSD with 4 factors. I am evaluating two methods of doing so: the 'Fit Definitive Screening' platform that is recommended by JMP documentation, as well as the older forward selection method with minimum AICC as the criterion. Based on domain knowledge, I would have expected a quadratic effect for factor B which looks like a plateau, with the low level being si...
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...
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...
这是个异想天开的问题: 大家都说股票价格的未来走势预测是艺术、不是科学。
但我还是想看看JMP具体哪里模型能用于这方面。 我尝试过使用决策树、随机森林、xgboost。
还使用了DOE制作了均匀试验表来进行分类统计。
虽然这不是一个很好的问题、但还是非常期待专家们的回答。非常感谢!
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