如果试验自变量为分类变量,响应为连续变量,是否可以使用正交设计进行筛选?
如果试验自变量为分类变量,响应为连续变量,是否可以使用正交设计进行筛选?例如:氨基酸作为一个自变量,其中有20种不同的氨基酸,维生素作为一个自变量,其中有8种,筛选氨基酸和维生素的最佳组合,可否使用正交设计,谢谢!
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view all learning resources如果试验自变量为分类变量,响应为连续变量,是否可以使用正交设计进行筛选?例如:氨基酸作为一个自变量,其中有20种不同的氨基酸,维生素作为一个自变量,其中有8种,筛选氨基酸和维生素的最佳组合,可否使用正交设计,谢谢!
Trying to determine how to graph the confidence interval (upper and lower) around the prediction formula that I have exported to the data table via "Save Columns". I reduced my model, and saved the prediction formula, and the mean confidence interval to the data table. When I use graph --> Profiler and then place the prediction and lower and upper 95% mean columns, they are plotted separately as Y...
4 Y axis scale is same and the scale value can’t be showed,how to show it and adjust
Hi, I am completing a DOE and I have ran a fit model using the JMP software to define a design space based on desirability of certain variables, however one of the desirability variables is a simple ratio of two of the construct model effects, however when running the model, the model is defining its own prediction expression for this variable rather than using the formula in the data table. Does ...
Hello,I need to create a Design of Experiments (DoE) with two Boolean factors (B1 and B2) and one discrete numerical factor (X1). B1 and B2 can be either Yes or No, meaning the steps involving B1/B2 will either be performed or not. X1 can take on four values: 0, 0.25, 0.5, and 1.I have four response variables: three ordinal and one continuous numeric.Ideally, I want to obtain at least the 2nd orde...
如果试验自变量为分类变量,响应为连续变量,是否可以使用正交设计进行筛选?例如:氨基酸作为一个自变量,其中有20种不同的氨基酸,维生素作为一个自变量,其中有8种,筛选氨基酸和维生素的最佳组合,可否使用正交设计,谢谢!
Trying to determine how to graph the confidence interval (upper and lower) around the prediction formula that I have exported to the data table via "Save Columns". I reduced my model, and saved the prediction formula, and the mean confidence interval to the data table. When I use graph --> Profiler and then place the prediction and lower and upper 95% mean columns, they are plotted separately as Y...
4 Y axis scale is same and the scale value can’t be showed,how to show it and adjust
Hi, I am completing a DOE and I have ran a fit model using the JMP software to define a design space based on desirability of certain variables, however one of the desirability variables is a simple ratio of two of the construct model effects, however when running the model, the model is defining its own prediction expression for this variable rather than using the formula in the data table. Does ...
My goal with the study is to examine the effects of three factors on the yellowness of printed dogbone samples in SLS print (please refer to the attached picture for better understanding):Laser power, which can be adjusted between each dogboneHeight of the dogbone in the build chamber (potentially 7 different heights per build job)X-coordinate of the dogbone within the chamber (potentially 14 posi...
Hi, I am completing a DOE and I have ran a fit model using the JMP software to define a design space based on desirability of certain variables, however one of the desirability variables is a simple ratio of two of the construct model effects, however when running the model, the model is defining its own prediction expression for this variable rather than using the formula in the data table. Does ...
As an entry-level user of JMP but with a bit of statistical knowledge. I encountered with a problem when trying to use the stepwise fit platform to develope a regression model for my DoE dataset.
I read the JMP help book and understand how combined rule applied to p-value based stepwise regression (a joint F-test and another partial F-test of interaction effect when added precedent main effects). ...
Hi there,
I am attempting to run latin hyper cube with three continuous and one categorical factors, but the option is not available except for fast flexible filing design; can anyone assist me with this? thanks in advance
Hello, I am still new to JMP but I'm trying to determine the best way to model a non-linear system (generating DOE + model fitting). Context: Long story short, I have a large experimental space that I am trying to model (10 discrete variables + 10 continuous variables). Before I jump into my full experiment I'm working with a subset (1 discrete variable + 5 continuous variables) to make sure I'm m...
Hello! I appreciate your help in advance! I am currently trying to figure out the proper way to analyze my data! I had used the DOE feature of JMP to create this fraction factorial of 24 runs for m experiment. The goal is two screen which categories have the most effect on the success rate. I had initially use the response screening option to analyze my results, when I did that none of my values...
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