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Jul 22, 2020 6:53 AM
(670 views)

I have six factors. First four are discrete X1, X2, X3 and X4 ( three are 2 level and one is 3 level). I would like to use only one factor a time from first four ( either one from X1, X2, X3 and X4) with remaining two factors.

for example, I want to use only one kind of sugar at a time.

X1: Regular sugar, 1 or 2 grams

X2: Brown sugar, 1 or 2 grams

X3: Honey, 1 or 2 grams

X4: Sweetener, 1, 1.5 or 2 grams

Thanks

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I recommend using DOE > Custom Design for this purpose. It produces an optimal design based on your specifications.

- Select
**DOE > Custom Design** - Double-click
**Y**and enter the name of your response. - Change the
**Goal**to match the purpose of your response. - Click
**Add Factor**and select**Categorical > 4 Levels**. - Type
**Sweetener**for the name, then press Tab to enter the four choices for sweetener. - Click
**Add Factor**and select**Continuous**. - Type
**Amount**and enter**1**for Low and**2**for High. - Click
**Continue**. - Click
**Interactions**and select**2nd**if you think that the effect of changing the Amount is not the same for all choices of the sweetener. - Enter the number of runs that you want. The minimum number is equal to the number of parameters in the model. I recommend running more than the minimum. I will use 16 but the actual number depends on several aspects of your situation.
- Click
**Make Design**. - Click
**Make Table**when the design is ready.

Please see **Help > JMP Documentation Library > Design of Experiments** guide for more information and examples.

Why do your want runs with Amount = 1.5?

Learn it once, use it forever!

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Re: Doe

I suggest creating one categorical factor to identify the Type of sweetener (i.e., sugar, brown sugar, honey, and sweetener) and a continuous factor Amount (i.e., 1 or 2).

Learn it once, use it forever!

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Re: Doe

Thanks Mark for your quick response,

I am new to JMP, can you show me how to join categorical factors and continuous factor.

for example, sweetener to be only 1, 1.5 or 2 grams.

Thanks

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I recommend using DOE > Custom Design for this purpose. It produces an optimal design based on your specifications.

- Select
**DOE > Custom Design** - Double-click
**Y**and enter the name of your response. - Change the
**Goal**to match the purpose of your response. - Click
**Add Factor**and select**Categorical > 4 Levels**. - Type
**Sweetener**for the name, then press Tab to enter the four choices for sweetener. - Click
**Add Factor**and select**Continuous**. - Type
**Amount**and enter**1**for Low and**2**for High. - Click
**Continue**. - Click
**Interactions**and select**2nd**if you think that the effect of changing the Amount is not the same for all choices of the sweetener. - Enter the number of runs that you want. The minimum number is equal to the number of parameters in the model. I recommend running more than the minimum. I will use 16 but the actual number depends on several aspects of your situation.
- Click
**Make Design**. - Click
**Make Table**when the design is ready.

Please see **Help > JMP Documentation Library > Design of Experiments** guide for more information and examples.

Why do your want runs with Amount = 1.5?

Learn it once, use it forever!

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Re: Doe

Thanks Mark for this detailed step by step answer, that is what I was looking.

Regarding 1.5 mg only for one ingredient, this experiment is for a drug formulation and I have a doubt that this particular ingredient will not be allowed for clinical trials at higher concentrations.

Big thanks again

Regarding 1.5 mg only for one ingredient, this experiment is for a drug formulation and I have a doubt that this particular ingredient will not be allowed for clinical trials at higher concentrations.

Big thanks again

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If you want the levels for sweetener to be different than the other variables, you can nest the amounts inside sweetener. Realize when you nest the levels inside sweetener, you will give upon the ability to assess interaction effects with that variable. As @markbailey questions, why would you want to do that?

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Re: Doe

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Re: Doe

Regarding 1.5 mg only for one ingredient, this experiment is for a drug formulation and I have a doubt that this particular ingredient will not be allowed for clinical trials at higher concentrations.

Big thanks again

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Re: Doe

Created:
Jul 22, 2020 12:51 PM
| Last Modified: Jul 22, 2020 12:51 PM
(634 views)
| Posted in reply to message from Harry1 07-22-2020

This situation sounds like a 'test,' not an 'experiment.' A test sets up a condition and observes the response. You test different conditions until you obtain the result that you want. You 'pick the winner.' The best choice is always one of the conditions in the test. An experiment sets up conditions that are optimal for fitting a model. The model is used to 'predict the winner.' The best condition might not be one of the conditions in the experiment.

Which mindset are you using? Both mindsets are valid, but they are not at all the same.

Learn it once, use it forever!

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Re: Doe

I think you are correct it is a test for now.

honestly I don’t know how to use different models based on test or experiment

any comments/suggestions on it ?

thanks

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Re: Doe

A test does not require either a design or a model. Simply test the conditions of interest and select the condition that produces the best result based on your goals.

Learn it once, use it forever!