cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • New to JMP? Join us Sept. 23-24 for the Early User Edition of Discovery Summit, tailor-made for new users. Register now for free!
  • Use World Cup data to build models, explore spatial relationships, and create informative visualizations in JMP. Register. July 17, 2 pm US Eastern Time.
  • Your voice matters! Tell us how you prefer to receive JMP updates, so we can tailor our communication to your needs. Take short survey.

Discussions

Solve problems, and share tips and tricks with other JMP users.
Choose Language Hide Translation Bar
Principles77
Level I

Random decimals incorporated in mixture screening design

Hi :) 

 

I wonder why JMP introduces the four highlighted numbers (yellow) in the design (0.025064, 0.024936, 0.025089 and 0.024911)? Why are these four values not 0.025?

1 ACCEPTED SOLUTION

Accepted Solutions
Victor_G
Super User

Re: Random decimals incorporated in mixture screening design

Hi @Principles77,

 

Welcome in the Community !

 

The Custom design platform uses the Coordinate-Exchange Algorithm to create designs based on random points, and then move the coordinates of these random points to improve the design based on defined optimality criterion and converge to a specific design. 

LinkedIn post on this topic : https://www.linkedin.com/feed/update/urn:li:activity:7163071856332234752/

 

The "stange" and very precise values you see are a result of this algorithm computation.
When you make your datatable, you can always change the format of the column and limit the number of decimals (double-click on the factors column, click on Format and set the "Fixed Dec" to the number of decimals you want) :

Victor_G_0-1708073408328.png

 

Hope this response answers your question,

 

Victor GUILLER

"It is not unusual for a well-designed experiment to analyze itself" (Box, Hunter and Hunter)

View solution in original post

1 REPLY 1
Victor_G
Super User

Re: Random decimals incorporated in mixture screening design

Hi @Principles77,

 

Welcome in the Community !

 

The Custom design platform uses the Coordinate-Exchange Algorithm to create designs based on random points, and then move the coordinates of these random points to improve the design based on defined optimality criterion and converge to a specific design. 

LinkedIn post on this topic : https://www.linkedin.com/feed/update/urn:li:activity:7163071856332234752/

 

The "stange" and very precise values you see are a result of this algorithm computation.
When you make your datatable, you can always change the format of the column and limit the number of decimals (double-click on the factors column, click on Format and set the "Fixed Dec" to the number of decimals you want) :

Victor_G_0-1708073408328.png

 

Hope this response answers your question,

 

Victor GUILLER

"It is not unusual for a well-designed experiment to analyze itself" (Box, Hunter and Hunter)

Recommended Articles