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Latest Discussions

• Mixture DOE Constraints

  I am a new user for JMP, I am trying to create a design of experiment for a mixture. I have four factors in my experiment : resin, plasticizer, Modifier A, Modifier B. I do not want Modifier A to be in the same batch with Modifier B. I want Modifier A or Modifier B not both. How do I create a constraint to disallow these two ingredients to be together in the same run?

  Alpaca0920

  Discussions |

  Jun 23, 2022 5:37 AM

  2267 views | 5 replies

• How DoE model evaluation impact final model after experiment?

  Hi Folks, I have several questions about DoE, could you please answer them? Thank you so much. 1) Due to experiment constraint, can I manually adjust center point value for example (-1)= 10, (+1)= 12, (0) = 11. But (0) = 11 is not a good center point, can I change to 10.5 in the design? How this change will impact the data analysis and final model as well as model prediction? what if I used (0)= 1...

  lazzybug

  Discussions |

  Jun 22, 2022 7:14 AM

  2299 views | 4 replies

• Unexpected Events from Local Data Filter Change Handler

  Below is some illustrative code that displays a graph with a local data filter.   namesDefaultToHere(1); dt = open("$SAMPLE_DATA/Big Class.jmp"); graphContent = VListBox( dt << Bivariate( Y(:weight), X(:height) ) ); NewWindow("Test", Data Filter Context Box( BorderBox(top(20),bottom(20),left(20),right(20), HListBox( // local data filter ::df = dt << Data Filter( loca...

  David_Burnham

  Discussions |

  Jun 21, 2022 5:20 AM

  1318 views | 1 replies

• DSD for 4 continuous factors

  I have four continuous factors. I want to optimized the process that's why I clicked add blocks  with center runs to estimate quadratic effects. I click the script "Evaluate of Design" after making the table. I clicked RSM. The values of 2FI and Quadratic in Power Analysis are small. I also noticed that there is no quadratic term for my 4th factor.      

  Alainmd02

  Discussions |

  Jun 20, 2022 12:27 AM

  3425 views | 4 replies

• Default Signal to Noise in Power Calculation in JMP DOE platform

  For some reason (can't remember why - must be something I picked up a few years ago) I have always assumed in the default Power Calculation in the DOE platform (Power Analysis) with RMSE = 1 and Anticipated Coefficient 1 is calculated for a signal to noise ratio of 2 (ie the signal is defined as twice the size of the Anticipated Coefficient)Something I have recently seen on a DOE JMP webinar sugge...

  ar2

  Discussions |

  Jun 17, 2022 12:11 PM

  5493 views | 9 replies