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Latest Discussions

• Custom design factor constraints

  bonjour, Je réalise un DOE contenant 2 réponses (A et B) et 2 facteurs (C et D). Les deux facteurs sont des concentrations disons de 5 à 9 pour C et de 10 à 25 pour D. Je souhaite réaliser un plan avec comme contraintes sur les facteurs, le fait que le rapport D/C doit être égal ou supérieur à 4. Comment dois-je réaliser cela. De plus, quelles types de facteurs dois-je encodé ? continu ou discret ...

  SeanCor

  Discussions |

  Apr 25, 2024 1:06 AM

  1565 views | 3 replies

• DoE and inputting replicate analytics

  Hi, I have performed a DoE as designed, but would like to know how to evaluate replicate analytical data which feeds into the response for each condition. We usually use analytical data provided by our analytical department, but are investigating a rapid analysis tool for future applications. While this tool is helpful, it appears most accurate when performing replicate analysis, and then averagin...

  MetaLizard62080

  Discussions |

  Apr 24, 2024 8:58 AM

  3294 views | 6 replies

• How to add a random effect in the multiple linear regression model of Plackett-Burman DOE?

  Hi community, I have conducted a Plackett-Burman DOE for 9 continuous factors measuring 3 different responses (viability, proliferation, gene expression). For one of the responses (gene expression), I actually measure the response three times for each treatment - so these are not independent replicates. I would like to add a random effect in the model that JMP fits for this response. How can I do ...

  SaraA

  Discussions |

  Apr 16, 2024 7:11 AM

  6993 views | 12 replies

• What to do with contained effects

  I am running a 2x2 full factorial study and only looking to model main effects and one-way interactions. As shown below, I have a main effect that appears as less significant than the one-way interaction that contains it. I know the interaction factor is also itself insignificant, but in the past I've seen it as significant. In the past i've just removed the insignificant interaction factor before...

  sanch1

  Discussions |

  Apr 15, 2024 8:21 AM

  2862 views | 6 replies

• Very High R square and significant lack of fit problem

  Hi,I made custom design for 7 factors with a model containing main effects, interractions and 2 order powers. Number of sample size is 150. I see that 3 of factors are important and made model for these 3 variables.However i faced with significant lack of fit problem and 0.99 R^2 value.I searched a lot about the reasons of this situation but i could not find a clear answer.Do you have an idea abou...

  Ella

  Discussions |

  Apr 15, 2024 7:14 AM

  16767 views | 11 replies