Welcome to the JMP User Community!

Latest Discussions

• How do I reverse the order of contrasts in the Stepwise platform?

  I have a variety of categorical factors that I am trying to fit in the Stepwise platform. For example, "Does the product have a FRAME, LINER, BAFFLE, INSULATION, etc.?"  These are listed in the stepwise menu as Frame{Y-N}, Liner (Y-N), Baffle{N-Y}, Insulation{N-Y}, etc.  Why are some contrasts listed as {Y-N} and others listed as {N-Y}?  This is really slows my analysis down as I build a model bec...

  Newbie_1

  Discussions |

  Dec 28, 2022 3:00 PM

  1976 views | 4 replies

• About ANOM for variances

  Hi, I'm now studying the ANOM for variances. I don't understand why it needs at least three groups to start the comparison. Does anyone know the reason behind this?  Thank you!

  GabrielZ

  Discussions |

  Dec 28, 2022 11:28 AM

  1334 views | 1 replies

• Discrete Choice Experiment: None of these options

  Dear community,  Just a quick question considering the formatting of the "No choice" option in JMP 17. If we have Option A, Option B, and Option C, where Option C = none of these options. Do we give three rows of data to JMP? Or would we give two rows of data in binary format, and when both option A = 0 and Option B =0, it will use this information that no option was selected?  In the images below...

  Declan_JMP

  Discussions |

  Dec 26, 2022 11:21 PM

  2242 views | 2 replies

• Change RSM factor levels following DOE run execution

  Hi Community,I created a 16 run RSM (Custom Design) with 1 categorical and 4 continuous factors. Early in the execution I was forced to change several factor levels for practical reasons. I restarted and completed all 16 runs at the new levels, recording on paper all the changes. When I updated the JMP run file and performed Analyze-Fit-Model, the model appeared to retain the previous factor level...

  MichaelR1

  Discussions |

  Dec 26, 2022 12:32 AM

  1183 views | 1 replies

• Why are my fit models showing different factor significance? In "model 1", Random Block is a Random Effect rather than a Fixed Effect, whereas "model 2" lists all the factors as Fixed Effects.

  When I clicked Fit Model, "model 1" popped up, including "Random Block & Random" as a factor, which means "Random Block" is a Random rather than Fixed Effect. However, When I run "model 2" with just "Random Block" as a factor, everything becomes less efficient. Which is more correct and why? Also, I'm used to the Model 2 output, in which I can click on Scaled Estimates. And I was taught at a JMP t...

  evtran

  Discussions |

  Dec 23, 2022 8:45 PM

  1860 views | 3 replies