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Latest Discussions

• Model reduction

  Hello, According to the JMP learning model for DOE analysis, non-significant terms in the model can be removed, starting with the non-significant higher order interactions (= model reduction). However, is it really that simple? Are there other things to take into considerations before removing non-significant terms? Does removing a non-significant term necessarily meant that this factor has no/min...

  SaraA

  Discussions |

  Dec 15, 2024 11:40 PM

  2300 views | 7 replies

• Bug when using combination of set each value, tables with same column name(s) and col statistical functions within a loop

  This has already been reported to JMP support and they have submitted it as a bug to development (00049239). Seems to happen at least with JMP16.2 and JMP17.0   Just as a heads up, there is fairly bad bug with JMP when using the mentioned combination (set each value, loop and col statistical functions). What happens is that JMP does use data from wrong table when adding data to different table. On...

  jthi

  Discussions |

  Dec 15, 2024 10:01 AM

  1803 views | 4 replies

• How does JMP evaluate a column formula?

  @txnelson just used summarize() inside as constant:https://community.jmp.com/t5/Discussions/Alphabetical-Ranking-of-Nominal-Data/m-p/822725/highlight/true#M100245 As Constant( Summarize( theLevels = by( :age ) ) ); Contains( theLevels, Char( :age ) ); Very interesting approach!For as constant, the scripting index provides the exampleNames Default To Here( 1 ); New Table( "As Constant Demo Table 1"...

  hogi

  Discussions |

  Dec 15, 2024 5:07 AM

  1696 views | 6 replies

• Different minimal defect control range for defect profiler versus design space profiler

  Goal of a study is to find control space of four factors so that three responses are within specification. In the profiler simulator first I used the defect profiler to check the impact of the factors on the defect rate given in the upper graph below. Then I used the design space profiler shown in the lower graph: results for minimum defect rate are different, why? I accept the control ranges of t...

  frankderuyck

  Discussions |

  Dec 14, 2024 1:42 PM

  923 views | 1 replies

• Guidance on Data Analysis for a 4-Factor Mixture Design with 4 Responses

  I am working on a mixture design in JMP with four continuous factors and four responses. While I have made progress in modeling and evaluating individual responses, I am finding it challenging to analyze all responses collectively. Specifically: The ternary plots are limited to visualizing only three mixture components at a time, which makes it difficult to understand the behavior of all four fact...

  K_JMP

  Discussions |

  Dec 14, 2024 7:43 AM

  988 views | 2 replies