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Latest Discussions

• About 'WorkFlow' Error: WF_ColumnRef by JMP17

  I'm learn how to use the work flow step by step through the JMP course-JMP basic introduction vedio, but it shows error by WF_ColumnRef(like pic), please help to find out the problem. Thanks.

  LYY

  Discussions |

  Aug 28, 2024 9:17 AM

  830 views | 1 replies

• Reference Lines in Variability Chart taken from a list using for loop

  I have a list say "myList"  that contains a dynamic number of elements. I would like to add reference lines taken from the list in the following variability charts Variability Chart( Y( :Value), X( :Time Point, :Storage Condition, :Level ), Std Dev Chart( 0 ), By( :Parameter ), SendToReport( Dispatch( {"Variability Chart for Value"}, "Variability Chart"...

  Georgios_Tsim

  Discussions |

  Aug 28, 2024 8:10 AM

  552 views | 1 replies

• How to Implement "Saving Your Work in a JMP Journal" using JSL

  Based on the information shared below, it is possible to create links to a JMP Journal by using the "open all files" method.
  
  https://community.jmp.com/t5/Statistical-Thinking-for/Saving-Your-Work-in-a-JMP-Journal/ta-p/271841 I would like to implement a feature in the GUI where a button can be clicked to create a journal link similar to the method shown in the referenced video (without transferring ...

  BabyDoragon

  Discussions |

  Aug 28, 2024 8:04 AM

  2454 views | 8 replies

• Which test to evaluate the assumption of homegeneity of variances of residuals (apart from residual vs predicted plot) ?

  Hi community, In the residuals analysis, I evaluate normality and constant variance with the default graphs given in the regression analysis. However, I was wondering in which way I could test constant variance with a test that allow me to have sort of a p-value that make the situation more precise than looking at the graphs. I am able to do it for normality, but not yet for the constance variance...

  Julianveda

  Discussions |

  Aug 28, 2024 7:06 AM

  2182 views | 5 replies

• How to limit a response prediction to a threshold in a model?

  Hi!I want to model particle size, which is a variable that can't be below 0. However, some setups are being predicted to be negative (see picture below). So my question is how can I limit the prediction threshold to be above zero? Is there any truncated approach in JMP?  

  PValueEnemy

  Discussions |

  Aug 28, 2024 5:59 AM

  1150 views | 2 replies