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Latest Discussions

• JMP v18 release?

  A couple weeks back the JMP New-Release page said that JMP 18 would be released on March 19th.  I checked today and I don't see the date listed anymore. Is today still the day?  Or is it delayed?

  BHarris

  Discussions |

  Mar 19, 2024 11:57 AM

  1721 views | 1 replies

• Graph Builder: removing empty sub-graphs using JSL

  Hi, I'm using JSL to produce graph builder plots. These plots are plotted against one or multiple variables. The problem is that sometimes, graph builder produces empty plot with no value. Is there are a method to remove those empty sub-graphs? For a better understanding of the problem, I have attached an example. In the example, ALICE, DAVID, ..etc. have empty plots. Those are the one I'm trying ...

  RA899

  Discussions |

  Mar 19, 2024 10:31 AM

  4373 views | 9 replies

• Coding and intercept in mixture DoE models

  Hello Community, I have a question concerning the models found for Mixture DoE when the default L PseudoComponent Coding is activated (default conditions). When this is activated, my main effects have strange forms like in the picture below:  I prefer when they have a cleaner view, just Oil, water and vinegar (not in the form of ratio). Apart from the visual aesthetics preferences, there is someth...

  Julianveda

  Discussions |

  Mar 19, 2024 8:22 AM

  2364 views | 5 replies

• Considering standard deviations in to DOE

  I made a DOE with custom design of 6 runs. The 2 factors are continous and response Y is in %. When i have the results for Y. the standard deviations is quite huge. So, if i just input the mean value, I believe that it will not do justice to the design predictions. So what can i do to add these standard deviations to be considered by the model to get a better predictions.

  Mathej01

  Discussions |

  Mar 19, 2024 7:58 AM

  1779 views | 3 replies

• Modeling longitudinal data and consider potential impact of process history

   Hi community, I have a question on how to handle a modeling situation. I have a set of longitudinal data like the one in the table below:  I have some factors (X, M and N) that are evaluated each time in different steps of a process (step 1, step 2 and step 3). I measure an answer Y and then the idea is to identify which factor (and from which step) is more influential on the outcome Y. To make t...

  Julianveda

  Discussions |

  Mar 19, 2024 5:50 AM

  1562 views | 2 replies