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Latest Discussions

• DOE for a single component with different sources & levels

  I am trying to optimize the maltodextrin component of a formulation. There are 3 different maltodextrins I would like to assess (different suppliers - categorical), and I would like to run each at 3 concentrations/levels. It doesn't make sense to put the 3 different maltodextrin options as different factors, because they will never be used together - the idea is to choose the best one. I could do ...

  thaumi

  Discussions |

  Apr 15, 2021 9:38 AM

  2952 views | 6 replies

• Weighted Standard Deviation

  Hi How does JMP calculate a weighted standard deviation (when a variable is  selected in the weighting tab in the Distribution Platform?Thank youFanie 

  fanienel

  Discussions |

  Apr 13, 2021 12:53 PM

  6382 views | 5 replies

• How to analyse factorial design with an outcome having two types of variance?

  Hello I have a dataset from a 2-level factorial design with 2 factors.The dataset contains purchase amount per each user.Each row is a unique user. Purchase with 0 value means user didn't purchase. A and B are treatments.  I want to calculate the effect of treatments A and B on  average purchase per user (sum of purchase in USD divided by number of users). However, I assume we need to account for ...

  gustavjung

  Discussions |

  Apr 9, 2021 12:06 PM

  1904 views | 2 replies

• Moving column group to 'after column' is only moving it to the first

  ​I'm trying something that seems simple - moving a column group to a location after another column.   Moving "to last" works, "to first" works, but after doesn't for me, no matter how i mess with format.   Below is example code to test -   Names Default To Here( 1 ); dt = Open( "$SAMPLE_DATA/Cities.jmp" ); dt << group columns( "xy", {:X, :y} ); dt << group columns( "pollutants", :Ozone :: :Lead );...

  jetpeach

  Discussions |

  Apr 8, 2021 1:54 PM

  7636 views | 3 replies

• How do I model A -> B -> C behavior?

  Hello, I was wondering if anyone else has had this problem. We have a DoE custom design for evaluating factors to optimize for product "B" over an impurity, "C." C isn't independent of B - it's a byproduct which forms only upon B forming, that is A -> B-> C. I see how in Column Info one can set independent limits for responses A and B, but is there a way to set constraints such that B + C < 100%? ...

  JasonM

  Discussions |

  Apr 6, 2021 12:43 PM

  1406 views | 2 replies