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Latest Discussions

• Prior mean and prior variance matrix in choice design

  Hi to all,I am just reading the article Optimal Design of the Choice Experiment - JMP BlogHere the author writes "When there are three levels in increasing utility order, enter negative, then 0." So far so good. But what if I have e. g. 5 prices like 5, 10, 15, 20, 25 and 30 euros. Which prior means would I take in that case?30 = -425 = -320 = -215 = -110 = 05 = 1And is the prior mean variance sti...

  herberthinterbe

  Discussions |

  Oct 19, 2020 6:05 PM

  16585 views | 6 replies

• Creating Summary Table for Line of Fit?

  Hello, I have a script that generates Graphs using Graph Builder and Bivariate in a window. The function is shown below. Sorry if it is confusing, I had to hide the actual column and data table names. Essentially, the data table called upon in the function contains different lot numbers in rows, and different tests in columns.The function generates a graph for each test parameter vs time, and also...

  DanAlexander

  Discussions |

  Oct 19, 2020 1:06 PM

  3996 views | 4 replies

• Cycle Detected in calculation

  I know JMP is not a spreadsheet and I might need to calculate this differently than I would in excel, but I cannot figure out the workaround. I have a calculation where a variable is relying on itself and that gives me a "cycle detected for data column" errorI have a tank that has solution being added in over time. I know how much I have added and the tank's total volume. I also take volume out of...

  ealindahl

  Discussions |

  Oct 19, 2020 12:59 PM

  3091 views | 5 replies

• Using a covariate in a factorial

  Hi all,  I have a data set where I am wanting to use initial body weight as a covariate for the subsequent body weights of the trial. However, when I use the covariate it changes my least square means. My question is why?  For example, my average end weight for one treatment without the covariate included is 1310.9, but when the covariate is included it changes to 1302.3.Shouldn't it only effect t...

  remcarmi

  Discussions |

  Oct 19, 2020 10:05 AM

  1031 views | 1 replies

• What is k when assessing variable importance?

  Hi JMP Community, I was running neural networks to construct prediction models by JMP and assessing variable importance by Dependent Resampled Inputs, which using a k-nearest neighbors approach.  I had the variable importance for each variable in the model, but how can I know the value of k and the other details of the k-nearest neighbors approach?  

  Serenitez

  Discussions |

  Oct 18, 2020 9:07 AM

  2947 views | 4 replies