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Latest Discussions

• Missing features from JMP 17 Trial

  I was recently introduced to JMP as a student and have been using the trial version to see if this will be helpful for continued use. I've noticed that there are several missing features such as no access to K Nearest Neighbors under the Predictive Modeling menu or Association Rules, and no Validation field on the Partition window (screenshot below.)
  
  Are these features not included as part of a tri...

  baffledstudent

  Discussions |

  Nov 17, 2022 3:27 PM

  4366 views | 7 replies

• Ordinal Regression Help

  Hi,  I was wondering if there was a way to specify the comparison between variables with ordinal regression. I have my ordinal variable (OHI) compared to 3 different bones (femur, ilium, and rib). Based on the output, JMP is comparing the rib to the femur, and the rib to the ilium. Is there a way that I can also compare the femur to the ilium?  Here is the output:  

  geomb

  Discussions |

  Nov 17, 2022 4:51 AM

  1005 views | 1 replies

• Why don't i get significant letters even though my P value is <0.05?

  Hello everyone! I am running a regression analysis and even though my P-value is less than 0.05 (0.0385 in my case), the letters are all A, showing no significance. How can i get JMP to recognize the significance? Any experience here? Best regardsHaris 

  xaris19801001

  Discussions |

  Nov 14, 2022 12:00 PM

  5135 views | 6 replies

• GLM / Poisson with Overdispersion // use of AICc

  Hello. I have encountered the following issue while modeling with GLM/Poisson the data in the attached table (Response = Count, Regressor = X). Data visual exploration suggests a clear relationship between X and Count, but comparison of AICc for model with X vs null model favors the Null model (just intercept).  Scripts to reproduce the two models are embedded. I believe I have found an explanatio...

  matteo_patelmo

  Discussions |

  Nov 11, 2022 9:59 PM

  3211 views | 6 replies

• Contradictory Ranking: Group Means vs Nominal Logistic Regression

  We have four categories, each with 1000 (continuous) responses. The order for the average response A < B < C << D. The order obtained by nominal logistic regression: A < C < B << D.  (The difference between means B and C is 1.64%). I understand that nominal logistic regression is based on likelihood ratios for different rankings, but it is still puzzling to me that the same dataset yields a differ...

  tomSorger

  Discussions |

  Oct 28, 2022 1:07 PM

  3443 views | 7 replies