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Latest Discussions

• How to save custom quantiles to a table

  Hello,  I have a continuous variable which I broke down using a custom quantile (instead of normal quantile, default in JMP). My custom quantile is 0%, 25%, 50%, 75% and 100%. The distribution platform shows the output but how can I save this to a table? If I click the red triangle --> save, I only see the option to save default JMP normal quantiles only.  Any ideas about how I can save the custom...

  75Innovation

  Discussions |

  May 5, 2023 10:09 AM

  2968 views | 4 replies

• How do I scale columns by another column

  Hi there, I have a table that looks like this, a few nominal columns and then lots of numerical columns And I want to make a new "table_scaled" that has the nominal columns copied over and the N(#) columns divided by the "N rows" column and *100 to get a %. I'm trying this code but I'm only getting an empty new table with one blank column, any suggestions? dt = Current Data Table(); NewTable("HOT...

  SeasonalOwl962

  Discussions |

  May 5, 2023 9:00 AM

  1250 views | 3 replies

• Newbie - What am I doing (forecasting hospital admission/Time Series analysis)

  Newbie here with little experience in coding (medical background).  I was given this database which contains all hospital admissions during a 1 year period.Each row represents an individual admission, and columns contain variables like date of admission (YY/MM/DD hh:mm) or source of admission (home, transfer from other hospital, etc). This is a very simplified version of how my table looks like. A...

  JP27

  Discussions |

  May 5, 2023 7:29 AM

  2167 views | 3 replies

• Profiler display of multilevel categorical Factors in “Fit Group”

  Hello,I search a description what are the advantages in detail of the underneath shown Profiler display of multilevel categorical Factors in “Fit Group” with "personallity Stepwise". (two Top left graphs vs six left graphs in the lower Picture) Is there a paper available that explains why the two personallity/methods using different outputs. Can I switch the “Personallity: Stepwise” to the Graphic...

  peter_michel

  Discussions |

  May 4, 2023 10:52 PM

  2776 views | 4 replies

• Single Tree Fit and Random Forest Fit

  Consider the house prices data from lecture (HousePrices). Make an 80/20 training/validation split with the random seed set to “1.” Based on your validation data set, obtain a single tree fit and a random forest fit (no early stopping rule, use defaults). a)  Save the Prediction Formula for each model. Use JMP’s model comparison platform and compare the fits. Show output. The conclusions you make ...

  ABDromedary218

  Discussions |

  May 4, 2023 7:24 PM

  1040 views | 1 replies