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Latest Discussions

• how to add confounding variable

  I am working with a multi level data. Data is attached.In this dataset, I have 8- X variable: cumulative risk (continuous), all other risk (dichotomous). 3- Y variables: insurance and practice (dichotomous) and time (continuous)I have one confounding variable Age (continuous). I will have to add random effect to X variable. But I am confused how to add confounding variable to this analysis. Can an...

  billi

  Discussions |

  Jan 6, 2020 9:39 AM

  1505 views | 0 replies

• ROC curve analysis: sensitivity at fixed specificity

  Dear all,I'm a novice of JMP and I'm stunned with its great potential. I ask your help to solve my problem. I made a ROC analysis on a data set, and I need to calculate, based on ROC curve, sensitivity at fixed 80%, 95% and 99% specificity. The software doesn't seem to provide this option. I know I can approximate these values looking at the cut-offs in the ROC table, however it's only an approxim...

  LgWagon

  Discussions |

  Jan 5, 2020 11:40 AM

  2262 views | 1 replies

• Saving an Empty Table with JSL

  I'm opening several tables from a database, and then saving those into CSV files. The script works fine as long as the table has data, but empty tables (which I also want to save to show that they're empty) give me this error:
  
  Data table is empty.
  
  The file could not be saved.
  Unable to save file.{2}
  
  I can manually save the tables in JMP format, but not as a text export. Any ideas?

  afterword

  Discussions |

  Jan 3, 2020 1:56 PM

  5257 views | 3 replies

• interactive html and local data filter in jsl

  Hi,I want to save plots of the same variable but filtered for different values as interactive html.Here is an example:new_window = New Window( "NW", hlb = H List Box() ); for (age_index=1,age_index<=N items(age_list),age_index++, graph = Graph Builder( invisible, Size( 1357, 920 ), Variables( X( :index ), Y( :Height ), ), ...

  Leily

  Discussions |

  Jan 3, 2020 1:05 PM

  4392 views | 3 replies

• Module analysis and correlation networks

  This might be more of a "wish list" post, but I am interested in the capacity of carrying out correlation network analysis in JMP with OMICS datasets (in my case, protein concentration data). There is a popular approach called WGCNA (weighted gene co-expression network analysis), described as follows (from https://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/):"Correlation ne...

  abmayfield

  Discussions |

  Dec 31, 2019 7:40 AM

  6454 views | 3 replies