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• SAS / JMP graphs

  Hello,
  
  I am working on some Clinical data , in summary data looks like
  Drug , Condition Score Method
  ==============================================================
  7011 9011 1.375171937 A
  7012 9012 1.2849949645 A
  7013 9013 0.8529674171 A
  For a Drug there can be multiple condition, One condition could through one or more than one drug,
  These results...

  

  Discussions |

  Jan 12, 2011 2:56 PM

  2244 views | 0 replies

• Mixed effects Models (REML) in JMP-understanding the denominator DF

  I am attempting to run mixed effects models (using the REML method) in the fit model platform in JMP 8.0.1. I have two random factors and two fixed factors. I have run the same model for two different response variables (so the structure, number of reps etc is identical) and am puzzled by the fact that the reported denominator DF in my fixed factor effect test report is not the same for both mo...

  

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  Aug 20, 2010 8:56 AM

  2912 views | 0 replies

• Help for an experimentalist

  Is there a straightforward way to run a simple analysis of covariance, and receive the ANOVA table as output?
  
  How about any estimate of effect size, such as Cohen's d, Eta-squared, or Omega-squared?
  
  Any way to receive actual group means instead of least squares means in the post-hoc analyses? (see: http://onbiostatistics.blogspot.com/2009/04/least-squares-means-marginal-means-vs.html)

  

  Discussions |

  Jul 30, 2010 10:53 AM

  2456 views | 0 replies

• Control Charting with transactional recordset

  Hello,
  
  I'm trying to understand if JMP supports a control chart graph directly from transactional data without first having to create a summary table.
  
  The JMP sample data table called Washers contains 15 records showing the count of defects per lot size of 400. Taking one step back there may have existed a data table of 6000 records (15x400) where each record contained the defect count of 1 or 0. W...

  khill

  Discussions |

  May 10, 2010 4:40 AM

  2388 views | 0 replies

• Nemenyi test post-hoc for Kruskal-Wallis test

  Is there a way to do post-hoc testing for the Kruskal-Wallis test for non-parametric data? I have searched the web and most use the Nemenyi test as described by Zar in Biostatistical analysis 3rd edition p226. I have a large amount of data and don't want to do all this by hand.
  
  Many thanks

  

  Discussions |

  Feb 12, 2010 12:10 AM

  3219 views | 0 replies