Hi, 
  I created an rpart object using 10-fold cross validation while creating the tree.
  What i wish i could do now is to compare estimated cross-validation error rates between different selection rules, for an approximately equal random division of the data into a training and test set.
   
  I eventually found the function "compareTreecalcs", within the package DAAG.
  However, apparently this function does not work... either i get some unexpected problems with the length of the data (nonetheless, the same formual DOES work with rpart) or an invalid prediction error.
   
  Any suggestions? i would appreciate it if you could give me some hints.
  Thanks in advance for the answer and the precious time you might waste...
   
  Giorgio  


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