hi, there: I have a question on use of arules package:
suppose i have a classification problem with class id = 1 or 0. i put predictors and class ids together and tranform all of them into binary thus i got a binary matrix. When I build the rules from it, I subset the rules to 2 by defining rhs %in% "classid = 1" or "2". (Actually i can build rules from two seperate datasets (by classid) and use eclat to get most frequent itemset). Anyway, I am thinking to use "chisq" or something to test the differentiating power of "lhs" and look for the most powerful "lhs". But I just don't know how to do it. Maybe someone can explain to me about the structure of "rules" from that package. -- Weiwei Shi, Ph.D Research Scientist GeneGO, Inc. "Did you always know?" "No, I did not. But I believed..." ---Matrix III ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
