Dear R-helpers, I have run a basket analysis in Rattle. I've used 'arules' package.
> crs$apriori <- apriori(crs$transactions, parameter = list(support=0.100, confidence=0.100, minlen=2)) and > str(crs$apriori) Formal class 'rules' [package "arules"] with 4 slots ..@ lhs :Formal class 'itemMatrix' [package "arules"] with 3 slots .. .. ..@ data :Formal class 'ngCMatrix' [package "Matrix"] with 5 slots .. .. .. .. ..@ i : int [1:22] 0 3 0 1 2 3 2 1 3 1 ... .. .. .. .. ..@ p : int [1:17] 0 1 2 3 4 5 6 7 8 9 ... .. .. .. .. ..@ Dim : int [1:2] 4 16 .. .. .. .. ..@ Dimnames:List of 2 .. .. .. .. .. ..$ : NULL .. .. .. .. .. ..$ : NULL .. .. .. .. ..@ factors : list() .. .. ..@ itemInfo :'data.frame': 4 obs. of 1 variable: .. .. .. ..$ labels:Class 'AsIs' chr [1:4] "1" "2" "3" "4" .. .. ..@ itemsetInfo:'data.frame': 0 obs. of 0 variables ..@ rhs :Formal class 'itemMatrix' [package "arules"] with 3 slots .. .. ..@ data :Formal class 'ngCMatrix' [package "Matrix"] with 5 slots .. .. .. .. ..@ i : int [1:16] 3 0 1 0 3 2 1 2 1 3 ... .. .. .. .. ..@ p : int [1:17] 0 1 2 3 4 5 6 7 8 9 ... .. .. .. .. ..@ Dim : int [1:2] 4 16 .. .. .. .. ..@ Dimnames:List of 2 .. .. .. .. .. ..$ : NULL .. .. .. .. .. ..$ : NULL .. .. .. .. ..@ factors : list() .. .. ..@ itemInfo :'data.frame': 4 obs. of 1 variable: .. .. .. ..$ labels:Class 'AsIs' chr [1:4] "1" "2" "3" "4" .. .. ..@ itemsetInfo:'data.frame': 0 obs. of 0 variables ..@ quality:'data.frame': 16 obs. of 3 variables: .. ..$ support : num [1:16] 0.16 0.16 0.169 0.169 0.321 ... .. ..$ confidence: num [1:16] 0.619 0.244 0.654 0.242 0.661 ... .. ..$ lift : num [1:16] 0.943 0.943 0.935 0.935 1.007 ... ..@ info :List of 4 .. ..$ data : language crs$transactions .. ..$ ntransactions: int 894 .. ..$ support : num 0.1 .. ..$ confidence : num 0.1 How can I extract the set of rules from crs$apriori? -- Regards Abhinaba Roy [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org 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.