I **suggest** that you explain what you wish to accomplish using a reproducible example rather than telling us what packages you think you should use. I believe you are making things too complicated; e.g. what do you mean by "frequent patterns"? Moreover, "basket format" is rather unclear -- and may well be unnecessary. But using lists, it could be simply accomplished by
?split ## as in the_list <- with(yourdata, split(TYP, CIN.TRN)) or possibly the_list <- with(yourdata, tapply(TYP,CIN.TRN, FUN = table)) Of course, these may be irrelevant and useless, but without knowing your purpose ...? -- Bert On Sat, Mar 9, 2013 at 4:37 AM, Dhiman Biswas <crazydh...@gmail.com> wrote: > I have a data in the following form : > CIN TRN_TYP > 9079954 1 > 9079954 2 > 9079954 3 > 9079954 4 > 9079954 5 > 9079954 4 > 9079954 5 > 9079954 6 > 9079954 7 > 9079954 8 > 9079954 9 > 9079954 9 > . . > . . > . . > there are 100 types of CIN (9079954,12441087,15246633,...) and respective > TRN_TYP > > first of all, I want this data to be grouped into basket format: > 9079954 1, 2, 3, 4, 5, .... > 12441087 19, 14, 21, 3, 7, ... > . > . > . > and then apply eclat from arules package to find frequent patterns. > > 1) I ran the following code: > file<-read.csv("D:/R/Practice/Data_Input_NUM.csv") > file <- file[!duplicated(file),] > eclat(split(file$TRN_TYP,file$CIN)) > > but it gave me the following error: > Error in asMethod(object) : can not coerce list with transactions with > duplicated items > > 2) I ran this code: > file<-read.csv("D:/R/Practice/Data_Input_NUM.csv") > file_new<-file[,c(3,6)] # because my file Data_Input_NUM has many other > columns as well, so I selecting only CIN and TRN_TYP > file_new <- file_new[!duplicated(file_new),] > eclat(split(file_new$TRN_TYP,file_new$CIN)) > > but again: > Error in eclat(split(file_new$TRN_TYP, file_new$CIN)) : > internal error in trio library > > PLEASE HELP > > [[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. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ 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.