Sathish Kumar
2014-Apr-19 08:57 UTC
[R] Need help to convert data frame to transaction set.
Hi, To convert coerce the data set to transaction data set I used the code trans4 <- as(split(a[,"Cust_ID"], a[,"Parts"]), "transactions") but I am getting the following error- Error in as(split(a[, "Cust_ID"], a[, "Parts"]), "transactions") : nomethod or default for coercing ?list? to ?transactions? Then I tried first converting the data set to matrix structure using the code c_m<-as.matrix(c_df) c_m then entered the following code trans2 <- as(c_m, "transactions") but got the following error Error in as(c_m, "transactions") : no method or default for coercing ?matrix? to ?transactions? Please let me know how to correct the problem. Thanks Sathish
Hi, Without a reproducible example using ?dput() or the package name, it is a bit difficult to comment. Assuming that you used: library(arules) ?data("AdultUCI") AdultUCI$ID <- 1:nrow(AdultUCI) lst1 <- split(AdultUCI[,"ID"], AdultUCI[,"marital-status"]) ?as(lst1, "transactions") #transactions in sparse format with # 7 transactions (rows) and # 48842 items (columns) A.K. On Saturday, April 19, 2014 5:01 PM, Sathish Kumar <tellsathish at gmail.com> wrote: Hi, To convert coerce the data set to transaction data set I used the code trans4 <- as(split(a[,"Cust_ID"], a[,"Parts"]), "transactions") but I am getting the following error- Error in as(split(a[, "Cust_ID"], a[, "Parts"]), "transactions") : nomethod or default for coercing ?list? to ?transactions? Then I tried first converting the data set to matrix structure using the code c_m<-as.matrix(c_df) c_m then entered the following code trans2 <- as(c_m, "transactions") but got the following error Error in as(c_m, "transactions") : no method or default for coercing ?matrix? to ?transactions? Please let me know how to correct the problem. Thanks Sathish ______________________________________________ R-help at 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.