Hi Arul,

Thanks for your reply.  I am trying your approach now.  I will reply once
again with my result.

Regards,
Sathish


On Sat, Apr 19, 2014 at 6:43 PM, arun <smartpink111@yahoo.com> wrote:

>
>
> 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@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
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