Hi AK,
First, your timely response is greatly appreciated.
Contrary to what you are getting, I am getting the below when I enter the
same code
> lines1 <- readLines("spares.csv")
> head(lines1)
[1] "Cust_ID,Parts""1,FENDERS""2,FENDERS"
[4] "3,OIL FILTERS""4,BMW SERVI
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 wrote:
>
>
> Hi,
>
> Without a reproducible example using ?dput() or the package name, it is a
> bit difficult to comment.
>
> Assumi
Hi Satish,
Using your code:
part<-read.csv("spares.csv")
str(part)
#'data.frame': 838 obs. of 1 variable:
# $ Cust_ID.Parts: Factor w/ 838 levels "100\tAIR\tFILTER\tHOUSING\t",..: 161
333 495 727 728 768 769 770 784 785 ...
#I guess you have only two columns in the dataset
lines1 <- read
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
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 “transac
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