Thanks, everyone!
Quoting Jim Lemon <drjimle...@gmail.com>:
Oops, I sent this to Tom earlier today and forgot to copy to the list:
VendorID=rep(paste0("V",1:10),each=5)
AcctID=paste0("A",sample(1:5,50,TRUE))
Data<-data.frame(VendorID,AcctID)
table(Data)
# get multiple vendors for each account
dupAcctID<-colSums(table(Data)>0)
Data$dupAcct<-NA
# fill in the new column
for(i in 1:length(dupAcctID))
Data$dupAcct[Data$AcctID == names(dupAcctID[i])]<-dupAcctID[i]
Jim
On Wed, Nov 18, 2020 at 8:20 AM Tom Woolman <twool...@ontargettek.com>
wrote:
Hi everyone. I have a dataframe that is a collection of Vendor IDs
plus a bank account number for each vendor. I'm trying to find a way
to count the number of duplicate bank accounts that occur in more than
one unique Vendor_ID, and then assign the count value for each row in
the dataframe in a new variable.
I can do a count of bank accounts that occur within the same vendor
using dplyr and group_by and count, but I can't figure out a way to
count duplicates among multiple Vendor_IDs.
Dataframe example code:
#Create a sample data frame:
set.seed(1)
Data <- data.frame(Vendor_ID = sample(1:10000), Bank_Account_ID =
sample(1:10000))
Thanks in advance for any help.
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