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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