[R] counting duplicate items that occur in multiple groups
w||||@mwdun|@p @end|ng |rom gm@||@com
Wed Nov 18 00:01:03 CET 2020
What should the result be for
Data1 <- data.frame(Vendor=c("V1","V2","V3","V4"),
Must each vendor have only one account? If not, what should the result be
Data2 <- data.frame(Vendor=c("V1","V2","V3","V1","V4","V2"),
On Tue, Nov 17, 2020 at 1:20 PM Tom Woolman <twoolman using ontargettek.com>
> 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:
> Data <- data.frame(Vendor_ID = sample(1:10000), Bank_Account_ID =
> Thanks in advance for any help.
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> and provide commented, minimal, self-contained, reproducible code.
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