`sample.with.replacement = FALSE` across ethnicities/ genders about randomnames HOT 2 CLOSED

Hello. This is a tough one. The sample is done (as your example points out) at the ethnicity by gender level. Thus, you end up with unique names at that level. The problem is that there are several first names that are in the data sets for both genders and multiple ethnicities.

I could add an addition check for uniqueness and if the names aren't unique, then try to add in unique names. The only problem with this (which would require another check is if the number of names being requested exceeds the number of names I have in the data sets, then it's impossible to get the unique names.

I'd probably add a different argument to the function to ensure that unique names are returned.

Would that help?

from randomnames.

Yeah, I figured it might be annoying! A different argument for unique names would work perfectly for my use-case at least. (And in fairness, so does generating more names than needed on my end and subsetting out the unique names – so don't feel like this is an essential addition!)

from randomnames.