multiple data subsets combined in to one variable. // I have 51 states broken into 4 separate locations. That need to be established into one variable "region" in base r.
Hi, and welcome. A reproducible example, called a reprex would help here. How the 51 states are broken into locations makes a big difference.
If you have four separate files, say, North, East, West, South"you can mutate each of them with the following pattern using dplyr
north <- north %>% mutate(region = "North")
and then rbind the results into your national data frame.
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Im required to use base r functions unfortunately dplyr is not allowed
Would still need a reprex showing how your data is organized to help
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