That is what the "summarise" function is designed to do (instead of mutate).
All of the calculations in a summarise have to aggregate all group rows down to
one value, but that is what you want in this case.
Please note that you are supposed to make your examples reproducible by
including your
I have population data (“totpopE”) at the census tract level (“GEOID”),
which are nested within Precincts (“Precinct”). Please see below my data
structure.
I used the code to sum population data per precinct:
inters <- inters %>%
group_by(Precinct) %>%
mutate(TotalPop = sum(totpopE)
)
H
This is off-topic for this list, but first use the file | import dataset
menu. Then go to the history tab, highlight the import statement that
was generated and click to source. You'll have to figure out where the
reagent dataset is on your own.
On 12/5/2024 9:21 AM, Carlos Alberto Baptista
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