Reputation: 59
data_2019q1 %>%
group_by(UF, V2007, V2010) %>%
summarize(meanIncome = mean(VD4020, na.rm= TRUE))
is what im trying to do, but i want it to show meanIncome for people who live in UF = X or Y or Z as a single value
Upvotes: 0
Views: 67
Reputation: 887851
In the group_by
, modify the 'UF' with replace
to a single value i.e. "Other"
library(dplyr)
data_2019q1 %>%
group_by(UF = replace(UF, UF %in% c("X", "Y", "Z"), "Other"),
V2007, V2010) %>%
summarise(meanIncome = mean(VD4020, na.rm = TRUE))
Or another option is fct_collapse
from forcats
library(forcats)
data_2019q1 %>%
group_by(UF = fct_collapse(UF, Other = c("X", "Y", "Z")),
V2007, V2010) %>%
summarise(meanIncome = mean(VD4020, na.rm = TRUE))
Upvotes: 2