I have a list of people grouped by schedule, house and, family. Each person has an ID and a code (showing their status; head of a household or otherwise) and occupation. I need to add one more column, the value in which would for each person equal the occupational code of the head of their household.
I have tried:
id <- c(1:10)
schedule <- c(1,1,1,1,1,2,2,2,2,2)
house <- c(1,1,1,2,2,1,1,1,1,2)
status <- c(10,20,30,20,10,20,20,10,30,10)
occup <- c(1,2,3,3,5,2,2,4,5,1)
census <- data.frame(id, schedule, house, status, occup)
for(a in 1:max(census$schedule))
{
hh1 <- census %>% filter(schedule == a)
for(b in 1:max(census$house))
{
hh2 <- hh1 %>% filter(house == b)
head <- hh2 %>% filter(status == 20)
x <- head$occup
mutate(hh2, h_occ = x)
}}
But got an error message:
Error: Problem with mutate() input h_occ. x Input h_occ can't be
recycled to size 4. i Input h_occ is x. i Input h_occ must be
size 4 or 1, not 2.
I do not know how to resolve this issue.
