I am new to R and
I have the following dataframe below with living_arrangements
vertex on the y axis and loneliness_level
vertex on the x axis.
What would be the best way if I wanted to to combine Alternate between parents and partner
and College or student accomodation
into its own unique category called other
so I have my dataframe like the one below instead?
loneliness_level
living_arrangements 1 2 3 4 5 6 7 8 9 10
Alone 1 1 0 2 0 1 1 3 1 4
Other 1 2 5 2 2 1 2 3 1 0
If we want to get the sum, use rowsum
out <- rowsum(m1, group = c(1, 2, 2))
row.names(out) <- c("Alone", "Other")
names(dimnames(out)) <- names(dimnames(m1))
-output
> out
loneliness_level
living_arrangements 1 2 3 4 5 6 7 8 9 10
Alone 1 1 0 2 0 1 1 3 1 4
Other 1 2 5 2 2 1 2 3 1 0
m1 <- structure(c(1, 0, 1, 1, 0, 2, 0, 1, 4, 2, 0, 2, 0, 0, 2, 1, 0,
1, 1, 0, 2, 3, 0, 3, 1, 0, 1, 4, 0, 0), .Dim = c(3L, 10L), .Dimnames = list(
living_arrangements = c("Alone", "Alternate between parents and partner",
"College or student accomodation"), loneliness_level = c("1",
"2", "3", "4", "5", "6", "7", "8", "9", "10")))