So I've got this example df
:
df <- dput(structure(list(arts = structure(c(1L, 1L, 3L, 4L), .Label = c("art1", "art2"), class = "character"), scr1 = c(52L, 58L, 40L, 62L), scr2 = c(25L, 23L, 55L, 26L), scr3 = c(36L, 60L, 19L, 22L)), .Names = c("art_id", "scr1", "scr2", "scr3"), row.names = c(NA, -4L), class = "data.frame"))
> df
art_id scr1 scr2 scr3
1 1 52 25 36
2 1 58 23 60
3 3 40 55 19
4 4 62 26 22
That I'm using dplyr
to summarize by art_id
df %>%
group_by(art_id) %>%
summarise_each(funs(sum))
art_id scr1 scr2 scr3
<int> <int> <int> <int>
1 1 110 48 96
2 3 40 55 19
3 4 62 26 22
My question: How can I add another column called top_r
that contains the column name from the maximum among src1:src3
. The resultant df would look like:
art_id scr1 scr2 scr3 top_r
<int> <int> <int> <int> <char>
1 1 110 48 96 scr1
2 3 40 55 19 scr2
3 4 62 26 22 scr1
I am comfortable using dplyr
so if there's an answer that uses that library that's wonderful!