I want to collapse the rows based on users while placing the '1' on their corresponding columns.
Each row for each user can only have one '1' so there need not be any adding to the rows following.
My df:
User +1 +2 +3 +4 +5
A 1 0 0 0 0
A 0 1 0 0 0
A 0 0 0 0 1
B 0 0 1 0 0
B 0 0 0 1 0
User +1 +2 +3 +4 +5
A 1 1 0 0 1
B 0 0 1 1 0
Looks like you can use summarise_each
:
df %>% group_by(User) %>% summarise_each(funs(sum))