Below is the "head" of my datatable, called off.
callgroup agent_idx binary_outcome
1715 8 453 0
1716 5 486 0
1717 50 367 0
1718 60 513 0
1719 7 282 0
1720 8 660 0
Each row represents a specific agent, callgroup, and binary outcome (sale/no sale). I'd like to find the sum of binary outcomes for each agent:callgroup pair. Ideally, the output would look something like:
callgroup agent_idx total_succeses
8 453 25
8 486 37
...
I've seen a couple semi-similar questions on here, such as Multiple Pivot Table - R (table) (only the binary outcome summation is not observed.) And another, with a completely different approach How to sum a variable by group
Here is my best attempt:
off %>% group_by(c(callgroup, agent_idx)) %>%
summarise(successes = sum(binary_outcome))
>>>
Error: Problem with `mutate()` input `..1`.
x Input `..1` can't be recycled to size 1409261.
i Input `..1` is `c(callgroup, agent_idx)`.
i Input `..1` must be size 1409261 or 1, not 2818522.
Run `rlang::last_error()` to see where the error occurred.
Any ideas?