I haven’t delved too deep into tidyeval and quasiquotation yet, but I have a case where it seems like it makes sense to use and I need some help to make it work.

Say I have a tibble in wide format where each row is an election district and each column is the number of votes a candidate received. I want to calculate to total votes per district and the proportion of votes each candidate received in each district.

```
library(tidyverse)
votes <- tribble(
~district, ~a, ~b, ~c,
"dist1", 20L, 5L, 10L,
"dist2", 25L, 5L, 15L,
"dist3", 10L, 15L, 15L,
)
votes
#> # A tibble: 3 x 4
#> district a b c
#> <chr> <int> <int> <int>
#> 1 dist1 20 5 10
#> 2 dist2 25 5 15
#> 3 dist3 10 15 15
```

If I were just calculating it for this set of candidates, I would do something like the following:

**(edited to include rowise()) for expected totals)**

```
votes %>%
rowwise() %>%
mutate(
total = sum(a + b + c),
a_prop = a / total,
b_prop = b / total,
c_prop = c / total
)
#> Source: local data frame [3 x 8]
#> Groups: <by row>
#>
#> # A tibble: 3 x 8
#> district a b c total a_prop b_prop c_prop
#> <chr> <int> <int> <int> <int> <dbl> <dbl> <dbl>
#> 1 dist1 20 5 10 35 0.571 0.143 0.286
#> 2 dist2 25 5 15 45 0.556 0.111 0.333
#> 3 dist3 10 15 15 40 0.250 0.375 0.375
```

But where I’m having trouble is if I want to write a function to do this where there could be any number of candidates with any possible name. I think this is a case where I would want to use `(...)`

and `:=`

in my function, but I’m not really sure how to go about it unquoting each element of the dots list to create a new column.