I want to write a function that has as parameters a data set, a variable to be grouped, and another parameter to be filtered. I want to write the function in such a way that I can afterwards apply map() to it and pass the variables to be grouped in to map() as a vector. Nevertheless, I don't know how my custom function rating() accepts the variables to be grouped as a string. This is what i have tried.
data = tibble(a = seq.int(1:10),
g1 = c(rep("blue", 3), rep("green", 3), rep("red", 4)),
g2 = c(rep("pink", 2), rep("hotpink", 6), rep("firebrick", 2)),
na = NA,
stat=c(23,43,53,2,43,18,54,94,43,87))
rating = function(data, by, no){
data %>%
select(a, {{by}}, stat) %>%
group_by({{by}}) %>%
mutate(rank = rank(stat)) %>%
ungroup() %>%
filter(a == no)
}
fn(data = data, by = g2, no = 5) #this works
And this is the way i want to use my function
map(.x = c("g1", "g2"), .f = ~rating(data = data, by = .x, no = 1))
... but i get
Error: Must group by variables found in `.data`.
* Column `.x` is not found.