Refer: http://dplyr.tidyverse.org/articles/programming.html
This Code works Fine:
df <- tibble(
g1 = c(1, 1, 2, 2, 2),
g2 = c(1, 2, 1, 2, 1),
a = sample(5),
b = sample(5)
)
my_summarise <- function(df, group_by) {
group_by <- enquo(group_by)
print(group_by)
df %>%
group_by(!!group_by) %>%
summarise(a = mean(a))
}
my_summarise(df, g1)
However, just if we wrap this function in another, and make the call, it will not work. Is it because the name gets passed only for one level?
wrapped_my_Summarize <- function(wdf, w_group_by){
my_summarise(wdf, w_group_by)
}
wrapped_my_Summarize(df, g1)
In general, I feel the above example is a risky one to go with
Convert it to quosure from the symbol with enquo
and then evaluate the function argument (!!
) of my_summarise
wrapped_my_Summarize <- function(wdf, w_group_by){
w_group_by <- enquo(w_group_by)
my_summarise(wdf, !! w_group_by)
}
wrapped_my_Summarize(df, g1)
# A tibble: 2 x 2
# g1 a
# <dbl> <dbl>
#1 1.00 2.00
#2 2.00 3.67
identical(wrapped_my_Summarize(df, g1), my_summarise(df, g1))
#[1] TRUE
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