如何在 purrr 中使用 rlang
how to use rlang inside purrr
我想得到 2 data.frames,按列
进行差异分组
c("hp", "cyl") %>%
tibble() %>%
magrittr::set_colnames("vars1") %>%
mutate(data = map(vars1,~mtcars %>% as_tibble)) %>%
mutate( res = map2(data,vars1,function(x,y){
x %>%
group_by(!!sym(y))
}))
我不明白!!sym(y)
有什么问题
感谢您的任何建议
我们可以使用可以接受字符串参数的group_by_at
。
library(tidyverse)
c("hp", "cyl") %>%
tibble() %>%
magrittr::set_colnames("vars1") %>%
mutate(data = map(vars1,~mtcars %>% as_tibble)) %>%
mutate(res = map2(data,vars1,function(x,y){
x %>%
group_by_at(y)
}))
# A tibble: 2 x 3
# vars1 data res
# <chr> <list> <list>
#1 hp <tibble [32 × 11]> <tibble [32 × 11]>
#2 cyl <tibble [32 × 11]> <tibble [32 × 11]>
如果我们将其作为一个独立的函数并将其应用于 map2
,则当前解决方案有效
sym_fun <- function(x, y) {
x %>% group_by(!!sym(y))
}
c("hp", "cyl") %>%
tibble() %>%
magrittr::set_colnames("vars1") %>%
mutate(data = map(vars1,~mtcars %>% as_tibble)) %>%
mutate(res = map2(data,vars1,sym_fun))
我想得到 2 data.frames,按列
进行差异分组c("hp", "cyl") %>%
tibble() %>%
magrittr::set_colnames("vars1") %>%
mutate(data = map(vars1,~mtcars %>% as_tibble)) %>%
mutate( res = map2(data,vars1,function(x,y){
x %>%
group_by(!!sym(y))
}))
我不明白!!sym(y)
有什么问题
感谢您的任何建议
我们可以使用可以接受字符串参数的group_by_at
。
library(tidyverse)
c("hp", "cyl") %>%
tibble() %>%
magrittr::set_colnames("vars1") %>%
mutate(data = map(vars1,~mtcars %>% as_tibble)) %>%
mutate(res = map2(data,vars1,function(x,y){
x %>%
group_by_at(y)
}))
# A tibble: 2 x 3
# vars1 data res
# <chr> <list> <list>
#1 hp <tibble [32 × 11]> <tibble [32 × 11]>
#2 cyl <tibble [32 × 11]> <tibble [32 × 11]>
如果我们将其作为一个独立的函数并将其应用于 map2
sym_fun <- function(x, y) {
x %>% group_by(!!sym(y))
}
c("hp", "cyl") %>%
tibble() %>%
magrittr::set_colnames("vars1") %>%
mutate(data = map(vars1,~mtcars %>% as_tibble)) %>%
mutate(res = map2(data,vars1,sym_fun))