如何在dplyr::mutate()的RHS上使用动态变量?
是否可以在如何在dplyr::mutate()的RHS上使用动态变量?,r,dplyr,tidyverse,mutate,R,Dplyr,Tidyverse,Mutate,是否可以在dplyr::mutate()的RHS上使用动态变量 玩具示例: temp <- tibble( bl = c(1,2,3,4,5), fu = c(11,22,33,44,55) ) bl_var = "bl" replacement_var = "fu" # I want a dynamic version of this: temp %>% mutate(bl = fu) # Something like: temp %>% mutate(
dplyr::mutate()
的RHS上使用动态变量
玩具示例:
temp <- tibble(
bl = c(1,2,3,4,5),
fu = c(11,22,33,44,55)
)
bl_var = "bl"
replacement_var = "fu"
# I want a dynamic version of this:
temp %>%
mutate(bl = fu)
# Something like:
temp %>%
mutate(!!bl := !!fu)
由于它是一个字符串,我们可以转换为
sym
bol并计算(!!
)以获得对象的值
library(dplyr)
temp %>%
mutate(!!bl_var := !! rlang::sym(replacement_var))
# A tibble: 5 x 2
# bl fu
# <dbl> <dbl>
#1 11 11
#2 22 22
#3 33 33
#4 44 44
#5 55 55
或者使用map2
library(purrr)
map2_dfc(baseline, followup, ~ temp %>%
transmute(!! .y := !! rlang::sym(.x) * 5)) %>%
bind_cols(temp, .)
还有其他选项,如
\u at
和transmute\u at
或mutate\u at
或mutate/cross
可以将字符串作为列名谢谢!我在想,rlang
中的某些东西将是solution@Zian你的评论被打断了
library(stringr)
baseline <- str_c("x", 1:3, sep="_")
followup <- str_c("x_fu", 1:3, sep="_")
for(i in seq_along(baseline)) {
temp <- temp %>%
mutate(!! followup[i] := !! rlang::sym(baseline[i]) * 5)
}
library(purrr)
map2_dfc(baseline, followup, ~ temp %>%
transmute(!! .y := !! rlang::sym(.x) * 5)) %>%
bind_cols(temp, .)