【发布时间】:2023-08-04 02:56:01
【问题描述】:
我在使用 dplyr 重命名函数中的列时遇到困难。我已经找到了关于非标准评估和 enquo 使用的有用帖子(例如,http://dplyr.tidyverse.org/articles/programming.html 和 Changing names of resulting variables in custom dplyr function)。最终目标是使用该函数汇总每个组,然后将列重命名为比原始变量名称更有意义的名称。
这是一个简单的示例,除了注释掉的行之外,它都有效。
library(tidyverse)
myfunc <- function(df, groupvar, colvar, grouplab, collab) {
groupvar <- enquo(groupvar)
colvar <- enquo(colvar)
grouplab <- enquo(grouplab) # quo_name instead?
collab <- enquo(collab) # quo_name instead?
t <- df %>%
select(!!groupvar, !!colvar) %>%
group_by(!!groupvar, !!colvar) %>%
summarise(
Frequencies = length(!!colvar),
Percentages = length(!!colvar) / nrow(df)
) %>%
mutate(
Frequencies = scales::comma(Frequencies),
Percentages = scales::percent(Percentages)
) #%>%
# rename(
# (!!grouplab) = !!groupvar, # add a more descriptive grouping var label
# (!!collab) = !!colvar) # add a more descriptive column var label
# Error: unexpected '=' in: rename((!!grouplab) = "
... # code to create an xtable, print it into LaTeX
}
myfunc <- (df = mtcars, groupvar = gear, colvar = cyl, grouplab = "Vehicle Gears", collab = "Vehicle Cylinders")
# I purposely made grouplab and collab have a space in case that changes anything.
在函数之外,相关部分可以简单地写成:mtcars <- mtcars %>% rename("Vehicle Cylinders" = cyl, "Vehicle Gears" = gear)
我一定对重命名在函数内部和外部的操作方式感到困惑。有什么建议吗?我愿意接受建议。
更新
这是一种方法。我宁愿不把变量名放在字符串中,但不知道这里有什么办法。接受建议。
library(tidyverse)
library(xtable)
data(mtcars)
t_groupedfreqprop <- function(df, groupvar, colvar, grouplab, collab, plotname) {
groupvar2 <- rlang::sym(groupvar)
colvar2 <- rlang::sym(colvar)
grouplab <- rlang::sym(grouplab)
collab <- rlang::sym(collab)
t <- df %>%
select(!!groupvar2, !!colvar2) %>%
group_by(!!groupvar2, !!colvar2) %>%
summarise(
Frequencies = length(!!colvar2),
Percentages = length(!!colvar2) / nrow(df)
) %>%
mutate(
Frequencies = scales::comma(Frequencies),
Percentages = scales::percent(Percentages)
) %>%
rename(
!!grouplab := !!rlang::sym(groupvar2),
!!collab := !!rlang::sym(colvar2)
)
# remainder of function removed
}
t_groupedfreqprop(df = mtcars, groupvar = "gear", colvar = "cyl", grouplab = "Vehicle Gears", collab = "Vehicle Cylinders")
【问题讨论】:
标签: r function dplyr nse rlang