我想创建一个将使用summarise_和group_by_功能的简单函数.我知道非标准评估存在问题,但我可以解决它.
library(dplyr)
test_function <- function(.data, ..., variable){
dots <- quote(mean(substitute(variable)))
group_by_(.data,.dots = lazyeval::lazy_dots(...)) %>%
summarise_(.dots = dots)
}
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但是,当我尝试这个:
test_function(ggplot2::diamonds, cut, clarity, variable = price)
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这是行不通的.
谢谢,
你的问题是你的问题quote().报价正在逃避,substitute()所以它没有按照你想要的方式运行.如果您bquote()改为使用,则可以调整替换并将结果插入表达式以获得所需内容
test_function <- function(.data, ..., variable){
dots <- bquote(mean(.(substitute(variable))))
group_by_(.data,.dots = lazyeval::lazy_dots(...)) %>%
summarise_(.dots = dots)
}
test_function(diamonds, cut, clarity, variable = price)
# Source: local data frame [40 x 3]
# Groups: cut
#
# cut clarity mean(price)
# 1 Fair I1 3703.533
# 2 Fair SI2 5173.916
# 3 Fair SI1 4208.279
# 4 Fair VS2 4174.724
# 5 Fair VS1 4165.141
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