使用quosure作为by参数连接数据集 [英] join datasets using a quosure as the by argument

查看:117
本文介绍了使用quosure作为by参数连接数据集的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我正在尝试编写一个自定义函数,该函数将使用quos作为参数将两个数据集连接到left_join()函数的 by = c()部分中。

I am trying to write a custom function that will join two datasets using a quosures as the arguments in the "by = c()" portion of the left_join() function.

这是我当前对函数的尝试,在 by = c(!! left_index = !! right_index))部分失败。 left_join期望将这些参数加引号,并用加引号将!!无效。

Here is my current attempt at the function, which fails at the "by = c(!!left_index = !!right_index))" portion. left_join expects these arguments to be quoted and quoting quosures nullifies the !!.

join_by_quosure <- function(data, left_index, var_to_impute, right_index){
  require(dplyr)

  left_index <- enquo(left_index)
  right_index <- enquo(right_index)
  var_to_impute <- enquo(var_to_impute)

  left_join(data, 
    data %>% select(!!right_index, !!var_to_impute),
    by = c(!!left_index = !!right_index))
}

我在下面编写了该函数的工作示例:

I have written this working example below of how the function would work:

# join_by_quosure(data = mtcars, left_index = vs, var_to_impute = mpg, right_index = am)

left_join(mtcars, 
          mtcars %>% select(am, mpg),
          by = c("vs" = "am"))

如果任何人都可以在left_join()函数的 by = c()部分中提供有关如何调用quasure的见解,我将非常感激。

If anyone can offer insight about how to call a quosure within the "by = c()" portion of the left_join() function I would be very grateful.

推荐答案

c()函数不支持Rlang爆炸因此您将不得不采用更传统的方法来构建参数。您可以

The c() function doesn't support the rlang bangs so you'll have to take a more traditional approach to building your parameter. You can do

join_by_quosure <- function(data, left_index, var_to_impute, right_index){
  require(dplyr)

  left_index <- enquo(left_index)
  right_index <- enquo(right_index)
  var_to_impute <- enquo(var_to_impute)

  by = set_names(quo_name(right_index), quo_name(left_index))

  left_join(data, 
            data %>% select(!!right_index, !!var_to_impute),
            by = by)
}

这篇关于使用quosure作为by参数连接数据集的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆