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R / dplyr /字符串中的复数过滤器

[英]R / dplyr / complex filter in function by string

I'm trying to hand over a filter with multiple arguments as a string to dplyr::filter within a function. 我正在尝试将具有多个参数的过滤器作为字符串传递给函数中的dplyr :: filter。 The answers I've seen so far all concern single filter argument, not multiple ones. 到目前为止,我所看到的答案都涉及单个过滤器参数,而不是多个过滤器参数。

Example: 例:

myfil <- function(df, fil) {
    quo_fil <- enquo(fil)
    df <- filter(df, !! quo_fil)
    df 
}

set.seed(25)
df <- data.frame(a = sample(10, 10), b = sample(10, 10), c = sample(10, 10))

#works
filter(df, a > 3 & b > 2 & c < 8)

  a  b c
1 5  4 1
2 7 10 5
3 9  5 2
4 6  6 3

# does not work
f <- "a > 3 & b > 2 & c < 8"

myfil(df, f)

The problem is not with the fact that you're using multiple conditions. 问题不在于您正在使用多个条件。 You can see that you get the same problem with only a single condition. 您可以看到只有一个条件就会遇到相同的问题。 The issue is that enquo expects a bare expression, not a string. 问题是enquo期望裸表达式而不是字符串。 So this returns the expected result: 因此,这将返回预期结果:

myfil(df, a > 3 & b > 2 & c < 8)

  a  b c
1 5  4 1
2 7 10 5
3 9  5 2
4 6  6 3

If you want to work with a string, you can use rlang::parse_expr to turn a string into an expression for !! 如果要使用字符串,可以使用rlang::parse_expr将字符串转换为!!的表达式!! to work with: 跟...共事:

myfil <- function(df, fil) {
  quo_fil <- rlang::parse_expr(fil)
  filter(df, !!quo_fil)
}

f <- "a > 3 & b > 2 & c < 8"
myfil(df, f)

  a  b c
1 5  4 1
2 7 10 5
3 9  5 2
4 6  6 3

Based on this answer you just pass normal string to filter_ function and it's work well. 根据答案,您只需将普通字符串传递给filter_函数即可,并且效果很好。

myfil <- function(df, fil) {
   df <- filter_(df, fil)
   df   
}

My result: 我的结果:

> myfil(df, 'a > 3 & b > 2 & c < 8')
  a b c
1 8 9 7

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