问题

You can achieve this by using the dplyr package in R and writing a custom function for the percentage-based anti-join. Here's the code to perform the desired operation:

library(dplyr)

# Custom anti-join function with percentage difference
antijoin_function <- function(tbl1, tbl2, by, pct) {
  tbl1 %>%
    anti_join(tbl2, by = by) %>%
    filter(if_any(starts_with("var"), ~is.numeric(.x) || is.character(.x)) |
             if_all(starts_with("var"), ~is.numeric(.x) || is.character(.x) || (.x %in% tbl2[[.y]] * (1 + pct) | .x %in% tbl2[[.y]] * (1 - pct))))
}

# Define the data frames
tbl1 <- tibble(var1 = c('r1', 'r2', 'r3', 'r4', 'r5'),
               var2 = c('apple', 'orange', 'banana', 'strawberry', 'lime'),
               var3 = c(1, 2, 3, 4, 5),
               var4 = c('yes', 'no', 'yes', 'yes', 'no'))

tbl2 <- tibble(var1 = c('r6', 'r7', 'r8', 'r9', 'r10'),
               var2 = c('orange', 'banana', 'apple', 'lemon', 'strawberry'),
               var3 = c(2, 3, 1.5, 10, 4.1),
               var4 = c('no', 'yes', 'yes', 'no', 'yes'))

# Use the custom anti-join function
result <- antijoin_function(tbl1, tbl2, by = c('var2' = 'var2', 'var3' = 'var3', 'var4' = 'var4'), pct = 0.2)
result

This code defines the custom antijoin_function that performs the anti-join operation with a percentage difference for numeric columns. It filters rows based on the specified percentage difference and returns the desired result.

tbl1 <- tibble(var1 = c('r1', 'r2', 'r3', 'r4', 'r5'),
               var2 = c('apple', 'orange', 'banana', 'strawberry', 'lime'),
               var3 = c(1, 2, 3, 4, 5),
               var4 = c('yes', 'no', 'yes', 'yes', 'no'))

tbl2 <- tibble(var1 = c('r6', 'r7', 'r8', 'r9', 'r10'),
               var2 = c('orange', 'banana', 'apple', 'lemon', 'strawberry'),
               var3 = c(2, 3, 1.5, 10, 4.1),
               var4 = c('no', 'yes', 'yes', 'no', 'yes'))

tbl1 %>%
  antijoin_function(tbl2, by = c('var2' = 'var2', 'var3' = 'var3', 'var4' = 'var4'),
                    pct = 0.2)

答案1

得分: 1

library(dplyr)

使用full_join函数将tbl1和tbl2按"var2"列连接，添加后缀为""和".right"。
然后使用filter函数，筛选满足条件abs(var3 - var3.right)/var3 > 0.2 | if_all(contains(".right"), ~ is.na(.))的行。
最后使用select函数，移除包含".right"的列。

#> # A tibble: 2 × 4
#>   var1  var2   var3 var4 
#>   <chr> <chr> <dbl> <chr>
#> 1 r1    apple     1 yes  
#> 2 r5    lime      5 no

^{创建于2023-05-22，使用reprex v2.0.2}

<details>
<summary>英文:</summary>

``` r
library(dplyr)

full_join(tbl1, tbl2, by = c(&quot;var2&quot; = &quot;var2&quot;), suffix = c(&quot;&quot;, &quot;.right&quot;)) %&gt;% 
  filter(abs(var3 - var3.right)/var3 &gt; 0.2 | if_all(contains(&quot;.right&quot;), ~ is.na(.))) %&gt;% 
  select(-contains(&quot;.right&quot;))

#&gt; # A tibble: 2 &#215; 4
#&gt;   var1  var2   var3 var4 
#&gt;   &lt;chr&gt; &lt;chr&gt; &lt;dbl&gt; &lt;chr&gt;
#&gt; 1 r1    apple     1 yes  
#&gt; 2 r5    lime      5 no

^{Created on 2023-05-22 with reprex v2.0.2}