英文:
Return anti-join of two data frames with values outside a certain percentage difference
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 differenceantijoin_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 framestbl1 <- 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 functionresult <- 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.
英文:
I would like to compare two mixed-type data frames and return the rows that are different between them--but I would like numeric values to only be returned within a certain percentage.
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'))
I know there is dplyr::anti_join but that checks for exact matches. So if I was OK with numeric values that were within 20%, then the function would be something like:
tbl1 %>%antijoin_function(tbl2, by = c('var2' = 'var2', 'var3' = 'var3', 'var4' = 'var4'),pct = 0.2)
And return
| var1 | var2 | var3 | var4 |
|---|---|---|---|
| r1 | apple | 1 | yes |
| r5 | lime | 5 | no |
The row with strawberry would not be returned because the single difference in var3 is less than 20%.
Are there any functions or packages that do this?
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>``` rlibrary(dplyr)full_join(tbl1, tbl2, by = c("var2" = "var2"), suffix = c("", ".right")) %>%filter(abs(var3 - var3.right)/var3 > 0.2 | if_all(contains(".right"), ~ is.na(.))) %>%select(-contains(".right"))#> # A tibble: 2 × 4#> var1 var2 var3 var4#> <chr> <chr> <dbl> <chr>#> 1 r1 apple 1 yes#> 2 r5 lime 5 no
<sup>Created on 2023-05-22 with reprex v2.0.2</sup>
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