如何解决R：如何匹配或过滤具有相同字符串但顺序不同的变量？
我有一个数据集，其中包含两个由全名（姓名和姓氏）组成的变量。但是，这两个变量的顺序不同：
-
variable1由 排序
-
variable2由 排序
如何过滤行，使variable1 = variable2？还是可以修改变量2的顺序以匹配变量1的顺序？
我创建了一个小样本来复制数据集（注意，一些全名包含3个或更多的单词）：
library(tidyverse)
name_surname <- c("John Smith One","Jane Smith Two","John Doe","Nick Doe","Chris Froome","Van den Broeck","Lance","Van Dae Le Phillipe")
surname_name <- c("Smith One John","Smith Two Jane","Doe John","Froome Chris","Broeck Van den","Phillipe Van Dae Le")
tibble <- tibble(variable1 = name_surname,variable2 = surname_name)
tibble
#> # A tibble: 8 x 2
#> variable1 variable2
#> <chr> <chr>
#> 1 John Smith One Smith One John
#> 2 Jane Smith Two Smith Two Jane
#> 3 John Doe Doe John
#> 4 Nick Doe Nick Doe
#> 5 Chris Froome Froome Chris
#> 6 Van den Broeck Broeck Van den
#> 7 Lance Lance
#> 8 Van Dae Le Phillipe Phillipe Van Dae Le
由reprex package（v0.3.0）于2020-08-25创建
会话信息devtools::session_info()
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解决方法
根据variable2在空间和顺序variable1上拆分变量。
tibble$variable3 <- mapply(function(x,y) paste(y[match(x,y)],collapse = " "),strsplit(tibble$variable1,'\\s+'),strsplit(tibble$variable2,'\\s+'))
tibble
# A tibble: 8 x 3
# variable1 variable2 variable3
# <chr> <chr> <chr>
#1 John Smith One Smith One John John Smith One
#2 Jane Smith Two Smith Two Jane Jane Smith Two
#3 John Doe Doe John John Doe
#4 Nick Doe Nick Doe Nick Doe
#5 Chris Froome Froome Chris Chris Froome
#6 Van den Broeck Broeck Van den Van den Broeck
#7 Lance Lance Lance
#8 Van Dae Le Phillipe Phillipe Van Dae Le Van Dae Le Phillipe
出于比较目的创建了新变量（variable3），如果需要，您可以在variable2中覆盖tibble。
与@Ronak Shah相似的逻辑，但是使用dplyr和tidyr：
tibble %>%
rowid_to_column() %>%
separate_rows(variable1,variable2) %>%
group_by(rowid) %>%
mutate(variable2 = variable2[match(variable1,variable2)]) %>%
summarise(across(starts_with("variable"),paste,collapse = " "))
rowid variable1 variable2
<int> <chr> <chr>
1 1 John Smith One John Smith One
2 2 Jane Smith Two Jane Smith Two
3 3 John Doe John Doe
4 4 Nick Doe Nick Doe
5 5 Chris Froome Chris Froome
6 6 Van den Broeck Van den Broeck
7 7 Lance Lance
8 8 Van Dae Le Phillipe Van Dae Le Phillipe
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