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If you use separate_wider_* on a data frame with row names, the resulting data frame won't have row names anymore. Since documentation states that rows are not affected by this function, I suppose that this is an unwanted behavior.
library(tidyverse)
df<-data.frame(
row.names=letters[1:3],
col_to_separate= paste(LETTERS[1:3], LETTERS[1:3], sep="-")
)
df#> col_to_separate#> a A-A#> b B-B#> c C-Cdf %>%
separate_wider_delim(
col_to_separate,
delim="-",
names= paste0("C", 1:2)
)
#> # A tibble: 3 × 2#> C1 C2 #> <chr> <chr>#> 1 A A #> 2 B B #> 3 C Cdf %>%
separate_wider_position(
col_to_separate,
widths= c(C1=1, 1, C2=1)
)
#> # A tibble: 3 × 2#> C1 C2 #> <chr> <chr>#> 1 A A #> 2 B B #> 3 C Cdf %>%
separate_wider_regex(
col_to_separate,
patterns= c(C1=".", ".", C2=".")
)
#> # A tibble: 3 × 2#> C1 C2 #> <chr> <chr>#> 1 A A #> 2 B B #> 3 C C
If you use
separate_wider_*
on a data frame with row names, the resulting data frame won't have row names anymore. Since documentation states that rows are not affected by this function, I suppose that this is an unwanted behavior.Created on 2023-05-24 with reprex v2.0.2
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