Convenience function to paste together multiple columns into one.
unite(.df, col = ".united", ..., sep = "_", remove = TRUE, na.rm = FALSE)
A data.frame or data.table
Name of the new column, as a string.
Selection of columns. If empty all variables are selected.
tidyselect
compatible.
Separator to use between values
If TRUE, removes input columns from the data.table.
If TRUE, NA values will be not be part of the concatenation
df <- tidytable(
a = c("a", "a", "a"),
b = c("b", "b", "b"),
c = c("c", "c", NA)
)
df %>%
unite("new_col", b, c)
#> # A tidytable: 3 × 2
#> a new_col
#> <chr> <chr>
#> 1 a b_c
#> 2 a b_c
#> 3 a b_NA
df %>%
unite("new_col", where(is.character))
#> # A tidytable: 3 × 1
#> new_col
#> <chr>
#> 1 a_b_c
#> 2 a_b_c
#> 3 a_b_NA
df %>%
unite("new_col", b, c, remove = FALSE)
#> # A tidytable: 3 × 4
#> a new_col b c
#> <chr> <chr> <chr> <chr>
#> 1 a b_c b c
#> 2 a b_c b c
#> 3 a b_NA b NA
df %>%
unite("new_col", b, c, na.rm = TRUE)
#> # A tidytable: 3 × 2
#> a new_col
#> <chr> <chr>
#> 1 a b_c
#> 2 a b_c
#> 3 a b
df %>%
unite()
#> # A tidytable: 3 × 1
#> .united
#> <chr>
#> 1 a_b_c
#> 2 a_b_c
#> 3 a_b_NA