separate_dt: Separate a character column into two columns using a regular...

In hope-data-science/tidyfst: Tidy Verbs for Fast Data Manipulation

Separate a character column into two columns using a regular expression separator

Description

Given either regular expression, separate_dt() turns a single character column into two columns.

Usage

separate_dt(
  .data,
  separated_colname,
  into,
  sep = "[^[:alnum:]]+",
  remove = TRUE
)

Arguments

.data	A data frame.
separated_colname	Column to be separated, can be a character or alias.
into	Character vector of length 2.
sep	Separator between columns.
remove	If TRUE, remove input column from output data frame.

See Also

separate, unite_dt

Examples

df <- data.frame(x = c(NA, "a.b", "a.d", "b.c"))
df %>% separate_dt(x, c("A", "B"))
# equals to
df %>% separate_dt("x", c("A", "B"))

# If you just want the second variable:
df %>% separate_dt(x,into = c(NA,"B"))

hope-data-science/tidyfst documentation built on Sept. 23, 2024, 8:05 p.m.