separate_wider_regex: Separate a character column into multiple columns using regex...

In tidytable: Tidy Interface to 'data.table'

Separate a character column into multiple columns using regex patterns

Description

Separate a character column into multiple columns using regex patterns

Usage

separate_wider_regex(
  .df,
  cols,
  patterns,
  ...,
  names_sep = NULL,
  names_repair = "check_unique",
  too_few = "error",
  cols_remove = TRUE
)

Arguments

.df	A data frame
cols	Columns to separate
patterns	patterns
...	These dots are for future extensions and must be empty.
names_sep	Names separator
names_repair	Treatment of duplicate names. See ?vctrs::vec_as_names for options/details.
too_few	What to do when too few column names are supplied
cols_remove	Should old columns be removed

Examples

df <- tidytable(id = 1:3, x = c("m-123", "f-455", "f-123"))

df %>%
  separate_wider_regex(x, c(gender = ".", ".", unit = "\\d+"))

tidytable documentation built on Sept. 11, 2024, 8:05 p.m.