Separate a column into multiple columns

This function is primarily a wrapper for separate, which turns a single character column into multiple columns

Usage

separate_tidy(
  data,
  col,
  into = NULL,
  sep = "_",
  coerce_NA = TRUE,
  na.strings = "NA",
  message_inferred_into = TRUE,
  ...
)

Arguments

data

A data frame

col

Column name or position

into

A character vector of the new column names. Use NA to omit the variable in the output.

If NULL, separate_tidy will attempt to infer the new column names by splitting the column name of col

sep

Separator between columns passed to separate:

If character, sep is interpreted as a regular expression.

If numeric, sep is interpreted as character positions to split at. Positive values start at 1 at the far-left of the string; negative values start at -1 at the far-right of the string. The length of sep should be one less than into

coerce_NA

logical dictating if strings matching any of na.strings will be coerced into NA values after separating.

na.strings

A character vector of strings which are to be interpreted as NA values if coerce_NA == TRUE

message_inferred_into

logical whether column names for into should be printed in a message when inferred

...

Other arguments passed to separate

Value

A data frame containing new columns in the place of col