separate_tidy: Separate a column into multiple columns
In gcplyr: Wrangle and Analyze Growth Curve Data

separate_tidy

R Documentation

Separate a column into multiple columns

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

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

`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 `string`s matching any of `na.strings` will be coerced into `NA` values after separating.
`na.strings`	A `character` `vector` of `string`s 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