separate.separate_(data, col, into, sep = "[^[:alnum:]]+", remove = TRUE, convert = FALSE, extra = "warn", fill = "warn", ...)If character, is interpreted as a regular expression. The default value is a regular expression that matches any sequence of non-alphanumeric values.
If numeric, interpreted as positions to split at. Positive values start
at 1 at the far-left of the string; negative value start at -1 at the
far-right of the string. The length of sep should be one less than
into.
TRUE, remove input column from output data frame.TRUE, will run type.convert with
as.is = TRUE on new columns. This is useful if the component
columns are integer, numeric or logical.sep is a character vector, this controls what
happens when there are too many pieces. There are three valid options:
length(into) times
sep is a character vector, this controls what
happens when there are not enough pieces. There are three valid options: