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 st
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:
sep
is a character vector, this controls what
happens when there are not enough pieces. There are three valid options:
strsplit
to control
how the regular expression is processed.