separate_(data, col, into, sep = "[^[:alnum:]]+", remove = TRUE,
convert = FALSE, extra = "warn", fill = "warn", ...)
Arguments
data
A data frame.
col
Name of column to split, as string.
into
Names of new variables to create as character vector.
sep
Separator between columns.
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.
remove
If TRUE, remove input column from output data frame.
convert
If TRUE, will run type.convert with
as.is = TRUE on new columns. This is useful if the component
columns are integer, numeric or logical.
extra
If sep is a character vector, this controls what
happens when there are too many pieces. There are three valid options:
"warn" (the default): emit a warning and drop extra values.
"drop": drop any extra values without a warning.
"merge": only splits at most length(into) times
fill
If sep is a character vector, this controls what
happens when there are not enough pieces. There are three valid options:
"warn" (the default): emit a warning and fill from the right
"right": fill with missing values on the right
"left": fill with missing values on the left
...
Defunct, will be removed in the next version of the package.