This is a S3 generic.

separate_(data, col, into, sep = "[^[:alnum:]]+", remove = TRUE,
convert = FALSE, extra = "warn", fill = "warn", ...)

## Arguments

data A data frame. Name of column to split, as string. Names of new variables to create as character vector. 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. If TRUE, remove input column from output data frame. 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. 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 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.