separate_

data

Names of new variables to create as character vector.

into

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 st

If <code>TRUE</code>, remove input column from output data frame.

remove

If <code>TRUE</code>, will run <code><a href="/link/type.convert?package=tidyr&version=0.1" rd-options="" data-mini-rdoc="tidyr::type.convert">type.convert</a></code> with
<code>as.is = TRUE</code> on new columns. This is useful if the component
columns are integer, numeric or logical.

convert

Other arguments passed on to <code><a href="/link/strsplit?package=tidyr&version=0.1" rd-options="" data-mini-rdoc="tidyr::strsplit">strsplit</a></code> to control
how the regular expression is processed.

internal

tidyr is an evolution of reshape2. It's design specifically for
    data tidying (not general reshaping or aggregating) and works well with
    dplyr data pipelines.

separate_: Standard-evaluation version of `separate`.

Description

Usage

Arguments