f_rowwise

fastplyr currently cannot handle <code>rowwise_df</code> objects created through
<code><a href="https://dplyr.tidyverse.org/reference/rowwise.html">dplyr::rowwise()</a></code> and so this is a convenience function to allow you to
perform row-wise operations.
For common efficient row-wise functions,
see the 'kit' package.

A full set of fast data manipulation tools with a tidy
front-end and a fast back-end using 'collapse' and 'cheapr'.

Nick Christofides

fastplyr

Fast Alternatives to 'tidyverse' Functions

f_rowwise function

<dl><dt>data</dt>
<dd>data frame.</dd>
<dt>...</dt>
<dd>Variables to group by using <code>tidyselect</code>.</dd>
<dt>.ascending</dt>
<dd>Should data be grouped in ascending row-wise order?
Default is <code>TRUE</code>.</dd>
<dt>.cols</dt>
<dd>(Optional) alternative to <code>...</code> that accepts
a named character vector or numeric vector.
If speed is an expensive resource, it is recommended to use this.</dd>
<dt>.name</dt>
<dd>Name of row-id column to be added.</dd></dl>

Arguments

fastplyr currently cannot handle <code>rowwise_df</code> objects created through
<code><a href='https://dplyr.tidyverse.org/reference/rowwise.html'>dplyr::rowwise()</a></code> and so this is a convenience function to allow you to
perform row-wise operations.
For common efficient row-wise functions,
see the 'kit' package.

A convenience function to group by every row — f_rowwise

<dl>

<dt>data</dt>
<dd>data frame.</dd>


<dt>...</dt>
<dd>Variables to group by using <code>tidyselect</code>.</dd>


<dt>.ascending</dt>
<dd>Should data be grouped in ascending row-wise order?
Default is <code>TRUE</code>.</dd>


<dt>.cols</dt>
<dd>(Optional) alternative to <code>...</code> that accepts
a named character vector or numeric vector.
If speed is an expensive resource, it is recommended to use this.</dd>


<dt>.name</dt>
<dd>Name of row-id column to be added.</dd>

</dl>

f_rowwise: A convenience function to group by every row

Description

Usage

Value

Arguments