transmute.dtplyr_step

This is a method for the dplyr <code>transmute()</code> generic. It is translated to
the <code>j</code> argument of <code>[.data.table</code>.

Provides a data.table backend for 'dplyr'. The goal of
'dtplyr' is to allow you to write 'dplyr' code that is automatically
translated to the equivalent, but usually much faster, data.table
code.

Hadley Wickham

dtplyr

Data Table Back-End for 'dplyr'

Maximilian Girlich

Mark Fairbanks

Ryan Dickerson

Posit Software, PBC 

transmute.dtplyr_step function

<dl><dt>.data</dt>
<dd>A <code>lazy_dt()</code>.</dd>
<dt>...</dt>
<dd>&lt;<code><a href="https://dplyr.tidyverse.org/reference/dplyr_data_masking.html">data-masking</a></code>&gt; Name-value pairs.
The name gives the name of the column in the output.
The value can be:<ul>
<li>A vector of length 1, which will be recycled to the correct length.</li>
<li>A vector the same length as the current group (or the whole data frame
if ungrouped).</li>
<li><code>NULL</code>, to remove the column.</li>
<li>A data frame or tibble, to create multiple columns in the output.</li>
</ul></dd></dl>

Arguments

Create new columns, dropping old — transmute.dtplyr_step

<dl>

<dt>.data</dt>
<dd>A <code>lazy_dt()</code>.</dd>


<dt>...</dt>
<dd>&lt;<code><a href='https://dplyr.tidyverse.org/reference/dplyr_data_masking.html'>data-masking</a></code>&gt; Name-value pairs.
The name gives the name of the column in the output.
The value can be:<ul>
<li>A vector of length 1, which will be recycled to the correct length.</li>
<li>A vector the same length as the current group (or the whole data frame
if ungrouped).</li>
<li><code>NULL</code>, to remove the column.</li>
<li>A data frame or tibble, to create multiple columns in the output.</li>
</ul></dd>

</dl>

transmute.dtplyr_step: Create new columns, dropping old

Description

Usage

Arguments

Examples