fast_aggregate

This is a convenience wrapper for aggregating your data using dplyr functions that tend to be much faster than the
usual <code><a href="/link/stats%3A%3Aaggregate()?package=papaja&version=0.1.2" data-mini-rdoc="papaja::stats::aggregate()">stats::aggregate()</a></code> command. It is also easy to call from within a function. This function is not exported.

internal

Tools to create dynamic, submission-ready manuscripts, which
conform to American Psychological Association manuscript guidelines. We
provide R Markdown document formats for manuscripts (PDF and Word) and
revision letters (PDF). Helper functions facilitate reporting statistical
analyses or create publication-ready tables and plots.

Frederik Aust

papaja

Prepare American Psychological Association Journal Articles with
R Markdown

Marius Barth

Birk Diedenhofen

Christoph Stahl

Joseph V. Casillas

Rudolf Siegel

fast_aggregate function

<dl><dt>data</dt>
<dd>A <code>data.frame</code> that contains the data.</dd>
<dt>factors</dt>
<dd>Character. A vector of factor names to aggregate data by.</dd>
<dt>dv</dt>
<dd>Character. The dependent variable to aggregate. All variables in <code>data</code> that contain this character string
will be aggregated separately.</dd>
<dt>fun</dt>
<dd>Closure. The function used for aggregation.</dd></dl>

Arguments

This is a convenience wrapper for aggregating your data using dplyr functions that tend to be much faster than the
usual <code><a href='https://rdrr.io/r/stats/aggregate.html'>stats::aggregate()</a></code> command. It is also easy to call from within a function. This function is not exported.

Aggregate data much faster using dplyr — fast_aggregate

<dl>

<dt>data</dt>
<dd>A <code>data.frame</code> that contains the data.</dd>


<dt>factors</dt>
<dd>Character. A vector of factor names to aggregate data by.</dd>


<dt>dv</dt>
<dd>Character. The dependent variable to aggregate. All variables in <code>data</code> that contain this character string
will be aggregated separately.</dd>


<dt>fun</dt>
<dd>Closure. The function used for aggregation.</dd>

</dl>

fast_aggregate: Aggregate data much faster using dplyr

Description

Usage

Arguments