A set of tools that solves a common set of
problems: you need to break a big problem down into manageable pieces,
operate on each piece and then put all the pieces back together.  For
example, you might want to fit a model to each spatial location or
time point in your study, summarise data by panels or collapse
high-dimensional arrays to simpler summary statistics. The development
of 'plyr' has been generously supported by 'Becton Dickinson'.

Tools for Splitting, Applying and Combining Data

package-ubuntu-20.04-r-4.0.5#cran#plyr-1.8.6

<p>Reduce/simplify a list of homogenous objects to a vector
</p>

<table summary="R argblock"><tr valign="top">
<td><code>res</code></td>
<td>
<p>list of input data</p>
</td>
</tr></table>

<p>Other list simplification functions: 
<code><a href="list_to_array.html">list_to_array</a>()</code>,
<code><a href="list_to_dataframe.html">list_to_dataframe</a>()</code>
</p>

package-ubuntu-20.04-r-4.0.5#cran#plyr-1.8.6#docs#list_to_vector

list_to_vector

Description

Usage

Arguments

See Also

plyr

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