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>An optimised version of lapply for the special case of operating on
<code>seq_len(n)</code>
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>n</code></td>
<td>
<p>length of sequence</p>
</td>
</tr>
<tr valign="top">
<td><code>f</code></td>
<td>
<p>function to apply to each integer</p>
</td>
</tr>
<tr valign="top">
<td><code>env</code></td>
<td>
<p>environment in which to evaluate function</p>
</td>
</tr>
</table>

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

loop_apply

Description

Usage

Arguments

plyr

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`n`	length of sequence
`f`	function to apply to each integer
`env`	environment in which to evaluate function