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>Apply with built in try.
Uses compact, lapply and tryNULL
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>list</code></td>
<td>
<p>list to apply function <code>f</code> on</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>further arguments to <code>f</code></p>
</td>
</tr>
<tr valign="top">
<td><code>f</code></td>
<td>
<p>function</p>
</td>
</tr>
</table>

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

`list`	list to apply function `f` on
`...`	further arguments to `f`
`f`	function

tryapply

Description

Usage

Arguments

plyr

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