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>Evaluates quoted variables in specified environment
</p>

eval.quoted(exprs, envir = NULL, enclos = NULL, try = FALSE)

<table summary="R argblock">
<tr valign="top">
<td><code>try</code></td>
<td>
<p>if TRUE, return <code>NULL</code> if evaluation unsuccesful</p>
</td>
</tr>
<tr valign="top">
<td><code>expr</code></td>
<td>
<p>quoted object to evalution</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#plyr-1.8.6#docs#eval.quoted

`try`	if TRUE, return `NULL` if evaluation unsuccesful
`expr`	quoted object to evalution

eval.quoted

Description

Usage

Arguments

Value

plyr

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