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>Join keys.
Given two data frames, create a unique key for each row.
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>data frame</p>
</td>
</tr>
<tr valign="top">
<td><code>y</code></td>
<td>
<p>data frame</p>
</td>
</tr>
<tr valign="top">
<td><code>by</code></td>
<td>
<p>character vector of variable names to join by</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#plyr-1.8.6#docs#join.keys

join.keys

Description

Usage

Arguments

plyr

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`x`	data frame
`y`	data frame
`by`	character vector of variable names to join by