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>Create data frame giving labels for split data frame.
</p>

split_labels(splits, drop, id = plyr::id(splits, drop = TRUE))

<table summary="R argblock">
<tr valign="top">
<td><code>list</code></td>
<td>
<p>of variables to split up by</p>
</td>
</tr>
<tr valign="top">
<td><code>whether</code></td>
<td>
<p>all possible combinations should be considered, or only those present in the data</p>
</td>
</tr>
</table>

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

split_labels

Description

Usage

Arguments

plyr

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`list`	of variables to split up by
`whether`	all possible combinations should be considered, or only those present in the data