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>Transform a vector into a format that will be sorted in descending order.
</p>

<table summary="R argblock"><tr valign="top">
<td><code>x</code></td>
<td>
<p>vector to transform</p>
</td>
</tr></table>

desc(1:10)
desc(factor(letters))
first_day <- seq(as.Date("1910/1/1"), as.Date("1920/1/1"), "years")
desc(first_day)

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

desc

Description

Usage

Arguments

Examples

plyr

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