EVOLUTION-MANAGER
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Call function with arguments in array or data frame,...</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="stylesheet" type="text/css" href="R.css" /> </head><body> <table width="100%" summary="page for maply {plyr}"><tr><td>maply {plyr}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Call function with arguments in array or data frame, returning an array.</h2> <h3>Description</h3> <p>Call a multi-argument function with values taken from columns of an data frame or array, and combine results into an array </p> <h3>Usage</h3> <pre> maply( .data, .fun = NULL, ..., .expand = TRUE, .progress = "none", .inform = FALSE, .drop = TRUE, .parallel = FALSE, .paropts = NULL ) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>.data</code></td> <td> <p>matrix or data frame to use as source of arguments</p> </td></tr> <tr valign="top"><td><code>.fun</code></td> <td> <p>function to apply to each piece</p> </td></tr> <tr valign="top"><td><code>...</code></td> <td> <p>other arguments passed on to <code>.fun</code></p> </td></tr> <tr valign="top"><td><code>.expand</code></td> <td> <p>should output be 1d (expand = FALSE), with an element for each row; or nd (expand = TRUE), with a dimension for each variable.</p> </td></tr> <tr valign="top"><td><code>.progress</code></td> <td> <p>name of the progress bar to use, see <code><a href="create_progress_bar.html">create_progress_bar</a></code></p> </td></tr> <tr valign="top"><td><code>.inform</code></td> <td> <p>produce informative error messages? This is turned off by default because it substantially slows processing speed, but is very useful for debugging</p> </td></tr> <tr valign="top"><td><code>.drop</code></td> <td> <p>should extra dimensions of length 1 in the output be dropped, simplifying the output. Defaults to <code>TRUE</code></p> </td></tr> <tr valign="top"><td><code>.parallel</code></td> <td> <p>if <code>TRUE</code>, apply function in parallel, using parallel backend provided by foreach</p> </td></tr> <tr valign="top"><td><code>.paropts</code></td> <td> <p>a list of additional options passed into the <code><a href="../../foreach/html/foreach.html">foreach</a></code> function when parallel computation is enabled. This is important if (for example) your code relies on external data or packages: use the <code>.export</code> and <code>.packages</code> arguments to supply them so that all cluster nodes have the correct environment set up for computing.</p> </td></tr> </table> <h3>Details</h3> <p>The <code>m*ply</code> functions are the <code>plyr</code> version of <code>mapply</code>, specialised according to the type of output they produce. These functions are just a convenient wrapper around <code>a*ply</code> with <code>margins = 1</code> and <code>.fun</code> wrapped in <code><a href="splat.html">splat</a></code>. </p> <h3>Value</h3> <p>if results are atomic with same type and dimensionality, a vector, matrix or array; otherwise, a list-array (a list with dimensions) </p> <h3>Input</h3> <p>Call a multi-argument function with values taken from columns of an data frame or array </p> <h3>Output</h3> <p>If there are no results, then this function will return a vector of length 0 (<code>vector()</code>). </p> <h3>References</h3> <p>Hadley Wickham (2011). The Split-Apply-Combine Strategy for Data Analysis. Journal of Statistical Software, 40(1), 1-29. <a href="https://www.jstatsoft.org/v40/i01/">https://www.jstatsoft.org/v40/i01/</a>. </p> <h3>See Also</h3> <p>Other multiple arguments input: <code><a href="m_ply.html">m_ply</a>()</code>, <code><a href="mdply.html">mdply</a>()</code>, <code><a href="mlply.html">mlply</a>()</code> </p> <p>Other array output: <code><a href="aaply.html">aaply</a>()</code>, <code><a href="daply.html">daply</a>()</code>, <code><a href="laply.html">laply</a>()</code> </p> <h3>Examples</h3> <pre> maply(cbind(mean = 1:5, sd = 1:5), rnorm, n = 5) maply(expand.grid(mean = 1:5, sd = 1:5), rnorm, n = 5) maply(cbind(1:5, 1:5), rnorm, n = 5) </pre> <hr /><div style="text-align: center;">[Package <em>plyr</em> version 1.8.7 <a href="00Index.html">Index</a>]</div> </body></html>