EVOLUTION-MANAGER
Edit File: groupclusteredheatmap.html
<!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: Retrieving groups of traits after clustering</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 groupclusteredheatmap {qtl}"><tr><td>groupclusteredheatmap {qtl}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Retrieving groups of traits after clustering</h2> <h3>Description</h3> <p>Retrieving groups of clustered traits from the output of mqmplot.clusteredheatmap. </p> <h3>Usage</h3> <pre> groupclusteredheatmap(cross, clusteredheatmapresult, height) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>cross</code></td> <td> <p>An object of class <code>cross</code>. See <code><a href="read.cross.html">read.cross</a></code> for details. </p> </td></tr> <tr valign="top"><td><code>clusteredheatmapresult</code></td> <td> <p> Resultint dendrogram object from <code><a href="mqmplotclusteredheatmap.html">mqmplot.clusteredheatmap</a></code> </p> </td></tr> <tr valign="top"><td><code>height</code></td> <td> <p> Height at which to 'cut' the dendrogram, a higher cut-off gives less but larger groups. Height represents the maximum distance between two traits clustered together using hclust. the 'normal' behaviour of bigger groups when using a higher heigh cut-off depends on the tree stucture and the amount of traits clustered using <code><a href="mqmplotclusteredheatmap.html">mqmplot.clusteredheatmap</a></code> </p> </td></tr> </table> <h3>Value</h3> <p>A list containing groups of traits which were clustered together with a distance less that <code>height</code> </p> <h3>Author(s)</h3> <p>Danny Arends <a href="mailto:danny.arends@gmail.com">danny.arends@gmail.com</a> </p> <h3>See Also</h3> <ul> <li><p> The MQM tutorial: <a href="https://rqtl.org/tutorials/MQM-tour.pdf">https://rqtl.org/tutorials/MQM-tour.pdf</a> </p> </li> <li> <p><code><a href="MQM.html">MQM</a></code> - MQM description and references </p> </li> <li> <p><code><a href="mqmscan.html">mqmscan</a></code> - Main MQM single trait analysis </p> </li> <li> <p><code><a href="mqmscanall.html">mqmscanall</a></code> - Parallellized traits analysis </p> </li> <li> <p><code><a href="mqmaugment.html">mqmaugment</a></code> - Augmentation routine for estimating missing data </p> </li> <li> <p><code><a href="mqmautocofactors.html">mqmautocofactors</a></code> - Set cofactors using marker density </p> </li> <li> <p><code><a href="mqmsetcofactors.html">mqmsetcofactors</a></code> - Set cofactors at fixed locations </p> </li> <li> <p><code><a href="mqmpermutation.html">mqmpermutation</a></code> - Estimate significance levels </p> </li> <li> <p><code><a href="scanone.html">scanone</a></code> - Single QTL scanning </p> </li></ul> <h3>Examples</h3> <pre> data(multitrait) multitrait <- fill.geno(multitrait) # impute missing genotype data result <- mqmscanall(multitrait, logtransform=TRUE) cresults <- mqmplot.clusteredheatmap(multitrait,result) groupclusteredheatmap(multitrait,cresults,10) </pre> <hr /><div style="text-align: center;">[Package <em>qtl</em> version 1.46-2 <a href="00Index.html">Index</a>]</div> </body></html>