EVOLUTION-MANAGER
Edit File: summary.scantwo.old.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: Summarize the results of a two-dimensional genome scan</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 summaryScantwoOld {qtl}"><tr><td>summaryScantwoOld {qtl}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Summarize the results of a two-dimensional genome scan</h2> <h3>Description</h3> <p>Summarize the interesting aspects of the results of <code><a href="scantwo.html">scantwo</a></code>; this is the version of <code><a href="summary.scantwo.html">summary.scantwo</a></code> that was included in R/qtl version 1.03 and earlier. </p> <h3>Usage</h3> <pre> summaryScantwoOld(object, thresholds = c(0, 0, 0), lodcolumn=1, type = c("joint","interaction"), ...) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>object</code></td> <td> <p>An object of class <code>scantwo</code>, the output of the function <code><a href="scantwo.html">scantwo</a></code>.</p> </td></tr> <tr valign="top"><td><code>thresholds</code></td> <td> <p>A vector of length three, giving LOD thresholds for the joint LOD, interaction LOD and single-QTL conditional LOD. Negative threshold values are taken relative to the maximum joint, interaction, or individual QTL LOD, respectively.</p> </td></tr> <tr valign="top"><td><code>lodcolumn</code></td> <td> <p>If the scantwo results contain LOD scores for multiple phenotypes, this argument indicates which to use in the summary.</p> </td></tr> <tr valign="top"><td><code>type</code></td> <td> <p>Indicates whether to pick peaks with maximal joint or interaction LOD.</p> </td></tr> <tr valign="top"><td><code>...</code></td> <td> <p>Ignored at this point.</p> </td></tr> </table> <h3>Details</h3> <p>For each pair of chromosomes, the pair of loci for which the LOD score (either joint or interaction LOD, according to the argument <code>type</code>) is a maximum is considered. The pair is printed only if its joint LOD score exceeds the joint threshold and either (a) the interaction LOD score exceeds its threshold or (b) both of the loci have conditional LOD scores that are above the conditional LOD threshold, where the conditional LOD score for locus <i>q1</i>, <i>LOD(q1 | q2)</i>, is the <i>log10</i> likelihood ratio comparing the model with <i>q1</i> and <i>q2</i> acting additively to the model with <i>q2</i> alone. </p> <p>In the case the results of <code><a href="scanone.html">scanone</a></code> are not available, the maximum locus pair for each chromosome is printed whenever its joint LOD exceeds the joint LOD threshold. </p> <p>The criterion used in this summary is due to Gary Churchill and Śaunak Sen, and deserves careful consideration and possible revision. </p> <h3>Value</h3> <p>An object of class <code>summary.scantwo.old</code>, to be printed by <code>print.summary.scantwo.old</code>. Pairs of loci meeting the specified criteria are printed, with their joint LOD, interaction LOD, and the conditional LOD for each locus, along with single-point P-values calculated by the <i>chi-square</i> approximation. P-values are printed as <i>-log10(P)</i>. <br /> </p> <p>If the input <code>scantwo</code> object does not include the results of <code>scanone</code>, the interaction and conditional LOD thresholds are ignored, and all pairs of loci for which the joint LOD exceeds its threshold are printed, though without their conditional LOD scores. </p> <h3>Author(s)</h3> <p>Hao Wu; Karl W Broman, <a href="mailto:broman@wisc.edu">broman@wisc.edu</a>; Brian Yandell </p> <h3>See Also</h3> <p><code><a href="summary.scantwo.html">summary.scantwo</a></code>, <code><a href="scantwo.html">scantwo</a></code>, <code><a href="plot.scantwo.html">plot.scantwo</a></code>, <code><a href="max.scantwo.html">max.scantwo</a></code> </p> <h3>Examples</h3> <pre> data(fake.f2) fake.f2 <- calc.genoprob(fake.f2, step=5) out.2dim <- scantwo(fake.f2, method="hk") # All pairs of loci summaryScantwoOld(out.2dim) # Pairs meeting specified criteria summaryScantwoOld(out.2dim, c(7, 3, 3)) # Pairs with both conditional LODs > 2 summaryScantwoOld(out.2dim,c(0,1000,2)) # Pairs with interaction LOD is above 3 summaryScantwoOld(out.2dim,c(0,3,1000)) </pre> <hr /><div style="text-align: center;">[Package <em>qtl</em> version 1.46-2 <a href="00Index.html">Index</a>]</div> </body></html>