EVOLUTION-MANAGER
Edit File: summary.fitqtl.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: Summary of fit of qtl model</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 summary.fitqtl {qtl}"><tr><td>summary.fitqtl {qtl}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Summary of fit of qtl model</h2> <h3>Description</h3> <p>Print summary information about the results of <code><a href="fitqtl.html">fitqtl</a></code>. </p> <h3>Usage</h3> <pre> ## S3 method for class 'fitqtl' summary(object, pvalues=TRUE, simple=FALSE, ...) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>object</code></td> <td> <p>Output from <code><a href="fitqtl.html">fitqtl</a></code>.</p> </td></tr> <tr valign="top"><td><code>pvalues</code></td> <td> <p>If FALSE, don't include p-values in the summary.</p> </td></tr> <tr valign="top"><td><code>simple</code></td> <td> <p>If TRUE, don't include p-values or sums of squares in the summary.</p> </td></tr> <tr valign="top"><td><code>...</code></td> <td> <p>Ignored at this point.</p> </td></tr> </table> <h3>Value</h3> <p>An object of class <code>summary.fitqtl</code>, which is not all that different than the input, but when printed gives summary information about the results. </p> <h3>Author(s)</h3> <p>Hao Wu; Karl W Broman, <a href="mailto:broman@wisc.edu">broman@wisc.edu</a></p> <h3>See Also</h3> <p><code><a href="fitqtl.html">fitqtl</a></code>, <code><a href="makeqtl.html">makeqtl</a></code>, <code><a href="scanqtl.html">scanqtl</a></code> </p> <h3>Examples</h3> <pre> data(fake.f2) # take out several QTLs and make QTL object qc <- c(1, 8, 13) qp <- c(26, 56, 28) fake.f2 <- subset(fake.f2, chr=qc) fake.f2 <- calc.genoprob(fake.f2, step=2, err=0.001) qtl <- makeqtl(fake.f2, qc, qp, what="prob") # fit model with 3 interacting QTLs interacting # (performing a drop-one-term analysis) lod <- fitqtl(fake.f2, pheno.col=1, qtl, formula=y~Q1*Q2*Q3, method="hk") summary(lod) </pre> <hr /><div style="text-align: center;">[Package <em>qtl</em> version 1.66 <a href="00Index.html">Index</a>]</div> </body></html>