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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: Linear Variance Estimate</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 var.linear {boot}"><tr><td>var.linear {boot}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2> Linear Variance Estimate </h2> <h3>Description</h3> <p>Estimates the variance of a statistic from its empirical influence values. </p> <h3>Usage</h3> <pre> var.linear(L, strata = NULL) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>L</code></td> <td> <p>Vector of the empirical influence values of a statistic. These will usually be calculated by a call to <code>empinf</code>. </p> </td></tr> <tr valign="top"><td><code>strata</code></td> <td> <p>A numeric vector or factor specifying which observations (and hence empirical influence values) come from which strata. </p> </td></tr></table> <h3>Value</h3> <p>The variance estimate calculated from <code>L</code>. </p> <h3>References</h3> <p>Davison, A. C. and Hinkley, D. V. (1997) <em>Bootstrap Methods and Their Application</em>. Cambridge University Press. </p> <h3>See Also</h3> <p><code><a href="empinf.html">empinf</a></code>, <code><a href="linear.approx.html">linear.approx</a></code>, <code><a href="k3.linear.html">k3.linear</a></code> </p> <h3>Examples</h3> <pre> # To estimate the variance of the ratio of means for the city data. ratio <- function(d,w) sum(d$x * w)/sum(d$u * w) var.linear(empinf(data = city, statistic = ratio)) </pre> <hr /><div style="text-align: center;">[Package <em>boot</em> version 1.3-22 <a href="00Index.html">Index</a>]</div> </body></html>