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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: Tidy a(n) boot object</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 tidy.boot {broom}"><tr><td>tidy.boot {broom}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Tidy a(n) boot object</h2> <h3>Description</h3> <p>Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return. </p> <h3>Usage</h3> <pre> ## S3 method for class 'boot' tidy( x, conf.int = FALSE, conf.level = 0.95, conf.method = c("perc", "bca", "basic", "norm"), ... ) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>x</code></td> <td> <p>A <code><a href="../../boot/html/boot.html">boot::boot()</a></code> object.</p> </td></tr> <tr valign="top"><td><code>conf.int</code></td> <td> <p>Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to <code>FALSE</code>.</p> </td></tr> <tr valign="top"><td><code>conf.level</code></td> <td> <p>The confidence level to use for the confidence interval if <code>conf.int = TRUE</code>. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.</p> </td></tr> <tr valign="top"><td><code>conf.method</code></td> <td> <p>Passed to the <code>type</code> argument of <code><a href="../../boot/html/boot.ci.html">boot::boot.ci()</a></code>. Defaults to <code>"perc"</code>. The allowed types are <code>"perc"</code>, <code>"basic"</code>, <code>"bca"</code>, and <code>"norm"</code>. Does not support <code>"stud"</code> or <code>"all"</code>.</p> </td></tr> <tr valign="top"><td><code>...</code></td> <td> <p>Additional arguments. Not used. Needed to match generic signature only. <strong>Cautionary note:</strong> Misspelled arguments will be absorbed in <code>...</code>, where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass <code>conf.lvel = 0.9</code>, all computation will proceed using <code>conf.level = 0.95</code>. Additionally, if you pass <code>newdata = my_tibble</code> to an <code><a href="reexports.html">augment()</a></code> method that does not accept a <code>newdata</code> argument, it will use the default value for the <code>data</code> argument.</p> </td></tr> </table> <h3>Details</h3> <p>If weights were provided to the <code>boot</code> function, an <code>estimate</code> column is included showing the weighted bootstrap estimate, and the standard error is of that estimate. </p> <p>If there are no original statistics in the "boot" object, such as with a call to <code>tsboot</code> with <code>orig.t = FALSE</code>, the <code>original</code> and <code>statistic</code> columns are omitted, and only <code>estimate</code> and <code>std.error</code> columns shown. </p> <h3>Value</h3> <p>A <code><a href="../../tibble/html/tibble.html">tibble::tibble()</a></code> with columns: </p> <table summary="R valueblock"> <tr valign="top"><td><code>bias</code></td> <td> <p>Bias of the statistic.</p> </td></tr> <tr valign="top"><td><code>std.error</code></td> <td> <p>The standard error of the regression term.</p> </td></tr> <tr valign="top"><td><code>term</code></td> <td> <p>The name of the regression term.</p> </td></tr> <tr valign="top"><td><code>statistic</code></td> <td> <p>Original value of the statistic.</p> </td></tr> </table> <h3>See Also</h3> <p><code><a href="reexports.html">tidy()</a></code>, <code><a href="../../boot/html/boot.html">boot::boot()</a></code>, <code><a href="../../boot/html/tsboot.html">boot::tsboot()</a></code>, <code><a href="../../boot/html/boot.ci.html">boot::boot.ci()</a></code>, <code><a href="../../rsample/html/bootstraps.html">rsample::bootstraps()</a></code> </p> <h3>Examples</h3> <pre> library(boot) clotting <- data.frame( u = c(5, 10, 15, 20, 30, 40, 60, 80, 100), lot1 = c(118, 58, 42, 35, 27, 25, 21, 19, 18), lot2 = c(69, 35, 26, 21, 18, 16, 13, 12, 12) ) g1 <- glm(lot2 ~ log(u), data = clotting, family = Gamma) bootfun <- function(d, i) { coef(update(g1, data = d[i, ])) } bootres <- boot(clotting, bootfun, R = 999) tidy(g1, conf.int = TRUE) tidy(bootres, conf.int = TRUE) </pre> <hr /><div style="text-align: center;">[Package <em>broom</em> version 0.7.0 <a href="00Index.html">Index</a>]</div> </body></html>