EVOLUTION-MANAGER
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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: Glance at a(n) survfit 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 glance.survfit {broom}"><tr><td>glance.survfit {broom}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Glance at a(n) survfit object</h2> <h3>Description</h3> <p>Glance accepts a model object and returns a <code><a href="../../tibble/html/tibble.html">tibble::tibble()</a></code> with exactly one row of model summaries. The summaries are typically goodness of fit measures, p-values for hypothesis tests on residuals, or model convergence information. </p> <p>Glance never returns information from the original call to the modeling function. This includes the name of the modeling function or any arguments passed to the modeling function. </p> <p>Glance does not calculate summary measures. Rather, it farms out these computations to appropriate methods and gathers the results together. Sometimes a goodness of fit measure will be undefined. In these cases the measure will be reported as <code>NA</code>. </p> <p>Glance returns the same number of columns regardless of whether the model matrix is rank-deficient or not. If so, entries in columns that no longer have a well-defined value are filled in with an <code>NA</code> of the appropriate type. </p> <h3>Usage</h3> <pre> ## S3 method for class 'survfit' glance(x, ...) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>x</code></td> <td> <p>An <code>survfit</code> object returned from <code><a href="../../survival/html/survfit.html">survival::survfit()</a></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>Value</h3> <p>A <code><a href="../../tibble/html/tibble.html">tibble::tibble()</a></code> with exactly one row and columns: </p> <table summary="R valueblock"> <tr valign="top"><td><code>events</code></td> <td> <p>Number of events.</p> </td></tr> <tr valign="top"><td><code>n.max</code></td> <td> <p>Maximum number of subjects at risk.</p> </td></tr> <tr valign="top"><td><code>n.start</code></td> <td> <p>Initial number of subjects at risk.</p> </td></tr> <tr valign="top"><td><code>nobs</code></td> <td> <p>Number of observations used.</p> </td></tr> <tr valign="top"><td><code>records</code></td> <td> <p>Number of observations</p> </td></tr> <tr valign="top"><td><code>rmean</code></td> <td> <p>Restricted mean (see [survival::print.survfit()]).</p> </td></tr> <tr valign="top"><td><code>rmean.std.error</code></td> <td> <p>Restricted mean standard error.</p> </td></tr> <tr valign="top"><td><code>conf.low</code></td> <td> <p>lower end of confidence interval on median</p> </td></tr> <tr valign="top"><td><code>conf.high</code></td> <td> <p>upper end of confidence interval on median</p> </td></tr> <tr valign="top"><td><code>median</code></td> <td> <p>median survival</p> </td></tr> </table> <h3>See Also</h3> <p><code><a href="reexports.html">glance()</a></code>, <code><a href="../../survival/html/survfit.html">survival::survfit()</a></code> </p> <p>Other cch tidiers: <code><a href="glance.cch.html">glance.cch</a>()</code>, <code><a href="tidy.cch.html">tidy.cch</a>()</code> </p> <p>Other survival tidiers: <code><a href="augment.coxph.html">augment.coxph</a>()</code>, <code><a href="augment.survreg.html">augment.survreg</a>()</code>, <code><a href="glance.aareg.html">glance.aareg</a>()</code>, <code><a href="glance.cch.html">glance.cch</a>()</code>, <code><a href="glance.coxph.html">glance.coxph</a>()</code>, <code><a href="glance.pyears.html">glance.pyears</a>()</code>, <code><a href="glance.survdiff.html">glance.survdiff</a>()</code>, <code><a href="glance.survexp.html">glance.survexp</a>()</code>, <code><a href="glance.survreg.html">glance.survreg</a>()</code>, <code><a href="tidy.aareg.html">tidy.aareg</a>()</code>, <code><a href="tidy.cch.html">tidy.cch</a>()</code>, <code><a href="tidy.coxph.html">tidy.coxph</a>()</code>, <code><a href="tidy.pyears.html">tidy.pyears</a>()</code>, <code><a href="tidy.survdiff.html">tidy.survdiff</a>()</code>, <code><a href="tidy.survexp.html">tidy.survexp</a>()</code>, <code><a href="tidy.survfit.html">tidy.survfit</a>()</code>, <code><a href="tidy.survreg.html">tidy.survreg</a>()</code> </p> <h3>Examples</h3> <pre> library(survival) cfit <- coxph(Surv(time, status) ~ age + sex, lung) sfit <- survfit(cfit) tidy(sfit) glance(sfit) library(ggplot2) ggplot(tidy(sfit), aes(time, estimate)) + geom_line() + geom_ribbon(aes(ymin = conf.low, ymax = conf.high), alpha = .25) # multi-state fitCI <- survfit(Surv(stop, status * as.numeric(event), type = "mstate") ~ 1, data = mgus1, subset = (start == 0) ) td_multi <- tidy(fitCI) td_multi ggplot(td_multi, aes(time, estimate, group = state)) + geom_line(aes(color = state)) + geom_ribbon(aes(ymin = conf.low, ymax = conf.high), alpha = .25) </pre> <hr /><div style="text-align: center;">[Package <em>broom</em> version 0.7.0 <a href="00Index.html">Index</a>]</div> </body></html>