EVOLUTION-MANAGER
Edit File: glance.ivreg.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: Glance at a(n) ivreg 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.ivreg {broom}"><tr><td>glance.ivreg {broom}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Glance at a(n) ivreg 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 'ivreg' glance(x, diagnostics = FALSE, ...) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>x</code></td> <td> <p>An <code>ivreg</code> object created by a call to <code><a href="../../AER/html/ivreg.html">AER::ivreg()</a></code>.</p> </td></tr> <tr valign="top"><td><code>diagnostics</code></td> <td> <p>Logical indicating whether or not to return the Wu-Hausman and Sargan diagnostic information.</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>adj.r.squared</code></td> <td> <p>Adjusted R squared statistic, which is like the R squared statistic except taking degrees of freedom into account.</p> </td></tr> <tr valign="top"><td><code>df</code></td> <td> <p>Degrees of freedom used by the model.</p> </td></tr> <tr valign="top"><td><code>df.residual</code></td> <td> <p>Residual degrees of freedom.</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>r.squared</code></td> <td> <p>R squared statistic, or the percent of variation explained by the model. Also known as the coefficient of determination.</p> </td></tr> <tr valign="top"><td><code>sigma</code></td> <td> <p>Estimated standard error of the residuals.</p> </td></tr> <tr valign="top"><td><code>statistic</code></td> <td> <p>Wald test statistic.</p> </td></tr> <tr valign="top"><td><code>p.value</code></td> <td> <p>P-value for the Wald test.</p> </td></tr> </table> <h3>Note</h3> <p>Beginning 0.7.0, <code>glance.ivreg</code> returns statistics for the Wu-Hausman test for endogeneity and the Sargan test of overidentifying restrictions. Sargan test values are returned as <code>NA</code> if the number of instruments is not greater than the number of endogenous regressors. </p> <h3>See Also</h3> <p><code><a href="reexports.html">glance()</a></code>, <code><a href="../../AER/html/ivreg.html">AER::ivreg()</a></code> </p> <p>Other ivreg tidiers: <code><a href="augment.ivreg.html">augment.ivreg</a>()</code>, <code><a href="tidy.ivreg.html">tidy.ivreg</a>()</code> </p> <h3>Examples</h3> <pre> library(AER) data("CigarettesSW", package = "AER") ivr <- ivreg( log(packs) ~ income | population, data = CigarettesSW, subset = year == "1995" ) summary(ivr) tidy(ivr) tidy(ivr, conf.int = TRUE) tidy(ivr, conf.int = TRUE, instruments = TRUE) augment(ivr) augment(ivr, data = CigarettesSW) augment(ivr, newdata = CigarettesSW) glance(ivr) </pre> <hr /><div style="text-align: center;">[Package <em>broom</em> version 0.7.0 <a href="00Index.html">Index</a>]</div> </body></html>