EVOLUTION-MANAGER
Edit File: glance.felm.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) felm 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.felm {broom}"><tr><td>glance.felm {broom}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Glance at a(n) felm 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 'felm' glance(x, ...) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>x</code></td> <td> <p>A <code>felm</code> object returned from <code><a href="../../lfe/html/felm.html">lfe::felm()</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>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>p.value</code></td> <td> <p>P-value corresponding to the test statistic.</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>Test statistic.</p> </td></tr> </table> <h3>Examples</h3> <pre> library(lfe) N <- 1e2 DT <- data.frame( id = sample(5, N, TRUE), v1 = sample(5, N, TRUE), v2 = sample(1e6, N, TRUE), v3 = sample(round(runif(100, max = 100), 4), N, TRUE), v4 = sample(round(runif(100, max = 100), 4), N, TRUE) ) result_felm <- felm(v2 ~ v3, DT) tidy(result_felm) augment(result_felm) result_felm <- felm(v2 ~ v3 | id + v1, DT) tidy(result_felm, fe = TRUE) tidy(result_felm, robust = TRUE) augment(result_felm) v1 <- DT$v1 v2 <- DT$v2 v3 <- DT$v3 id <- DT$id result_felm <- felm(v2 ~ v3 | id + v1) tidy(result_felm) augment(result_felm) glance(result_felm) </pre> <hr /><div style="text-align: center;">[Package <em>broom</em> version 0.7.0 <a href="00Index.html">Index</a>]</div> </body></html>