EVOLUTION-MANAGER
Edit File: grouped_df.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: A grouped data frame.</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 grouped_df {dplyr}"><tr><td>grouped_df {dplyr}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>A grouped data frame.</h2> <h3>Description</h3> <p>The easiest way to create a grouped data frame is to call the <code>group_by()</code> method on a data frame or tbl: this will take care of capturing the unevaluated expressions for you. </p> <p>These functions are designed for programmatic use. For data analysis purposes see <code><a href="group_data.html">group_data()</a></code> for the accessor functions that retrieve various metadata from a grouped data frames. </p> <h3>Usage</h3> <pre> grouped_df(data, vars, drop = group_by_drop_default(data)) is.grouped_df(x) is_grouped_df(x) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>data</code></td> <td> <p>a tbl or data frame.</p> </td></tr> <tr valign="top"><td><code>vars</code></td> <td> <p>A character vector.</p> </td></tr> <tr valign="top"><td><code>drop</code></td> <td> <p>When <code>.drop = TRUE</code>, empty groups are dropped.</p> </td></tr> </table> <hr /><div style="text-align: center;">[Package <em>dplyr</em> version 1.0.2 <a href="00Index.html">Index</a>]</div> </body></html>