https://github.com/hadley/dplyr
Tip revision: 665e8d2ebe94575f505b326bc86b72efdc9d646b authored by Romain Francois on 19 January 2021, 17:20:10 UTC
short circuit calls to across()
short circuit calls to across()
Tip revision: 665e8d2
grouped_df.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/grouped-df.r
\name{grouped_df}
\alias{grouped_df}
\alias{is.grouped_df}
\alias{is_grouped_df}
\title{A grouped data frame.}
\usage{
grouped_df(data, vars, drop = group_by_drop_default(data))
is.grouped_df(x)
is_grouped_df(x)
}
\arguments{
\item{data}{a tbl or data frame.}
\item{vars}{A character vector.}
\item{drop}{When \code{.drop = TRUE}, empty groups are dropped.}
}
\description{
The easiest way to create a grouped data frame is to call the \code{group_by()}
method on a data frame or tbl: this will take care of capturing
the unevaluated expressions for you.
These functions are designed for programmatic use. For data analysis
purposes see \code{\link[=group_data]{group_data()}} for the accessor functions that retrieve
various metadata from a grouped data frames.
}
\keyword{internal}