File: group_nest.Rd

package info (click to toggle)
r-cran-dplyr 1.1.4-4
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 4,292 kB
  • sloc: cpp: 1,403; sh: 17; makefile: 7
file content (75 lines) | stat: -rw-r--r-- 2,346 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/group-nest.R
\name{group_nest}
\alias{group_nest}
\title{Nest a tibble using a grouping specification}
\usage{
group_nest(.tbl, ..., .key = "data", keep = FALSE)
}
\arguments{
\item{.tbl}{A tbl}

\item{...}{Grouping specification, forwarded to \code{\link[=group_by]{group_by()}}}

\item{.key}{the name of the list column}

\item{keep}{Should the grouping columns be kept in the list column.}
}
\value{
A tbl with one row per unique combination of the grouping variables.
The first columns are the grouping variables, followed by a list column of tibbles
with matching rows of the remaining columns.
}
\description{
\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#experimental}{\figure{lifecycle-experimental.svg}{options: alt='[Experimental]'}}}{\strong{[Experimental]}}

Nest a tibble using a grouping specification
}
\section{Lifecycle}{

\code{group_nest()} is not stable because \code{\link[tidyr:nest]{tidyr::nest(.by =)}}
provides very similar behavior. It may be deprecated in the future.
}

\section{Grouped data frames}{


The primary use case for \code{\link[=group_nest]{group_nest()}} is with already grouped data frames,
typically a result of \code{\link[=group_by]{group_by()}}. In this case \code{\link[=group_nest]{group_nest()}} only uses
the first argument, the grouped tibble, and warns when \code{...} is used.
}

\section{Ungrouped data frames}{


When used on ungrouped data frames, \code{\link[=group_nest]{group_nest()}} forwards the \code{...} to
\code{\link[=group_by]{group_by()}} before nesting, therefore the \code{...} are subject to the data mask.
}

\examples{

#----- use case 1: a grouped data frame
iris \%>\%
  group_by(Species) \%>\%
  group_nest()

# this can be useful if the grouped data has been altered before nesting
iris \%>\%
  group_by(Species) \%>\%
  filter(Sepal.Length > mean(Sepal.Length)) \%>\%
  group_nest()

#----- use case 2: using group_nest() on a ungrouped data frame with
#                  a grouping specification that uses the data mask
starwars \%>\%
  group_nest(species, homeworld)
}
\seealso{
Other grouping functions: 
\code{\link{group_by}()},
\code{\link{group_map}()},
\code{\link{group_split}()},
\code{\link{group_trim}()}
}
\concept{grouping functions}
\keyword{internal}