nplyr: A Grammar of Nested Data Manipulation

Provides functions for manipulating nested data frames in a list-column using 'dplyr' <https://dplyr.tidyverse.org/> syntax. Rather than unnesting, then manipulating a data frame, 'nplyr' allows users to manipulate each nested data frame directly. 'nplyr' is a wrapper for 'dplyr' functions that provide tools for common data manipulation steps: filtering rows, selecting columns, summarising grouped data, among others.

Version: 0.2.0
Depends: dplyr, tidyr, R (≥ 2.10)
Imports: assertthat, purrr, rlang
Suggests: gapminder, knitr, readr, rmarkdown, stringr, testthat (≥ 3.0.0), tibble
Published: 2023-02-14
Author: Mark Rieke [aut, cre], Joran Elias [ctb]
Maintainer: Mark Rieke <markjrieke at gmail.com>
BugReports: https://github.com/markjrieke/nplyr/issues
License: MIT + file LICENSE
URL: https://github.com/markjrieke/nplyr, https://markjrieke.github.io/nplyr/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: nplyr results

Documentation:

Reference manual: nplyr.pdf
Vignettes: Use case for nplyr

Downloads:

Package source: nplyr_0.2.0.tar.gz
Windows binaries: r-devel: nplyr_0.2.0.zip, r-release: nplyr_0.2.0.zip, r-oldrel: nplyr_0.2.0.zip
macOS binaries: r-release (arm64): nplyr_0.2.0.tgz, r-oldrel (arm64): nplyr_0.2.0.tgz, r-release (x86_64): nplyr_0.2.0.tgz
Old sources: nplyr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nplyr to link to this page.