widyr: Widen, Process, then Re-Tidy Data

Encapsulates the pattern of untidying data into a wide matrix, performing some processing, then turning it back into a tidy form. This is useful for several operations such as co-occurrence counts, correlations, or clustering that are mathematically convenient on wide matrices.

Version:	0.1.5
Imports:	broom, dplyr, Matrix, purrr, reshape2, rlang, tibble, tidyr, tidytext
Suggests:	countrycode, covr, fuzzyjoin, gapminder, ggplot2, ggraph, igraph, irlba, janeaustenr, knitr, maps, rmarkdown, testthat, unvotes (≥ 0.3.0)
Published:	2022-09-13
DOI:	10.32614/CRAN.package.widyr
Author:	David Robinson [aut], Kanishka Misra [ctb], Julia Silge [aut, cre]
Maintainer:	Julia Silge <julia.silge at gmail.com>
BugReports:	https://github.com/juliasilge/widyr/issues
License:	MIT + file LICENSE
URL:	https://github.com/juliasilge/widyr, https://juliasilge.github.io/widyr/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	widyr results

Documentation:

Reference manual:	widyr.html , widyr.pdf
Vignettes:	widyr: Widen, process, and re-tidy a dataset (source, R code) United Nations Voting Correlations (source, R code)

Downloads:

Package source:	widyr_0.1.5.tar.gz
Windows binaries:	r-devel: widyr_0.1.5.zip, r-release: widyr_0.1.5.zip, r-oldrel: widyr_0.1.5.zip
macOS binaries:	r-release (arm64): widyr_0.1.5.tgz, r-oldrel (arm64): widyr_0.1.5.tgz, r-release (x86_64): widyr_0.1.5.tgz, r-oldrel (x86_64): widyr_0.1.5.tgz
Old sources:	widyr archive

Reverse dependencies:

Reverse imports:	margaret, SportMiner
Reverse suggests:	tidybulk

Linking:

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