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 ORCID iD [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


Reference manual: widyr.pdf
Vignettes: widyr: Widen, process, and re-tidy a dataset
United Nations Voting Correlations


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, saotd
Reverse suggests: tidybulk


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