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: 0.1.4
Imports: rlang, dplyr, tidyr, reshape2, tidytext, purrr, Matrix, broom, tibble, gapminder
Suggests: ggraph, igraph, testthat, covr, knitr, janeaustenr, rmarkdown, unvotes (≥ 0.3.0), countrycode, fuzzyjoin, ggplot2, maps, irlba
Published: 2021-08-12
Author: David Robinson [aut, cre], Kanishka Misra [ctb], Julia Silge [ctb]
Maintainer: David Robinson <admiral.david at gmail.com>
BugReports: https://github.com/dgrtwo/widyr/issues
License: MIT + file LICENSE
URL: https://github.com/dgrtwo/widyr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: widyr results

Documentation:

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

Downloads:

Package source: widyr_0.1.4.tar.gz
Windows binaries: r-devel: widyr_0.1.4.zip, r-release: widyr_0.1.4.zip, r-oldrel: widyr_0.1.4.zip
macOS binaries: r-release (arm64): widyr_0.1.4.tgz, r-release (x86_64): widyr_0.1.4.tgz, r-oldrel: widyr_0.1.4.tgz
Old sources: widyr archive

Reverse dependencies:

Reverse imports: akc, saotd
Reverse suggests: tidybulk

Linking:

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