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: 0.1.3
Imports: rlang, dplyr, tidyr, reshape2, tidytext, purrr, Matrix, broom
Suggests: ggraph, igraph, gapminder, testthat, covr, knitr, janeaustenr, rmarkdown, unvotes (≥ 0.2.0), countrycode, fuzzyjoin, ggplot2, maps, irlba
Published: 2020-04-12
Author: David Robinson [aut, cre], Kanishka Misra [ctb], Julia Silge [ctb]
Maintainer: David Robinson <admiral.david at gmail.com>
BugReports: http://github.com/dgrtwo/widyr/issues
License: MIT + file LICENSE
URL: http://github.com/dgrtwo/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_0.1.3.tar.gz
Windows binaries: r-devel: widyr_0.1.3.zip, r-release: widyr_0.1.3.zip, r-oldrel: widyr_0.1.3.zip
macOS binaries: r-release: widyr_0.1.3.tgz, r-oldrel: widyr_0.1.3.tgz
Old sources: widyr archive

Reverse dependencies:

Reverse imports: akc, nanny
Reverse suggests: tidybulk, wikisourcer


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