<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Widen, Process, then Re-Tidy Data</dc:title>
  <dc:title>R package widyr version 0.1.5</dc:title>
  <dc:description>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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: broom, dplyr, Matrix, purrr, reshape2, rlang, tibble, tidyr,
tidytext</dc:relation>
  <dc:relation>Suggests: countrycode, covr, fuzzyjoin, gapminder, ggplot2, ggraph,
igraph, irlba, janeaustenr, knitr, maps, rmarkdown, testthat,
unvotes (&gt;= 0.3.0)</dc:relation>
  <dc:creator>Julia Silge &lt;julia.silge@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>David Robinson [aut],
  Kanishka Misra [ctb],
  Julia Silge [aut, cre] (ORCID: &lt;https://orcid.org/0000-0002-3671-836X&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=widyr/LICENSE)</dc:rights>
  <dc:date>2022-09-13</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=widyr</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.widyr</dc:identifier>
</oai_dc:dc>
