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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 |
| 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:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=widyr
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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