Package: widyr 0.1.5.9000

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.

Authors:David Robinson [aut], Kanishka Misra [ctb], Julia Silge [aut, cre]

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widyr.pdf |widyr.html
widyr/json (API)
NEWS

# Install 'widyr' in R:
install.packages('widyr', repos = c('https://juliasilge.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/juliasilge/widyr/issues

On CRAN:

20 exports 327 stars 11.06 score 32 dependencies 2 dependents 3 mentions 1.6k scripts 1.8k downloads

Last updated 2 years agofrom:a6696d64ec. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 16 2024
R-4.5-winOKSep 16 2024
R-4.5-linuxOKSep 16 2024
R-4.4-winOKSep 16 2024
R-4.4-macOKSep 16 2024
R-4.3-winOKSep 16 2024
R-4.3-macOKSep 16 2024

Exports:pairwise_corpairwise_cor_pairwise_countpairwise_count_pairwise_deltapairwise_delta_pairwise_distpairwise_dist_pairwise_pmipairwise_pmi_pairwise_similaritypairwise_similarity_squarelysquarely_widelywidely_widely_hclustwidely_kmeanswidely_svdwidely_svd_

Dependencies:backportsbroomclicpp11dplyrfansigenericsgluejaneaustenrlatticelifecyclemagrittrMatrixpillarpkgconfigplyrpurrrR6Rcppreshape2rlangSnowballCstringistringrtibbletidyrtidyselecttidytexttokenizersutf8vctrswithr

United Nations Voting Correlations

Rendered fromunited_nations.Rmdusingknitr::rmarkdownon Sep 16 2024.

Last update: 2022-09-12
Started: 2016-07-15

widyr: Widen, process, and re-tidy a dataset

Rendered fromintro.Rmdusingknitr::rmarkdownon Sep 16 2024.

Last update: 2020-04-11
Started: 2016-08-18