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widyr
View on CRAN: Click
here
Download and install widyr package within the R console
Install from CRAN:
install.packages("widyr")
Install from Github:
library("remotes")
install_github("cran/widyr") Install by package version:
library("remotes")
install_version("widyr", "0.1.5") Attach the package and use:
library("widyr")
Maintained by
Julia Silge
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-14
Latest Update: 2022-09-13
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.
How to cite:
Julia Silge (2017). widyr: Widen, Process, then Re-Tidy Data. R package version 0.1.5, https://cran.r-project.org/web/packages/widyr. Accessed 25 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for widyr
Functions, R codes and Examples using
the widyr R package
Some associated functions: cor_sparse . pairwise_cor . pairwise_count . pairwise_delta . pairwise_dist . pairwise_pmi . pairwise_similarity . squarely . widely . widely_hclust . widely_kmeans . widely_svd .
Some associated R codes: cor_sparse.R . globals.R . pairwise_cor.R . pairwise_count.R . pairwise_delta.R . pairwise_dist.R . pairwise_pmi.R . pairwise_similarity.R . squarely.R . utils.R . widely.R . widely_hclust.R . widely_kmeans.R . widely_svd.R . Full widyr package functions and examples
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