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tidyfst: Tidy Verbs for Fast Data Manipulation

A toolkit of tidy data manipulation verbs with 'data.table' as the backend. Combining the merits of syntax elegance from 'dplyr' and computing performance from 'data.table', 'tidyfst' intends to provide users with state-of-the-art data manipulation tools with least pain. This package is an extension of 'data.table'. While enjoying a tidy syntax, it also wraps combinations of efficient functions to facilitate frequently-used data operations.

Version: 1.8.1
Depends: R (≥ 4.0.0)
Imports: data.table (≥ 1.15.0), fst (≥ 0.9.0), stringr (≥ 1.5.0)
Suggests: knitr, rmarkdown, nycflights13, pryr, tidyr, ggplot2, dplyr, bench, testthat
Published: 2024-09-16
DOI: 10.32614/CRAN.package.tidyfst
Author: Tian-Yuan Huang ORCID iD [aut, cre]
Maintainer: Tian-Yuan Huang <huang.tian-yuan at qq.com>
BugReports: https://github.com/hope-data-science/tidyfst/issues
License: MIT + file LICENSE
URL: https://github.com/hope-data-science/tidyfst, https://hope-data-science.github.io/tidyfst/
NeedsCompilation: no
Citation: tidyfst citation info
Materials: README
CRAN checks: tidyfst results

Documentation:

Reference manual: tidyfst.pdf
Vignettes: Performance (source, R code)
chinese_tutorial (source, R code)
english_tutorial (source, R code)
Example 1: Basic usage (source, R code)
Example 2: Join tables (source, R code)
Example 3: Reshape (source, R code)
Example 4: Nest (source, R code)
Example 5: Fst (source, R code)
Example 6: Dt (source, R code)

Downloads:

Package source: tidyfst_1.8.1.tar.gz
Windows binaries: r-devel: tidyfst_1.8.1.zip, r-release: tidyfst_1.8.1.zip, r-oldrel: tidyfst_1.8.1.zip
macOS binaries: r-release (arm64): tidyfst_1.8.1.tgz, r-oldrel (arm64): tidyfst_1.8.1.tgz, r-release (x86_64): tidyfst_1.8.1.tgz, r-oldrel (x86_64): tidyfst_1.8.1.tgz
Old sources: tidyfst archive

Reverse dependencies:

Reverse imports: akc
Reverse suggests: siie

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tidyfst 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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