tidyft: Tidy Verbs for Fast Data Operations by Reference

Tidy syntax for 'data.table', using modification by reference whenever possible. This toolkit is designed for big data analysis in high-performance desktop or laptop computers. The syntax of the package is similar or identical to 'tidyverse'. It is user friendly, memory efficient and time saving. For more information, check its ancestor package 'tidyfst'.

Version: 0.4.5
Imports: data.table (≥ 1.12.8), stringr (≥ 1.4.0), fst (≥ 0.9.0)
Suggests: knitr, rmarkdown, profvis, dplyr
Published: 2020-04-10
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/tidyft/issues
License: MIT + file LICENSE
URL: https://github.com/hope-data-science/tidyft, https://hope-data-science.github.io/tidyft/
NeedsCompilation: no
CRAN checks: tidyft results

Downloads:

Reference manual: tidyft.pdf
Vignettes: Introduction
Package source: tidyft_0.4.5.tar.gz
Windows binaries: r-devel: tidyft_0.4.5.zip, r-release: tidyft_0.4.5.zip, r-oldrel: tidyft_0.4.5.zip
macOS binaries: r-release (arm64): tidyft_0.4.5.tgz, r-release (x86_64): tidyft_0.4.5.tgz, r-oldrel: tidyft_0.4.5.tgz

Linking:

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