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: 0.9.7
Depends: R (≥ 3.3.0)
Imports: data.table (≥ 1.12.8), fst (≥ 0.9.0), stringr (≥ 1.4.0)
Suggests: knitr, rmarkdown, nycflights13, pryr, tidyr, ggplot2
Published: 2020-05-28
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
CRAN checks: tidyfst results

Downloads:

Reference manual: tidyfst.pdf
Vignettes: chinese_tutorial
english_tutorial
example1_intro
example2_join
example3_reshape
example4_nest
example5_fst
example6_dt
Package source: tidyfst_0.9.7.tar.gz
Windows binaries: r-devel: tidyfst_0.9.6.zip, r-release: tidyfst_0.9.6.zip, r-oldrel: tidyfst_0.9.7.zip
macOS binaries: r-release: tidyfst_0.9.6.tgz, r-oldrel: tidyfst_0.9.6.tgz
Old sources: tidyfst archive

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