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: | 0.9.8 |
Depends: | R (≥ 3.3.0) |
Imports: | data.table (≥ 1.13.0), fst (≥ 0.9.0), stringr (≥ 1.4.0) |
Suggests: | knitr, rmarkdown, nycflights13, pryr, tidyr, ggplot2, dplyr, bench, testthat |
Published: | 2020-08-02 |
Author: | Tian-Yuan Huang |
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 |
Reference manual: | tidyfst.pdf |
Vignettes: |
Performance chinese_tutorial english_tutorial example1_intro example2_join example3_reshape example4_nest example5_fst example6_dt |
Package source: | tidyfst_0.9.8.tar.gz |
Windows binaries: | r-devel: tidyfst_0.9.8.zip, r-release: tidyfst_0.9.8.zip, r-oldrel: tidyfst_0.9.8.zip |
macOS binaries: | r-release: tidyfst_0.9.8.tgz, r-oldrel: tidyfst_0.9.7.tgz |
Old sources: | tidyfst archive |
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