A disk-based data manipulation tool for working with
large-than-RAM datasets. Aims to lower the barrier-to-entry for
manipulating large datasets by adhering closely to popular and
familiar data manipulation paradigms like 'dplyr' verbs and
'data.table' syntax.
Version: |
0.3.7 |
Depends: |
R (≥ 3.4), dplyr (≥ 1.0.0), purrr (≥ 0.3.2) |
Imports: |
Rcpp (≥ 0.12.13), glue (≥ 1.3.1), rlang (≥ 0.4.0), furrr (≥ 0.1.0), future.apply (≥ 1.3.0), fs (≥ 1.3.1), jsonlite (≥ 1.6), pryr (≥ 0.1.4), stringr (≥ 1.4.0), fst (≥ 0.8.0), globals (≥ 0.12.4), future (≥ 1.14.0), data.table (≥
1.12.2), crayon (≥ 1.3.4), bigreadr (≥ 0.2.0), bit64, benchmarkme |
LinkingTo: |
Rcpp |
Suggests: |
testthat (≥ 2.1.0), nycflights13, magrittr, shiny, LaF, readr, rstudioapi, biglm, biglmm, speedglm, broom, ggplot2, covr |
Published: |
2020-07-07 |
Author: |
Dai ZJ [aut, cre],
Jacky Poon [ctb] |
Maintainer: |
Dai ZJ <zhuojia.dai at gmail.com> |
BugReports: |
https://github.com/xiaodaigh/disk.frame/issues |
License: |
MIT + file LICENSE |
URL: |
https://diskframe.com |
NeedsCompilation: |
yes |
Materials: |
README NEWS |
CRAN checks: |
disk.frame results |