disk.frame: Larger-than-RAM Disk-Based Data Manipulation Framework

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: 0.1.1
Depends: R (≥ 3.5.0), dplyr (≥ 0.8.3), 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), assertthat (≥ 0.2.1), globals (≥ 0.12.4), future (≥ 1.14.0), data.table (≥ 1.12.2), crayon (≥ 1.3.4), benchmarkme (≥ 1.0.2), bigreadr (≥ 0.1.9), bit64
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, nycflights13, magrittr, shiny, LaF, readr, rstudioapi
Published: 2019-09-15
Author: Dai ZJ [aut, cre]
Maintainer: Dai ZJ <zhuojia.dai at gmail.com>
BugReports: https://github.com/xiaodaigh/disk.frame/issues
License: MIT + file LICENSE
URL: http://diskframe.com
NeedsCompilation: yes
Materials: README NEWS
In views: HighPerformanceComputing
CRAN checks: disk.frame results

Downloads:

Reference manual: disk.frame.pdf
Vignettes: concepts
using-data.table-syntax
ingesting-data
quick-start
Package source: disk.frame_0.1.1.tar.gz
Windows binaries: r-devel: disk.frame_0.1.1.zip, r-release: disk.frame_0.1.1.zip, r-oldrel: disk.frame_0.1.1.zip
OS X binaries: r-release: disk.frame_0.1.1.tgz, r-oldrel: disk.frame_0.1.1.tgz
Old sources: disk.frame archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=disk.frame to link to this page.