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: | 0.3.2 |
| Depends: | R (≥ 3.4), 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), globals (≥ 0.12.4), future (≥ 1.14.0), data.table (≥ 1.12.2), crayon (≥ 1.3.4), bigreadr (≥ 0.2.0), bit64 |
| LinkingTo: | Rcpp |
| Suggests: | benchmarkme, testthat (≥ 2.1.0), knitr, rmarkdown, nycflights13, magrittr, shiny, LaF, readr, rstudioapi, biglm, biglmm, speedglm, broom, learnr, ggplot2 |
| Published: | 2020-01-19 |
| 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 |
| Reference manual: | disk.frame.pdf |
| Vignettes: |
Key disk.frame concepts Convenience features Custom One-Stage Group-by functions Using data.table syntax Generalized Linear Models (logistic regression etc) with disk.frame Group-by Ingesting data including CSVs Quick Start |
| Package source: | disk.frame_0.3.2.tar.gz |
| Windows binaries: | r-devel: disk.frame_0.3.1.zip, r-devel-gcc8: not available, r-release: not available, r-oldrel: not available |
| OS X binaries: | r-release: not available, r-oldrel: not available |
| Old sources: | disk.frame archive |
| Reverse suggests: | drake |
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