Perform chunk processing or split-apply-combine on data in a delimited file (example: CSV) and Distributed Dataframes (DDF) across multiple cores of a single machine with low memory footprint. These functions are a convenient wrapper over the versatile package 'datadr'.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.3.2), tibble (≥ 1.2), utils |
| Imports: | datadr (≥ 0.8.6), assertthat (≥ 0.1), parallel |
| Published: | 2017-02-20 |
| Author: | KS Srikanth [aut, cre] |
| Maintainer: | KS Srikanth <sri.teach at gmail.com> |
| BugReports: | https://github.com/talegari/fileplyr/issues |
| License: | GPL-3 |
| URL: | https://github.com/talegari/fileplyr |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | fileplyr results |
| Reference manual: | fileplyr.pdf |
| Package source: | fileplyr_0.2.0.tar.gz |
| Windows binaries: | r-devel: fileplyr_0.2.0.zip, r-release: fileplyr_0.2.0.zip, r-oldrel: fileplyr_0.2.0.zip |
| OS X binaries: | r-release: fileplyr_0.2.0.tgz, r-oldrel: fileplyr_0.2.0.tgz |
| Old sources: | fileplyr archive |
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