Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, a fast friendly file reader and parallel file writer. Offers a natural and flexible syntax, for faster development.
Version: | 1.10.0 |
Depends: | R (≥ 3.0.0) |
Imports: | methods |
Suggests: | bit64, knitr, chron, ggplot2 (≥ 0.9.0), plyr, reshape, reshape2, testthat (≥ 0.4), hexbin, fastmatch, nlme, xts, gdata, GenomicRanges, caret, curl, zoo, plm, rmarkdown, parallel |
Published: | 2016-12-03 |
Author: | Matt Dowle [aut, cre], Arun Srinivasan [aut], Jan Gorecki [ctb], Tom Short [ctb], Steve Lianoglou [ctb], Eduard Antonyan [ctb] |
Maintainer: | Matt Dowle <mattjdowle at gmail.com> |
BugReports: | https://github.com/Rdatatable/data.table/issues |
License: | GPL-3 | file LICENSE |
URL: | http://r-datatable.com |
NeedsCompilation: | yes |
Materials: | README NEWS |
In views: | Finance, HighPerformanceComputing |
CRAN checks: | data.table results |
Reference manual: | data.table.pdf |
Vignettes: |
Frequently asked questions Introduction to data.table Keys and fast binary search based subset Reference semantics Efficient reshaping using data.tables Secondary indices and auto indexing |
Package source: | data.table_1.10.0.tar.gz |
Windows binaries: | r-devel: data.table_1.10.0.zip, r-release: data.table_1.10.0.zip, r-oldrel: data.table_1.10.0.zip |
OS X Mavericks binaries: | r-release: data.table_1.10.0.tgz, r-oldrel: data.table_1.10.0.tgz |
Old sources: | data.table archive |
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