datadr: Divide and Recombine for Large, Complex Data

Methods for dividing data into subsets, applying analytical methods to the subsets, and recombining the results. Comes with a generic MapReduce interface as well. Works with key-value pairs stored in memory, on local disk, or on HDFS, in the latter case using the R and Hadoop Integrated Programming Environment (RHIPE).

Depends: R (≥ 2.10)
Imports: data.table (≥ 1.9.6), digest, codetools, hexbin, parallel, magrittr, dplyr, methods
Suggests: testthat (≥ 0.11.0), roxygen2 (≥ 5.0.1), Rhipe, lattice
Published: 2018-08-19
Author: Ryan Hafen [aut, cre], Landon Sego [ctb]
Maintainer: ORPHANED
License: BSD_3_clause + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: datadr results


Reference manual: datadr.pdf
Package source: datadr_0.8.6.1.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: datadr_0.8.6.1.tgz, r-oldrel: datadr_0.8.6.1.tgz
Old sources: datadr archive

Reverse dependencies:

Reverse imports: fileplyr


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