replyr: Reliable Adaption of Big Data with R

Methods to use 'dplyr' remote data sources ('SQL' databases, 'Spark' 2.0.0 and above) in a reliable "generic" fashion (generic meaning user code works similarly on all such sources, without needing per-source adaption). Adds convenience functions to make such tasks more like working with an in-memory R 'data.frame'.

Version: 0.9.0
Depends: seplyr (≥ 0.1.5), wrapr (≥ 1.0.0), cdata (≥ 0.1.6)
Imports: dplyr (≥ 0.7.4), dbplyr (≥ 1.1.0), DBI (≥ 0.7), RSQLite
Suggests: testthat, knitr, rmarkdown, sparklyr (≥ 0.6.3), ggplot2, RPostgreSQL, DiagrammeR, igraph, htmlwidgets, webshot, magick, grid
Published: 2017-11-12
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: replyr results


Reference manual: replyr.pdf
Vignettes: Join Dependency Sorting
Vignette Title
NA rm
Parametric Programming in R
Join Controller
let Example
Package source: replyr_0.9.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: replyr_0.9.0.tgz
OS X Mavericks binaries: r-oldrel: replyr_0.9.0.tgz
Old sources: replyr archive

Reverse dependencies:

Reverse imports: WVPlots


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